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AI/works Heralds a New Era of Agile and Next-Generation Software Development

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PRNewswire
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AI/works™ Heralds a New Era of Agile and Next-Generation Software Development

Thoughtworks’ agentic development platform developed to support both technology modernization and greenfield development.

Thoughtworks, a global technology consultancy that integrates design, engineering and AI to drive digital innovation, announced the launch of AI/works™, a new agentic development platform that sets the standard for modernizing legacy systems and building new industrial-grade technology products and platforms in the AI era. We believe the platform allows us to build higher quality technology while fundamentally improving the economics of the building, maintaining, and operating enterprise-grade technologies.

For decades, Thoughtworks has shaped many of the practices that define modern software delivery, including Agile, microservices and continuous delivery. AI/works™ extends that lineage into the AI era by unifying legacy system understanding, requirements enhancement, dynamic automated specifications generation, and agentic code generation and testing in one platform built for complex enterprise environments.

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AI adoption is accelerating across industries, yet many organizations remain limited by the gap between AI ambition and legacy system reality. While emerging agentic platforms often assume clean-slate architectures or narrow productivity enhancements, AI/works™ is engineered for the hybrid conditions in which enterprises operate.

AI/works™ brings these worlds into one continuous flow. Our first set of clients building on AI/works™ show modernization cycles that once took years can now be completed in months, with significant cost reductions and dramatic time-to-market improvements, all while generating higher quality code.

The platform enables Thoughtworks’ 3-3-3 delivery model, providing a path from idea to production in 90 days, and plays well with leading ecosystems including AWS, Google Cloud, Microsoft Azure, Databricks and Snowflake. Through a collaboration with Mechanical Orchard, AI/works also supports deep mainframe renewal.

“Every CEO and CIO I meet is trying to unlock AI value inside the reality of their existing systems, not in idealized greenfield environments,” said Mike Sutcliff, CEO of Thoughtworks. “AI/works™ is built for those conditions. It understands the systems organizations have, accelerates the systems they need next and keeps everything current as the landscape shifts. The magic comes from the combination of the platform and our deeply talented technologists. Together they deliver results with speed and confidence.”

AI/works™ uses AI-enabled reverse engineering to interpret legacy applications and convert them into structured specifications enriched with regulatory, security and industry context. These specifications guide agentic workflows that generate production-grade code, automated tests and deployment pipelines. Once deployed, the platform continuously regenerates affected components as requirements evolve, reducing reliance on manual patching and avoiding large-scale rebuilds.

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Agentic engineering is emerging quickly as a competitive category. Several major firms are entering the space, yet most tools focus on accelerating new code rather than solving the structural challenges enterprises face.

“AI/works™ stands out because it addresses the entire lifecycle, from understanding and renewing legacy systems to building what comes next,” said R “Ray” Wang, CEO at Constellation Research. “This sets a new bar for the category.”

AI/works™ is available now through a co-innovation program. Broader availability will expand through Thoughtworks’ AI that works initiative and Q1 launch activities.

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GIBO Advances Toward Integrated Autonomous Mobility Systems, Building a Unified AI Stack Across Air and Ground Platforms

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PRNewswire
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GIBO Advances Toward Integrated Autonomous Mobility Systems, Building a Unified AI Stack Across Air and Ground Platforms

GIBO Holdings Ltd., Asia’s leading innovation-driven AI ecosystem, announced the next evolution of its AI mobility roadmap, advancing the GIBO.ai Calculation Engine toward a unified, cross-domain intelligence stack supporting progressively autonomous air and ground mobility systems.

Following strong industry and partner feedback on its AI-powered aerial intelligence services, GIBO is now extending its computation-driven framework to enable deeper integration across EV motorbikes, eVTOL platforms, logistics networks, and future autonomous mobility applications.

From Intelligence Services to Integrated Autonomous Systems

As mobility platforms increasingly generate real-time data and AI-derived insights, the next phase of innovation lies in closing the loop between perception, decision-making, and execution. GIBO.ai is designed to unify these layers into a single, extensible AI stack capable of supporting progressive autonomy across multiple mobility domains.

Rather than treating autonomy as a single endpoint, GIBO.ai enables a staged evolution—where systems gradually transition from assisted operation to higher levels of autonomy, guided by continuous learning, simulation, and real-world feedback.

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A Unified AI Stack Across Air and Ground Mobility

The GIBO.ai Calculation Engine integrates core AI functions including perception, navigation, behavioral modeling, mission planning, and system optimization. By standardizing these capabilities across both aerial and ground-based platforms, GIBO enables interoperability between EV motorbikes, eVTOL aircraft, and connected mobility infrastructure.

This unified approach allows mobility assets to share intelligence, coordinate actions, and adapt dynamically to environmental and operational conditions. Over time, this creates an ecosystem where air and ground systems operate as complementary components of a single intelligent mobility network.

Enabling Smarter, Safer, and More Sustainable Autonomy

A central focus of this initiative is ensuring that autonomy enhances safety, efficiency, and sustainability. The GIBO.ai framework continuously evaluates system performance, environmental conditions, and operational constraints, enabling intelligent decision-making that prioritizes energy efficiency, risk mitigation, and environmental impact.

By embedding sustainability metrics directly into AI decision loops, autonomous mobility systems can optimize not only for speed or efficiency, but also for carbon reduction and resource stewardship—aligning advanced autonomy with green-economy objectives.

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“Autonomy is not a feature—it is an evolving intelligence.”

“The positive response to our aerial intelligence services confirms that the market is ready for AI systems that go beyond isolated use cases,” said Zelt Kueh, CEO of GIBO Holdings Ltd.
“With GIBO.ai, we are building an integrated intelligence stack that allows autonomy to emerge responsibly across air and ground mobility. This approach ensures that future autonomous systems are not only smarter, but safer, scalable, and environmentally aligned.”

Laying the Foundation for the Next Generation of Smart Mobility

This advancement positions GIBO.ai as a horizontal AI platform supporting the future of smart mobility, logistics, and urban infrastructure. As the ecosystem evolves, the unified AI stack is expected to support applications ranging from intelligent fleet coordination and automated logistics to adaptive urban mobility and next-generation autonomous services.

By aligning autonomy with computation-driven sustainability and cross-platform intelligence, GIBO continues to build foundational infrastructure for a future where mobility systems operate seamlessly, responsibly, and in harmony with the global green economy.

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Planning for a Marketing Rebound in 2026: A Martech Perspective

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Christian Armstrong
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Planning for a Marketing Rebound in 2026: A Martech Perspective

Marketing budgets have been tight for the past few years, but several industry forecasts point to a measurable upswing heading into 2026. Analysts expect global ad-sales to rise about 6.3 percent, while the martech category is projected to expand by roughly 20 percent to around $669 billion.

Rather than a simple return to higher spending, this rebound reflects a shift toward smarter, more connected investments in marketing technology. One of the clearest examples is in retail, where brands are reimagining how in-store experiences fit into the larger martech ecosystem. Retailers are integrating digital tools into physical spaces to create a consistent, data-driven experience, ensuring that every interaction, from an online ad to a store visit, feels part of the same conversation.

Modernizing in-store marketing

While e-commerce and digital advertising have evolved rapidly, in-store marketing has struggled to keep pace. Static displays and disconnected systems can’t support the real-time, data-driven strategies that now shape consumer engagement. Campaigns launch within minutes, often reacting to social trends, shifting inventory, or micro-segments of shopper behavior – areas where traditional point-of-sale tactics can fall short.

To bridge that gap, retailers are introducing connected technologies that bring digital intelligence into the real world. From interactive kiosks and mobile integrations to dynamic shelf labels, sensor networks, and next-generation point-of-sale systems, these tools give marketers the agility to adjust messaging and experiences in real time. A grocery chain might update promotions based on weather or local events; a fashion brand might personalize offers using loyalty-app data.

When the physical environment keeps pace with the digital one, the store becomes a more valuable part of the customer journey, mirroring the responsiveness of digital marketing while preserving the sensory and social power of shopping in person. Retailers gain the ability to react quickly, reduce operational friction, and respond with confidence throughout the store.

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Connecting the digital and the physical

Once the store is equipped with connected in-store systems, the next step is to tie that technology into the same data and platforms that power digital campaigns. When online and offline systems share information, retailers can deliver more consistent, relevant, and timely experiences across every channel.

Imagine a customer who browses sneakers online and later walks into a store to find a promotion for the same style displayed on a nearby screen. Or a coffee chain that automatically updates mobile menu boards when a location sells out of a featured drink. Data from loyalty apps can inform these real-time adjustments, while in-store behavior, such as how long a shopper lingers at a display, feeds back into CRM systems to refine audience targeting.

This two-way connection also streamlines operations. When product availability or pricing changes, updates can cascade instantly across websites, social ads, and store signage, keeping information consistent without manual coordination.

By integrating in-store systems with digital marketing platforms, retailers close the loop between what customers see and how they respond. Each visit generates insight that can improve creative, sharpen audience targeting, and guide where to invest next, making the store a measurable part of the same network as the brand’s online presence.

Working with a lean marketing budget

Even as optimism builds for 2026, many marketing teams are still working with tight budgets. The challenge isn’t necessarily to spend more, but to make every dollar go further through flexible, data-informed tools.

Digital signage remains one of the most cost-effective ways to modernize the in-store experience without adding recurring expenses. By replacing printed materials with dynamic screens, retailers can eliminate production and distribution costs while gaining real-time control over content. A single content management system can push promotions across hundreds of locations, allowing marketers to highlight local events, respond to weather conditions, or adjust menus and offers instantly. Because content can be updated from anywhere, digital signage also supports rapid testing – measuring dwell time, engagement, and conversion to refine creative decisions.

Other useful tools include cloud-based automation platforms, which can synchronize in-store and online campaigns, triggering digital displays, social posts, and email alerts from the same data source. Loyalty apps and mobile wallets can push time-sensitive offers the moment customers enter a store or approach a specific product, turning personalized marketing into a live interaction.

In addition, QR-enabled print displays can link physical materials to online experiences, such as product demos, local inventory lookups, or instant coupons. And AI-powered analytics tools can analyze performance data across locations, helping teams decide where to increase spend or adjust creative. Together, these technologies give marketers the agility to respond in real time – testing, refining, and reallocating resources toward what actually drives results.

Final thoughts

As the marketing landscape moves toward a 2026 rebound, retailers have an opportunity to build a stronger foundation for growth. The convergence of martech and in-store innovation means physical spaces are no longer static: they’re interactive, data-rich, and deeply connected to the broader marketing ecosystem.

The marketing rebound ahead won’t be about returning to old budgets; it will be about building smarter, connected systems that bridge every touchpoint, optimize every dollar, and turn every store visit into measurable engagement.

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SER Group Rebrands to ‘Doxis’ and Enhances Leadership to Reflect AI-First Focus as ‘The Document Intelligence Company’

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Business Wire
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SER Group Rebrands to 'Doxis' and Enhances Leadership to Reflect AI-First Focus as 'The Document Intelligence Company'

Doxis Logo

SER Group announced it has changed its brand name to “Doxis”, uniting the company under the same brand as its flagship Intelligent Content Automation platform and solutions. The rebrand coincides with the appointment of new senior leaders in sales and AI to accelerate the company’s commercial success and innovation as “The Document Intelligence Company”.

We are excited to share our new brand and Document Intelligence vision with customers and partners

Rebranding the company as Doxis marks a decisive new chapter in its evolution as a leading provider of next-generation intelligent content automation software, capping 40 years of innovation and customer success with another year of profitable growth in 2025. While the company brand has changed, products and services maintain their existing names.

Dr. John Bates, CEO of Doxis, says, “Over five million users work with the Doxis platform every day to get their work done more efficiently, compliantly and intelligently. In the past twelve months, we welcomed three acquisitions to broaden the value and power of the platform for those customers. Now, united under the trusted Doxis brand and led by our popular mascot and AI assistant Doxi, we are excited to share our new brand and Document Intelligence vision with customers and partners.”

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A new era: Delivering Document Intelligence

As The Document Intelligence Company, Doxis delivers a full suite of solutions across the entire document lifecycle on a single, unified AI-first platform. “Where competitors offer fragmented point solutions, Doxis delivers true end-to-end document lifecycle automation and governance on one platform — deeply integrated with leading enterprise technologies such as SAP, Salesforce, and Microsoft,” says Bates.

This evolution builds on recent strategic investments, including acquisitions in customer communication management, SAP document automation, and intelligent document processing, which enable customers to replace siloed solutions with one consolidated platform that provides holistic, efficient control over information flows across the enterprise.

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New AI and Sales leaders drive next chapter of Doxis’ growth

To support the company’s global expansion and innovation as the business scales under the new Doxis brand, the company has further strengthened its leadership team with three senior Sales and AI appointments.

Yeelen Knegtering has been appointed Chief AI Officer of Doxis. As co-founder and CEO of IDP provider Klippa — acquired by Doxis in March 2025 — Knegtering will lead Doxis’ company-wide AI strategy. This includes AI implementation, ethics and governance, bridging technology and business objectives to drive innovation, efficiency, and new revenue opportunities for Doxis.

Andy Spence joins Doxis as Chief Revenue Officer. He is responsible for the global sales organization, including Solution Engineering and Revenue Operations. Spence brings extensive experience from both public and private equity-backed software companies. Most recently, he was Chief Sales Officer at Accelya and previously led EMEA North at Qlik.

Doxis also welcomes Jean Van Vuuren as Vice President of Sales EMEA. Van Vuuren has deep expertise in the enterprise content management (ECM) and intelligent document processing (IDP) markets, with over two decades of experience driving growth across healthcare and international markets.

“With our refreshed Doxis brand, upgraded Document Intelligence vision and strengthened leadership team, we’ve invested significantly to keep up the growth and innovation our customers are demanding in 2026,” comments Bates.

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As AI Search Evolves, Dubai Businesses Strengthen SEO with Generative Engine Optimization

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MTS Staff Writer
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As AI Search Evolves, Dubai Businesses Strengthen SEO with Generative Engine Optimization

As AI-driven search reshapes discovery, Dubai companies adopt Generative Engine Optimization to improve visibility across search engines and AI platforms.

Search Engine Optimization (SEO) continues to remain one of the most effective and trusted long-term growth channels for businesses worldwide. As search technology evolves, however, SEO itself is expanding to meet new requirements shaped by artificial intelligence, generative search systems, and answer-driven discovery.

In Dubai, an increasing number of businesses are strengthening their SEO foundations by adopting Generative Engine Optimization (GEO) and Answer Engine Optimization (AEO)—advanced extensions of SEO focused on improving how brands are interpreted, trusted, and surfaced within AI-powered and conversational search experiences expected to dominate by 2026.

AI-driven and answer-based search rewards businesses that present their SEO assets with clarity, structure, and credibility. GEO and AEO represent the next stage of SEO—not a departure from it.”

— Hannah

Dubai-based digital firm Right-Door is working with UAE businesses to reinforce core SEO while preparing their digital presence for AI-driven discovery, generative results, and answer-based search interfaces.

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SEO Is Evolving, Not Declining

Rather than replacing SEO, GEO and AEO build directly on its core principles: relevance, authority, technical excellence, and user experience. What has changed is how search engines process, synthesize, and present information.

“Strong SEO remains essential,” said Hannah, Head of AI Search Strategy at Right-Door. “AI-driven and answer-based search rewards businesses that present their SEO assets with clarity, structure, and credibility. GEO and AEO represent the next stage of SEO—not a departure from it.”

As generative and answer engines increasingly summarise information instead of displaying simple link lists, brands must ensure their content, structure, and signals clearly communicate expertise, intent, and reliability.

From Zero Visibility to Search Authority

Right-Door’s work with UAE businesses has increasingly focused on companies starting with little to no organic presence—including new market entrants, rebranded firms, and SMEs operating in highly competitive sectors.

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By rebuilding SEO foundations from the ground up and layering GEO and AEO principles, businesses that previously struggled to appear in search results have been able to establish clear topical authority, consistent discoverability, and stable inbound demand.

Rather than pursuing short-term ranking tactics, Right-Door’s approach prioritises:

Clean technical SEO and crawl clarity

Structured, answer-ready content aligned with real user intent

Semantic authority across core service areas

Search experiences designed to convert discovery into action

This zero-to-authority model has enabled businesses to progress from minimal visibility to appearing prominently across organic, generative, and answer-based search experiences.

Measurable Impact Across Competitive Sectors

Right-Door has applied SEO-led, GEO-enhanced, and AEO-aligned frameworks across several of Dubai’s most competitive industries, including professional services, e-commerce, real estate, and B2B sectors—where organic search remains a primary driver of demand.

Businesses adopting this integrated approach have reported:

Improved organic visibility across evolving search and AI interfaces

Higher-intent traffic driven by search-led and answer-led content

Stronger authority and trust signals recognised by AI and answer engines

Reduced dependency on short-term paid acquisition

Within this model, paid media functions as a supporting signal, reinforcing organic visibility and authority rather than replacing SEO-led growth.

From Keywords to Contextual and Answer Authority

While traditional SEO focused heavily on keywords and rankings, modern SEO—enhanced through GEO and AEO—prioritises context, intent, and structured information designed to surface directly within AI-generated summaries and answer-based results.

Right-Door’s methodology aligns technical SEO, semantic content architecture, structured data, website performance, and user behaviour into a unified framework optimised for human users, search engines, and AI-driven answer platforms.

“Search today is driven by understanding,” Hannah added. “When AI and answer engines can clearly interpret what a business offers, who it serves, and why it’s credible, sustainable visibility follows.”

Preparing UAE Businesses for 2026

As AI, generative search, and conversational answer engines become embedded across major platforms, SEO strategies that overlook structure, experience, and answer-readiness risk underperforming—not because SEO is ineffective, but because it has matured.

Right-Door’s work reflects a broader industry shift toward search- and answer-intelligent digital infrastructure, helping businesses remain visible, referenced, and competitive as AI reshapes how discovery works.

SEO Remains the Foundation of Sustainable Growth

Despite rapid changes in digital channels, organic search continues to be one of the most cost-efficient and trusted sources of long-term demand. AEO and GEO do not replace SEO—they amplify it.

For Dubai businesses planning for the future, the path forward is not abandoning SEO, but strengthening it through GEO- and AEO-led frameworks built for the next generation of search and answer-driven discovery.

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.

Anduril Selects Dirac to Power AI-Driven Work Instructions Across Its Factories

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PRNewswire
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Anduril Selects Dirac to Power AI-Driven Work Instructions Across Its Factories

Dirac’s BuildOS Becomes a Core Manufacturing Infrastructure Partner for Anduril

Anduril has selected Dirac as its core partner for AI-driven work instruction authoring across its manufacturing operations in a multi-year deal, following an extensive evaluation of incumbent enterprise solutions and internal development.

In initial deployments, Anduril observed an average 87.5% reduction in work instruction authoring time, collapsing a process that previously took 12 business hours into just 90 minutes. By partnering with Dirac, Anduril saw a ~10x speedup on one of the most critical coordination loops in manufacturing. This means freeing engineering teams to launch faster, getting products to market faster, and scaling production without scaling headcount.

A Real Manufacturing Bottleneck at Scale

As Anduril’s products have become increasingly modular, configurable, and fast-evolving, the company encountered a growing manufacturing bottleneck: work instructions.

In manufacturing, work instructions are the step-by-step guidance that turns engineering intent into physical production, such as defining parts, tools, sequences, and fit. Because Anduril is constantly updating its products’ designs, its work instructions were struggling to stay current, forcing manufacturing engineers to spend significant time reconciling changes across CAD models, instructions and routings in its MES, and the reality of what was built out on the factory floor.

Prior to Dirac, over 100 manufacturing engineers at Anduril were spending roughly 50% their time manually authoring and updating work instructions. At Anduril’s scale, that translates into thousands of engineering hours per week spent on documentation and rework. That’s time not spent improving throughput, quality, and ramp speed.

Anduril faced a choice: slow design to protect manufacturing, or fundamentally rethink how manufacturing coordination works. Slowing down was never an option.

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Dirac Emerges as the Clear Winner

To solve this problem, Anduril evaluated every option: building internally and extending incumbent enterprise tools. Dirac stood apart.

Rather than treating work instructions as static documents, Dirac’s BuildOS maintains a live, model-based representation of the product, the factory, and the relationship between the two. Geometry, structure, variants, physics, assembly logic, stations, tools, and material flow are represented in a single system. Work instructions derive automatically from this model , therefore significantly reducing the need for manual authoring and re-authoring across Anduril.

With Dirac’s BuildOS, when design changes, instructions update automatically. There is no pain-staking re-authoring, no document drift, and no manual reconciliation between systems.

Manufacturing at Software Speed

Before Dirac, keeping work instructions in sync with engineering changes was a constant scramble. Any design update meant hours of rework, screenshots, and manual checks just to make sure the floor had the right information. With Dirac, instructions update automatically as the design evolves. As Dirac continues rolling out across Anduril, Anduril expects to:

  • Propagate engineering changes through production in minutes, not days
  • Re-sequence builds instantly
  • Surface DFM issues earlier
  • Scale output without scaling coordination overhead
  • Spend their time improving the product instead of maintaining documents
  • Have their production lines adapt dynamically at the speed of design

Dirac’s BuildOS is built on AI that deterministically reasons over structured manufacturing data, interpreting CAD geometry, inferring assembly steps, detecting dependencies, and propagating engineering changes through production plans. This enables manufacturing to run as fast as design.

Beyond work instructions, Dirac’s BuildOS enables continuous Design-for-Manufacturability (DFM) feedback and earlier insight into cost, tooling, and throughput constraints. By keeping design and production context aligned, Anduril can reduce time-to-build, cost, and ramp risk before production begins.

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Expanding Across Anduril’s Stack

Anduril’s Internal Tools team comprises ~280 people and supports more than 35 product lines. Anduril has no shortage of capital, engineering talent, or internal tooling capability. Still, Anduril chose to partner with Dirac for a multi-year deal to make Dirac a key element of their production tool stack.

“The Dirac team understands manufacturing at a system level,” said Cy Sack, Head of Business Systems at Anduril. “Work instructions are the atomic unit of information in a factory, and Dirac’s BuildOS is the first platform we’ve evaluated that actually models that reality correctly. Just as importantly, they execute at an extremely high bar. The team moves fast, integrates cleanly, takes feedback seriously, and delivers real value quickly in complex, constrained environments. From both a capabilities and execution standpoint, they were the obvious choice.”

Dirac’s BuildOS was deployed in an Anduril-hosted, ITAR-compliant cloud environment and became operational within days, delivering results even before deep PLM and MES integrations.

Anduril Bets on Dirac Long-Term

Following initial deployment, Anduril is expanding the use of Dirac across additional Anduril products manufacturing programs, with deeper integrations over time.

“Every serious manufacturer eventually hits the same wall: engineering moves fast, factories move carefully, and coordination becomes the true bottleneck,” said Matt Grimm, Co-Founder and COO of Anduril. “Dirac is the only team that understood this problem from first principles and how to solve it implicitly. Dirac’s BuildOS is becoming a core enabler of Arsenal OS, Anduril’s digital software ecosystem of manufacturing technologies. With Dirac, Anduril’s factories can be even more adaptive, dynamic, reconfigurable, and context-aware. AI-driven work instructions are the key.”

For Dirac, Anduril serves as a proof point and a partner in their mission to reindustrialize the West. Both Dirac and Anduril believe that the future of manufacturing will be defined by speed, efficiency, and the ability to adapt in real time. That starts with automating the orchestration layer of manufacturing facilities. Dirac is delivering the infrastructure that enables western manufacturers to compete and win at global scale.

“Anduril is one of the most technically demanding manufacturers operating today,” said Fil Aronshtein, Co-Founder and CEO of Dirac. “They move with software speed, understand systems deeply, and recognize leverage when they see it. They don’t waste time on incremental tools. We’re building the operating system that advanced manufacturers like Anduril actually run on. When teams operating under real constraints choose Dirac, it’s because this layer matters. That’s how the Arsenal of Democracy scales.”

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DriveCentric and Dealer Pay Announce Strategic Partnership to Enable Payments Within the CRM

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PRNewswire
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DriveCentric and Dealer Pay Announce Strategic Partnership to Enable Payments Within the CRM

Partnership signals platform direction, extending customer engagement through the point of payment

DriveCentric, the modern CRM and engagement platform built for dealerships, announced a strategic partnership with Dealer Pay, a dealership-specific payments platform built for automotive dealers, to enable compliant payment collection within DriveCentric.

The partnership is designed to bring payment capability into the natural flow of customer engagement inside the CRM, allowing dealerships to complete the workflow from conversation to revenue without introducing disconnected systems or manual handoffs. Importantly, DriveCentric is not entering the payments business; Dealer Pay provides the compliant payments platform powering the capability.

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“As the premier customer-centric engagement platform, we believe CRMs should orchestrate the entire customer journey across every touchpoint and every department within the dealership,” said Matt Leone, CEO of DriveCentric. “By embedding payments directly into DriveCentric on both mobile and desktop, we’re extending the CRM engagement lifecycle through the point of revenue collection— staying true to our core mission of driving better engagement.”

For dealerships, payment collection is no longer just a back-office function. It impacts customer experience, operational efficiency, compliance, and brand trust. By partnering with Dealer Pay, DriveCentric ensures payments are handled by a platform purpose-built for dealership operations, regulations, and accounting realities.

“This partnership exists because engagement alone isn’t enough anymore,” said Julie Douglas, Founder and CEO of Dealer Pay. “Dealers expect systems to deliver outcomes. By partnering with DriveCentric, we bring payments expertise, compliance, and dealership controls into the CRM experience — completing the lifecycle so engagement doesn’t stop short of revenue.”

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The announcement underscores DriveCentric’s platform strategy to extend customer engagement throughout the vehicle ownership lifecycle. By expanding our partner ecosystem, we enable seamless, bi-directional integrations that allow DriveCentric to stay focused on engagement while partners deliver their core strengths. The partnership is expected to be available in Q1 2026.

DriveCentric and Dealer Pay will discuss the partnership and its implications for dealership operations during a special keynote-style session at the DriveCentric booth at NADA 2026.

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.

Viooh Partners With Atmosphere Tv To Unlock Programmatic Access

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MTS Staff Writer
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Viooh Partners With Atmosphere Tv To Unlock Programmatic Access

VIOOH, a leading premium global digital out of home (DOOH) supply-side platform, recently announced a strategic partnership with Atmosphere TV, the world’s largest streaming TV platform built for businesses, expanding access to premium place-based video inventory in the UK, North America and Australia.

The partnership delivers access to over 60,000 venues generating more than 1 billion monthly impressions across restaurants, bars, gyms, airports, hotels and other high-traffic business locations. Atmosphere TV reaches over 150 million monthly viewers with more than 30 channels of audio-optional, brand-safe content.

With over 85% market share in North America’s place-based streaming sector, Atmosphere TV’s network spans restaurants, bars, gyms, airports, hotels, offices buildings, and other high-traffic, high-dwell-time locations.

The platform delivers a compelling value proposition for advertisers seeking to reach consumers in high-dwell time environments, with average viewing times at 40 minutes. Atmosphere TV-enabled venues experience a 40% increase in visits during major sporting events, demonstrating the platform’s ability to capture audiences during premium viewing moments.

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“Atmosphere TV opens up a completely new advertising opportunity – reaching audiences in the moments when they’re relaxed, engaged and spending quality time in venues they’ve actively chosen to visit,” said Gavin Wilson, Global Chief Commercial Officer at VIOOH. “With 40+ minute average dwell times and 100% viewable, non-skippable inventory, advertisers can connect with consumers who are genuinely attentive. The programmatic capabilities we’re bringing to this partnership mean brands can target by venue type, location and even activate around live sporting events – it’s place-based advertising at its most sophisticated.”

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“Partnering with VIOOH brings a new level of programmatic sophistication to our offering,” said Ryan Spicer, Chief Revenue Officer at Atmosphere TV. “Our platform already delivers exceptional reach and engagement for advertisers. Now, through VIOOH’s technology and global marketplace, brands can access our inventory with the flexibility and precision that VIOOH programmatic enables, from preferred deals to programmatic guaranteed. This makes it easier than ever for advertisers to reach active consumers who are already out and primed to spend.”

Through programmatic buying via VIOOH’s supply-side platform, 100% of Atmosphere TV inventory is now available with comprehensive targeting capabilities including content, audience, geo, context and business type, tentpole events and live sports with radius targeting and first and third-party data integration. The platform accepts video with durations from six to 90 seconds, and offers flexible buying options including preferred evergreen deals, first-look private auctions and programmatic guaranteed.

VIOOH is a leading premium global digital out-of-home supply-side platform.

Launched in 2018 and with headquarters in London, VIOOH’s platform connects buyers and sellers in a premium marketplace, making OOH easily accessible.

Led by a team of digital OOH and programmatic tech experts, VIOOH is pioneering the transformation of the OOH sector, championing its role in enhancing omni-channel digital campaigns through the use of programmatic capabilities and data. VIOOH currently trades programmatically in 35 markets and drives demand through partnerships with +50 DSPs globally, with more to follow.

Atmosphere TV is a premium CTV FAST platform that makes it fun to watch TV outside of the living room – in bars, restaurants, gyms, airports, and other high-traffic locations. Atmosphere TV is tailored exclusively to businesses, offering more than 30 original and partner TV channels focused on sports, news, and entertainment. Atmosphere has been named to Deloitte’s 2023 Technology Fast 500, Fast Company’s 2022 Most Innovative Companies, and Forbes’ Next Billion Dollar Startups lists. The platform is designed to engage viewers in non-residential spaces, providing marketers with unique audience reach and moments of attention.

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Madhive Taps Two Industry Veterans to Further Drive Evolution and Innovation In Local Media 

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Madhive Taps Two Industry Veterans to Further Drive Evolution and Innovation In Local Media 

Long-time TEGNA leader and News-Press & Gazette CRO Nicki Harkrider-Probey will spearhead local media growth and expansion while former Cox Media Group executive Mindy Buckalew will lead omnichannel operations

Madhive, a leading operating system for local media, today announced the appointments of Nicki Harkrider-Probey as Chief Revenue Officer (CRO) and Mindy Buckalew as Senior Vice President of Operations. As local advertisers demand greater precision and accountability amid its shift toward data-driven outcomes, Harkrider-Probey and Buckalew will strengthen the company’s leadership and operational velocity toward data-driven, outcome-based advertising at scale.

“Nicki and Mindy bring deep experience in revenue transformation and digital operations at a critical moment for local media,” said Jim Wilson, CEO of Madhive. “They don’t just understand the landscape; they’ve spent their careers reshaping and innovating it. These trusted leaders will be instrumental in helping our local media partners further transform how they sell, operate, and deliver measurable results for advertisers.”

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Harkrider-Probey is an industry-leading expert in media sales and revenue growth bringing more than three decades of experience leading sales and revenue organizations across local and national media. She specializes in building high-performing teams, modernizing go-to-market strategies, and strengthening long-term client relationships. As Chief Revenue Officer, Harkrider-Probey will lead Madhive’s revenue strategy, focusing on driving partner growth, client expansion, scalable monetization, and aligning the company’s local-first platform with evolving advertiser demand. She has been recognized by the Alliance for Women in Media with a Silver Award of Excellence for leadership, an honor that underscores her long‑standing commitment to elevating the media landscape.

“I’ve partnered with Madhive for years and have seen firsthand how it delivers precision at the local level with unmatched scale,” said Harkrider-Probey. “I’m thrilled to join the team as we accelerate our local-first DSP and operating system. By integrating Maverick AI and sophisticated planning tools into their workflows, we are giving local media buyers and sellers the actionable insights they need to drive real outcomes. Madhive is the most important growth engine for the industry today, and I’m ready to lead this next chapter.”

Buckalew joins Madhive to champion operational excellence, bringing a 19+ year track record of driving digital business and media transformation. Most recently, she served as Vice President of Digital Business Operations at Cox Media Group, where she led digital planning, execution, and workflow optimization across teams. In her role at Madhive, Buckalew will oversee digital business operations, with a focus on execution efficiency, platform scalability, partner integrations, and supporting continued product and operational innovation to ensure the company continues to deliver frictionless performance at every touchpoint.

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“Having sat in the customer’s seat at Cox Media Group, I’ve experienced firsthand how Madhive’s ‘pitch to pay’ workflow transforms local execution,” said Buckalew. The strength of the system lies in its ability to consolidate fragmented channels and systems into a single pane of glass. In my new role, I look forward to championing the operational rigor that ensures our clients maximize these efficiencies, reducing their overhead while elevating their execution.”

“To capture the $170 billion local advertising market, the industry needs more than just tools—it needs massive, unified scale,” added Wilson. “Madhive exists as the powerhouse operating system built to provide that scale, eliminate the complexities of execution, and capture a larger share of the local advertising market. Nicki and Mindy will bolster our leadership team’s deep understanding of the landscape today and what it will take to compete tomorrow.”

With over 400 employees, the appointments reflect Madhive’s continued investment in top-tier talent as it cements its role as the leading platform for planning, analytics, and outcomes solutions for local media. The company has earned the trust of media leaders including Fox, Hearst, and News-Press & Gazette, and continues to expand its digital advertising hub for local, offering both managed and self-service solutions.

Madhive is the only unified operating system built to empower local media companies to scale their advertising businesses and extend their reach to new audiences. Madhive’s customizable end-to-end platform supports the entire campaign lifecycle from proposal generation and planning to omnichannel buying, real-time optimization, and measurement. With robust workflow software that integrates seamlessly into existing systems, Madhive equips sellers with powerful tools to drive revenue. Trusted by the leading local media and broadcast companies and agencies, Madhive powers over 50,000+ campaigns reaching local audiences and delivering outcomes every day.

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AtData Launches Gibberish Detection to Strengthen Fraud Intelligence and Block Bot-Generated Identities

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AtData Launches Gibberish Detection to Strengthen Fraud Intelligence and Block Bot-Generated Identities

AtData

New real-time signal identifies and intercepts emails classified as synthetic, random or automated

AtData, a leading innovator in email address intelligence and digital trust solutions, today announced Gibberish Detection, a new machine learning-driven model in its fraud prevention suite. The capability identifies AI-generated, nonsensical, or otherwise low-intent email inputs at the point of capture. By surfacing a fast, high-confidence indicator of likely bot or synthetic addresses, the feature helps fraud and risk teams prioritize accuracy and speed while cutting operational costs.

“Stopping automated and synthetic accounts at the first touchpoint is one of the most cost-efficient ways to lower fraud exposure,” said Diarmuid Thoma, Head of Fraud & Data Strategy at AtData. “Gibberish Detection converts messy email input into a structured signal that boosts model accuracy, keeps review queues focused on real risk, and slows fraudsters instead of valuable customers.”

Across AtData’s leading activity network, approximately 5% of captured email inputs appear to be randomly generated, nonsensical, or otherwise gibberish – a baseline signal and early indicator of low-intent or automated creation. For a global on-demand services provider, AtData’s recent deployment found the gibberish detection rate doubled to nearly 10% of new orders.

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Gibberish Detection analyzes the text of an email address to classify the likelihood of randomness or automation using indicators such as pattern anomalies and likely bot behavior. The resulting real-time, confidence-weighted signal strengthens identity verification, fraud screening, and risk decisioning workflows by offering:

  • Faster decisions, less friction: Provides an instant blocking or scoring signal to prevent low-value registrations without adding multi-step verification that annoys legitimate users.
  • Higher accuracy, fewer false positives: Adds a purpose-built signal for automated patterns, reducing reliance on rules that can misclassify legitimate users.

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  • Lower operational costs: Reduces manual review volume—one of the largest expenses in fraud programs—by filtering low-value registrations at the start.

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Scalefusion Achieves Zebra Technologies Validation for Unified Management Platform

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Scalefusion Achieves Zebra Technologies Validation for Unified Management Platform

ProMobi Technologies announced that Scalefusion, a leading Unified Management solution, is now Zebra validated.

This validation comes after Scalefusion’s successful completion of Zebra Technologies’ Enterprise Testing Program, earning validation for its platform with Zebra’s range of thermal printers. This recognition confirms that Scalefusion has met Zebra’s rigorous interoperability and performance benchmarks, ensuring customers can confidently deploy and manage Zebra devices within their enterprise environments.

Zebra’s Enterprise Testing Program is designed to validate the compatibility of third-party solutions with Zebra’s mobile computers, scanners, printers, and RFID technologies. By achieving this validation, Scalefusion demonstrates that its UEM platform works seamlessly with Zebra to deliver reliable, scalable, and secure management. Customers leveraging Zebra’s printing solutions for mission-critical operations—such as retail, logistics, manufacturing, and healthcare can now integrate them into Scalefusion’s platform with the assurance of smooth performance and consistent results.

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“Validation from Zebra underscores the strength of our platform and its ability to support customers operating in highly demanding environments,” said Sriram Kakarala, Chief Product Officer at Scalefusion.

“Enterprises using Zebra printers for essential labeling, tracking, and workflow processes can now manage these devices through Scalefusion with confidence in performance, security, and compliance,” he added.

The Scalefusion platform simplifies endpoint management by enabling IT administrators to remotely configure, monitor, and secure devices across diverse locations. It also enables businesses to remotely configure, monitor, and secure Zebra devices across diverse locations and offers Firmware Over-the-Air (FOTA) updates, playing a crucial role in keeping devices compliant with the latest releases and security standards. With Zebra validation, enterprises can extend this unified management to Zebra thermal printers, reducing operational overhead while maintaining consistent governance across fleets of devices.

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Scalefusion is a proud member of Zebra Technologies’ PartnerConnect program, joining a network of trusted partners committed to delivering integrated, high-performance solutions that empower businesses at the front line of operations.

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e& and IBM Unveil Enterprise-Grade Agentic AI to Transform Governance and Compliance

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e& and IBM Unveil Enterprise-Grade Agentic AI to Transform Governance and Compliance

  • Announced at the World Economic Forum in Davos, the deployment marks e&’s move beyond traditional chatbots to enterprise-grade agentic AI.

  • Powered by IBM watsonx Orchestrate, agentic AI is embedded into mission-critical governance and compliance systems across e&.

Global technology group e& and IBM announced a strategic collaboration to advance towards an enterprise-grade agentic AI foundation at e&, starting with policy, risk, and compliance. Unveiled at the World Economic Forum Annual Meeting in Davos, the initiative reflects e&’s move beyond traditional natural language processing (NLP)-based chatbots toward governed, action-oriented AI embedded in core enterprise systems.

e& and IBM have introduced an agentic AI solution built on IBM watsonx Orchestrate – a product offering more than 500 tools and customizable, domain-specific agents from IBM and its partners – to help employees and auditors quickly access and interpret legal, regulatory, and compliance information. Integrated with IBM OpenPages and the broader watsonx portfolio, the solution delivers clear, traceable responses aligned with enterprise governance requirements.

A joint proof of concept delivered by IBM, GBM (Gulf Business Machines) and e& within eight weeks demonstrated how agentic AI can operate at enterprise scale under real-world conditions.

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IBM’s Client Engineering team led the design and integration of the agentic AI solution, with GBM supporting delivery through project coordination and deep familiarity with e&’s OpenPages and watsonx Assistant environment. The work showcased AI capabilities that move beyond traditional question-and-answer tools, enabling reasoning and action while remaining aligned with e&’s governance, risk, and compliance framework.

“Our ambition is to move beyond isolated AI use cases toward enterprise-scale agentic AI that is trusted, governed, and deeply integrated into how the organization operates,” said Hatem Dowidar, Group CEO, e&. “By collaborating with IBM, we are embedding intelligence directly into our risk and compliance processes, enabling faster decisions, consistent policy interpretation, and a foundation for broader agentic AI adoption across the enterprise.”

IBM watsonx Orchestrate enables agentic AI that goes beyond chat-based interactions, allowing AI agents to reason, orchestrate tasks, and integrate with enterprise systems under governance controls. For e&, it provides a foundation for trusted, explainable AI that can scale across compliance and other enterprise domains. It helps to streamline compliance tasks, reduce response times, and enable 24/7 self-service access across the organization.

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The initiative also aligns natively with watsonx.governance, already in use at e&, providing a strong foundation for AI governance, explainability, and compliance by design. By embedding agentic AI directly into the OpenPages governance, risk, and compliance platform, this represents one of the early enterprise-grade agentic AI implementations in the region, demonstrating how AI can support trusted, human-led decision-making under regulatory and operational requirements.

The deployment also demonstrates the flexibility of IBM’s AI and model gateway approach, enabling large language models to run across hybrid environments, including customer-managed infrastructure, while remaining governed under enterprise controls.

“As organizations move from experimenting with AI to embedding it into the fabric of how they operate, governance and accountability become just as important as intelligence,” said Ana Paula Assis, SVP and Chair for Europe, the Middle East, Africa, and Asia Pacific, IBM. “Through our collaboration with e&, this proof of concept intends to demonstrate how agentic AI can be designed and validated for enterprise-scale use, deeply integrated into core systems, governed by design, and trusted to support human-led decisions and outcomes.”

This collaboration marks an important milestone in e&’s enterprise AI journey, establishing a scalable and governed foundation for agentic AI adoption across the organization. By embedding action-oriented AI directly into core governance and compliance workflows, e& is reinforcing its commitment to responsible innovation and setting a new benchmark for trusted, enterprise-grade agentic AI in the region.a

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IBM Launches Enterprise Advantage Service to Help Businesses Scale Agentic AI

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IBM Launches Enterprise Advantage Service to Help Businesses Scale Agentic AI

New AI‑powered consulting service delivers a secured platform, shared standards, and reusable AI assets to help organizations accelerate growth and drive innovation 

IBM announced IBM Enterprise Advantage, a first-of-its-kind asset-based consulting service that combines proven AI-tools and expertise to help clients quickly build, govern, and operate their own tailored internal AI platform at scale.

Organizations can now use IBM Enterprise Advantage to redesign workflows, connect AI to existing systems, and scale new agentic applications without requiring changes to their cloud providers, AI models, or core infrastructure. This includes Amazon Web Services, Google Cloud, Microsoft Azure, IBM watsonx, and both open‑and closed‑source models, allowing companies to build on their existing investments.

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IBM Enterprise Advantage brings together the technical and industry expertise of IBM consultants with technology built from IBM Consulting Advantage, IBM’s own internal AI-powered delivery platform. With a growing marketplace of industry‑specific AI agents and applications, IBM Consulting Advantage has already supported more than 150 client engagements and been shown to boost consultants’ productivity by up to 50% to help clients achieve faster results.

Now with the Enterprise Advantage service, IBM is giving clients access to the same proven approach and capabilities to build their own AI platforms and navigate the complex AI marketplace to drive enterprise value.

For example, Pearson, a lifelong learning company, is using this service to build a custom AI‑powered platform that combines human expertise with agentic assistants to manage everyday work and decisions.

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A manufacturer company has used Enterprise Advantage to implement its generative AI strategy. This includes identifying high‑value use cases, testing targeted prototypes, and aligning leaders around a scalable, platform‑first strategy. With an Enterprise Advantage solution, the client is now deploying AI assistants using multiple technologies in a secured, governed environment that lays the foundation for expanding generative AI across the enterprise.

“Many organizations are investing in AI, but achieving real value at scale remains a major challenge,” said Mohamad Ali, Senior Vice President and Head of IBM Consulting. “We have solved many of these challenges inside IBM by using AI to transform our own operations and deliver measurable results, giving us a proven playbook to help clients succeed. Enterprise Advantage brings this framework to clients by combining human expertise with digital workers and ready-to-use AI assets so they can scale AI with confidence and achieve meaningful impact.”

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Battle SEO® Launches Multi-Location SEO Expansion to Help Franchises Dominate Regional Search Results

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Battle SEO® Launches Multi-Location SEO Expansion to Help Franchises Dominate Regional Search Results

Battle SEO® has announced the launch of a multi-location SEO expansion designed to help franchise brands and multi-site businesses strengthen visibility across regional search results. Through this expansion, a clearer path is being provided for organizations that have struggled with inconsistent rankings across cities, duplicated location pages, and brand messaging that gets diluted from one market to the next.

A growing share of franchise discovery has been happening through “near me” queries, map results, and location-based searches where local competitors often appear ahead of national brands. With that shift, multi-location performance has increasingly been shaped by hundreds of small local signals rather than one national campaign. To address this, Battle SEO’s expanded approach has been built around location-specific strategy that is kept aligned with brand standards while being tailored for each service area.

Under the expansion, structured location frameworks have been developed to support scalable page builds, market-by-market keyword targeting, and stronger internal linking between service, city, and brand-level content. Technical foundations are being prioritized so that search engines can understand each location clearly, while duplicate content and cannibalization issues are reduced. Local listings consistency, review strategy support, and on-page relevance improvements are being incorporated so that map visibility and organic rankings can be reinforced together.

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Reporting has been adjusted to reflect how franchise decisions are made in the real world. Rather than being presented as one blended national view, performance is being tracked by the market so that growth opportunities, weak regions, and competitive threats can be identified faster. This market-level visibility is intended to support franchisors, marketing teams, and operators who need clearer accountability and measurable progress tied to local outcomes.

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A structured approach has been put in place so local growth can be scaled without losing brand control, while search performance is strengthened across every location.

This multi-location SEO expansion is being positioned for franchisors, multi-location service providers, and regional brands seeking stronger visibility in the cities where revenue is actually earned. Additional details have been made available through Battle SEO upon request.

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Beyond Amazon: The Explosion of Retail Media Networks (RMNs) for B2B

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Beyond Amazon: The Explosion of Retail Media Networks (RMNs) for B2B

You have likely watched Amazon dominate the advertising landscape, but a massive shift is occurring in the business world. Retailers are transforming into media powerhouses, and this change offers you new ways to reach professional buyers. Retail Media Networks are quickly becoming an essential part of the B2B marketing mix.

What Defines a Modern RMN?

Retailers are realizing their websites are valuable real estate for advertisers seeking high-intent audiences. They are turning their online stores into publishing platforms to monetize their traffic. You are no longer viewing them as simple merchants selling goods. They are now media owners selling access to their specific customer base. This shift transforms a cost center into a high-margin profit engine for the retailer.

For the buyer, this means seeing relevant ads right when they are ready to purchase. Retail Media Networks provide a direct line to customers who are already in a buying mindset. You get premium placement on digital shelves where decisions happen. This proximity to the point of sale makes these networks incredibly powerful for conversion.

Which B2B Players Are Entering the Game?

You might be surprised to see which major B2B players are building their own Retail Media Networks right now.

  • Staples:

Capitalizes on office supply purchase history to help software vendors target small business owners effectively.

  • Uber for Business:

Uses rider travel patterns to help corporate service providers reach executives during their commute.

  • Marriott:

Leverages vast booking data to allow luxury B2B brands to target business travelers during stays.

  • Chase Media:

Utilizes transaction data to assist financial service providers in reaching businesses with specific spending habits.

Why Does Purchase Data Beat Intent Signals?

Most marketing relies on guessing what a buyer wants based on vague search history or website visits. Actual purchase data removes this guesswork entirely. You know exactly what a company bought, how much they spent, and when they are likely to order again. This historical accuracy provides a stronger foundation for your campaigns.

This precision is why Retail Media Networks are growing so rapidly in the B2B sector. You stop wasting budget on people who are merely browsing or researching. Instead, you focus your resources on accounts that have a proven track record of spending money in your category. It changes the game from prediction to factual targeting.

How Can You Target Buyers Off-Site?

You are not limited to showing ads only on the retailer’s website, as these networks extend their reach elsewhere.

  • Use retailer data to find your specific buyers on news sites or social media platforms.
  • Retarget users who abandoned their carts on the retailer site while they browse the open web.
  • Build lookalike audiences based on high-value business accounts to expand your total addressable market reach.
  • Serve video ads on connected TV platforms by matching email addresses from the retailer’s database.

What Technical Hurdles Will You Face?

The market is currently fragmented, which makes managing campaigns across multiple platforms difficult for your team. Each retailer operates its own “walled garden” with different metrics and reporting standards. You cannot easily compare performance between two different networks without manual work. This lack of standardization creates a heavy operational burden for your marketing operations team.

You have to log into separate dashboards to manage creative assets and track results. Retail Media Networks need better integration tools to help marketers scale their efforts without adding headcount. You must be prepared to handle disparate data sources until the industry agrees on common standards.

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How Should You Launch a Pilot Strategy?

You should approach this channel cautiously in Q4 by following a structured testing plan to validate results early.

  • Select Niche Partners:

Identify one retailer that aligns perfectly with your ideal customer profile rather than going broad.

  • Allocate Experimental Budget:

Set aside a specific “test and learn” fund separate from your main programmatic advertising spend.

  • Focus on Sponsored Products:

Start with simple native ad formats that appear directly in search results for immediate impact.

  • Request Transparent Reporting:

Insist on getting granular data on which specific SKUs or categories drove the most engagement.

Can You Accurately Measure Your ROAS?

Measuring success in this channel is often clearer than in traditional display advertising. You can link ad exposure directly to a transaction that happens on the same platform. This “closed-loop” attribution gives you a definitive view of your Return on Ad Spend. It allows you to defend your budget with hard numbers.

However, you must be careful about attribution windows. Retail Media Networks often claim credit for sales that might have happened anyway. You need to scrutinize the data to ensure your ads are driving incremental lift rather than just subsidizing existing demand. Always validate the numbers against your own internal sales data.

Final Remarks

The explosion of Retail Media Networks offers a fresh opportunity to reach business buyers with absolute precision. You can move beyond generic targeting and start leveraging real transaction data to drive growth. It is time to treat the point of sale as your most powerful media channel.

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Freeduhm.com Partnered With AdPlunge To Boost Both Brands Digital Advertising Business

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Freeduhm.com Partnered With AdPlunge To Boost Both Brands Digital Advertising Business

The Freeduhm.com and AdPlunge alliance strengthens programmatic capabilities and unlocks scalable revenue growth for publisher partners worldwide.

Freeduhm.com, a global digital tech media and advertising company, announced a strategic business partnership with AdPlunge.com, a digital advertising network serving publishers across multiple verticals. The partnership is designed to accelerate growth for both organizations while delivering greater value, transparency, and revenue opportunities to publishers and advertising partners. Through this alliance, Freeduhm and AdPlunge will integrate their complementary capabilities to expand reach, improve inventory utilization, and strengthen programmatic execution across desktop, mobile, and emerging digital channels. By aligning Freeduhm’s data-driven optimization platform with AdPlunge’s established publisher relationships, the two companies aim to create a more efficient, scalable, and results-oriented advertising ecosystem.

“We are pleased to announce this strategic partnership with AdPlunge,” said Errol Fullido for Freeduhm. “Our shared commitment to performance, publisher success, and long-term value creation makes this a natural fit. Together, we will be able to deliver smarter monetization strategies, stronger demand access, and measurable growth for our publisher partners.”

AdPlunge brings to the partnership a robust network of publishers and deep expertise in traffic acquisition, yield management, and sourcing advertiser demand. Freeduhm’s technology and analytics capabilities will enhance campaign optimization, improve fill rates, and drive higher effective CPMs across the combined inventory footprint.

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“AdPlunge has strategically partnered with Freeduhm to bring even more value and opportunities to our publishers and partners,” said Oratile Maimane from AdPlunge. “By working closely with Freeduhm, we can offer a more comprehensive monetization solution that balances revenue performance with user experience and long-term sustainability.”

The partnership will focus on several key initiatives, including advanced demand aggregation, real-time performance optimization, enhanced reporting and transparency, and the development of new revenue streams for premium and long-tail publishers alike. Both companies will also collaborate on go-to-market strategies to expand their presence across key verticals, including news, lifestyle, finance, and technology. As the digital advertising industry continues to evolve, Freeduhm and AdPlunge believe this partnership positions both organizations to serve better publishers navigating increased competition, evolving privacy regulations, and changing consumer behavior.

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“Our goal is to help publishers grow with confidence in a complex market,” Errol Fullido added. “This partnership with AdPlunge strengthens our ability to do exactly that by combining scale, technology, and expertise to deliver consistent, high-quality outcomes.” The partnership is effective immediately, with joint solutions rolling out to select publisher partners in the coming weeks.

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Wildix Positions AI as the Catalyst Moving the UC&C Channel Beyond Resale at 2026 Summit

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Wildix Positions AI as the Catalyst Moving the UC&C Channel Beyond Resale at 2026 Summit

Wildix Logo

Summit highlights AI-driven execution, partner leadership and platform evolution across its unified UC&C platform

Wildix, a leader in AI-powered Unified Communications solutions, yesterday concluded its annual virtual UC&C Summit, convening partners and industry stakeholders worldwide to highlight how partner-led execution and live deployments are reshaping the role of UC&C platforms.

As economic pressure increases and service expectations rise, organizations are reassessing communications as an operational system expected to deliver reliability, visibility and accountability at scale.

Against this backdrop, Wildix outlined the continued evolution of its 100 percent channel-only model. The company emphasized that partner differentiation is moving beyond transactional resale toward an advisory role focused on the design, governance and optimization of communication workflows that support day-to-day operations.

“The UC&C market has matured. Customers are no longer evaluating platforms in isolation; they are looking for partners who can translate communication into operational value,” said Emiliano Tomasoni, CMO, Wildix. “To prove our commitment to enabling this shift, we’ve launched the Wildix Spokesperson Program, giving the channel a real voice by selecting one partner to be our global ambassador for a year and truly placing them at the center of our story.”

Building on the agentic AI strategy outlined at last year’s Summit and the subsequent launch of Wilma AI, the AI layer embedded across Wildix’s ecosystem, this year’s program focused on execution. Wildix highlighted how embedded automation and AI-driven assistance are now being deployed in live customer environments, governed through partner-led frameworks, and integrated into everyday voice, messaging and meeting workflows.

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“Wildix has demonstrated incredible technological vision and agility, making it seamless to integrate complex AI into real-world business environments,” said Carlos Estrela, CEO, Leader Redes y Comunicaciones. “My message to other partners is clear: embrace generative and agentic AI, especially for voice. That is no longer just an innovation; it’s the true differentiator in market.”

Wildix positioned this moment as an inflection point for the channel. As AI-native vendors and point solutions proliferate, long-term relevance increasingly depends on delivering measurable outcomes, not tools. Industry forecasts suggest that more than 80 percent of unified communications sales will be indirect by 2026, reinforcing the growing importance of partner-led delivery (source: Omdia).

As part of its broader partner program, Wildix shared first-year results from Sales Academy, a sales methodology introduced in response to increasingly complex UC&C buying behavior. Designed to put the channel first and meet partners where they are, the program applies structured sales frameworks through live opportunities rather than standalone training. In its first year, participating partners generated more than $40,000 in new monthly recurring revenue and recorded 23 percent year-over-year growth. The program has since been recognized by UC through the UC Awards for partner enablement.

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The Summit also highlighted concrete examples of partner-led execution across healthcare, professional services and retail. Among them was RoboReception, a joint AI‑embedded healthcare solution co-developed by RoboReception and Wildix and delivered through U.K.-based MSP Focus Group. Originally created by a dentist to address front-desk bottlenecks and missed calls, the solution automates inbound patient interactions and reduces administrative workload. Wildix reported that RoboReception generated more than $9 million in measurable return on investment within its first six months across 65 U.K. dental clinics, while maintaining service levels without additional headcount.

Looking ahead, Wildix positioned 2026 as a year defined by execution and operational depth. Wildix outlined continued investment in AI-driven coaching and insight, tighter governance across voice, messaging and mobile environments, and greater partner control through capabilities such as fixed-mobile convergence and emerging messaging standards. Together, these priorities reflect a broader view of unified communications as an operational system rather than a standalone platform, enabling partners to meet customers where they are and progressively embed intelligence, accountability and measurable outcomes into everyday workflows.

“As customer expectations rise, AI is the opportunity for our partners to deliver value and stay relevant,” said Steve Osler, CEO, Wildix. “We provide the full AI stack to turn the channels they control into intelligence, making them indispensable architects of customer growth.”

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Doceree Sets the Global Standard for Healthcare Marketing

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Doceree Sets the Global Standard for Healthcare Marketing

Brand Policies for Pharma Advertising & Marketing Company | Doceree

Two AI-powered solutions redefine how 2,000+ specialist medical publishers and healthcare advertisers connect

Doceree, the AI-powered Operating System for healthcare marketing, announced a defining industry milestone: the creation of the world’s largest network of specialist medical publishers, connecting more than 2,000 premium medical, clinical, and professional publishing platforms with endemic healthcare advertisers through its healthcare-native AI platform suite.
This global network includes some of the most trusted medical publishing brands in the world and represents a fundamental shift in how healthcare media is monetized, measured, and scaled—away from generic ad technology and towards AI-first infrastructure built exclusively for regulated clinical environments.
A Structural Shift in Healthcare Media

Doceree’s publisher network milestone is powered by the launch of two breakthrough AI-driven solutions introduced in 2025:
  • AdManager — the industry’s first unified ad management and monetization platform built exclusively for healthcare publishers
  • Premium Programmatic — a programmatic advertising solution powered by patented MeSH Taxonomy, designed to engage physicians at their most critical reading and learning moments
Together, these solutions redefine how publishers unlock demand and how pharmaceutical and life sciences brands reach healthcare professionals—with precision, compliance, and contextual relevance.
As healthcare publishers increasingly outgrew broad-market ad platforms (that were never intended for regulated clinical ecosystems), Doceree’s purpose-built approach saw rapid adoption across the world’s most trusted medical publishers.
“Partnering with Doceree has been transformative for our global strategy,” said Andy May, Global Head of Promotions – Clinical, Springer Nature.  “We’ve strengthened our footprint and seen a clear uplift in yield from endemic advertisers—without compromising trust or experience.”
Why Pharma Brands Are Shifting Programmatic Spend to Doceree
What differentiates Doceree’s network is not scale alone—it is the healthcare-specific intelligence embedded into every placement. Doceree delivers three advantages traditional programmatic platforms cannot match:
More Reach — Verified, Not Aggregated
  • 2,000+ directly integrated specialist medical platforms
  • 6M+ verified healthcare professionals across 45+ specialties
  • Direct publisher relationships—no resold or blind inventory
More Context — Precision Built for Medicine
  • Patented MeSH taxonomy of 7M+ clinical keywords
  • Real-time contextual targeting aligned with medical content
  • Deterministic NPI-based identity matching, enhanced with specialty and device-level intelligence
More Formats — Designed for How Physicians Learn
  • Sponsored scientific content, clinical case studies, and CME partnerships
  • Programmatically delivered branded articles within trusted environments
  • Integration with RepTwin, Doceree’s AI-powered virtual representative available to physicians 24×7
The result is healthcare marketing that feels useful, credible, and clinically relevant, transforming advertising into meaningful medical dialogue.
“Healthcare marketing has outgrown generic programmatic models,” said Harshit Jain, MD, Founder & Global CEO, Doceree. “What we’ve built with this publisher network is not just scale, but infrastructure—designed specifically for regulated, clinical environments. By connecting trusted medical publishers directly with endemic healthcare demand, we’re setting a new global standard for how meaningful, compliant, and accountable HCP engagement should work.”
 
A Purpose-Built Playground for Healthcare Publishers

For publishers, the shift to healthcare-native technology unlocked capabilities that generic ad platforms could never deliver—especially the ability to activate highly targeted, physician-only campaigns without compromising editorial integrity or user experience.
“AdManager allowed us to activate precision physician campaigns while protecting the reader experience,” said Sarah Mayes, Director of Advertising, Taylor & Francis. “Every impression carried intent and value.”
 
Unlike broad-market ad technology that treats healthcare as an edge case, AdManager and Premium Programmatic were engineered from the ground up for healthcare publishing realities.
“A dedicated healthcare ad manager was long overdue—and Doceree delivered,” said Nicola Harris, Agency Account Director, Cogora.
A Clear Industry Signal

For publishers, Doceree delivers access to the deepest pool of endemic healthcare demand, higher CPMs, automated compliance monitoring, intelligent inventory management, and streamlined operations—all through a single healthcare-native platform.
“Healthcare publishers have outgrown generic ad platforms,” said Vijay Adapala, EVP – Global Supply Partnerships, Doceree. “The growth of our publisher network confirms a clear industry shift toward solutions that prioritize relevance, compliance, and sustainable revenue.”
 
With continued investment in AI, infrastructure, and global partnerships, Doceree plans multiple enhancements to AdManager and Premium Programmatic in 2026—further cementing its leadership in healthcare programmatic marketing.
Doceree is the AI-powered operating system for healthcare marketing. We believe the role of AI is to bring richer context to every HCP interaction. Our patented AI understands multiple layers of clinical, behavioral, and contextual signals to enhance every HCP interaction in a privacy-compliant manner, delivering measurably better outcomes every time. In just five years, we have emerged as leaders in AI-powered, hyper-personalized healthcare messaging—redefining HCP engagement with more powerful context and more powerful outcomes.

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Alorica Named Innovative Organization Winner in the 2026 BIG Innovation Awards

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Business Wire
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Alorica Named Innovative Organization Winner in the 2026 BIG Innovation Awards

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Alorica Inc., a global leader in digitally-powered customer experiences (CX), has been named an Innovative Organization winner in the 2026 BIG Innovation Awards, a global recognition program honoring companies that deliver applied innovation with measurable, real-world impact.

The award recognizes Alorica’s ability to scale artificial intelligence across enterprise CX operations through Alorica IQ, the company’s digital innovation practice, and its award-winning conversational AI platform, evoAI. Together, they form a platform-driven approach—rooted in Alorica’s human-in-command design philosophy—that enables intelligent automation while strengthening both customer and agent experiences.

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“This recognition validates our belief that innovation truly matters when it delivers real business outcomes,” said Max Schwendner, Co‑CEO of Alorica. “Through Alorica IQ and evoAI, we help brands convert AI investment into significant operational value—where human expertise and intelligent automation work together to build trust, efficiency, and long-term growth.”

Alorica IQ serves as the company’s innovation engine, blending platform engineering, frontline agent insight, and scalable deployment to turn applied AI into repeatable, measurable impact across the organization and for its clients worldwide. At the center of this model is evoAI, an enterprise-grade conversational AI platform that integrates seamlessly into existing technology ecosystems. Supporting more than 100 languages and dialects, evoAI delivers emotionally intelligent, context-aware interactions across voice and digital channels. Built in partnership with frontline CX agents, the platform enhances workflows rather than disrupting them to improve adoption, agent confidence, and performance.

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Across multiple deployments, evoAI has demonstrated the ability to automate up to 50% of customer interactions, reduce average handle time by 40%, and deliver quantifiable improvements in CSAT, engagement, and conversion across industries including telecom, retail, healthcare, and financial services.

“Innovation has always been part of Alorica’s DNA, but we specifically focus our efforts on technology that drives scalable growth for both Alorica and our clients,” said Mike Clifton, Co‑CEO of Alorica. “Our teams continue to push CX forward with solutions that are trusted, secure, and enterprise‑ready to help brands modernize their operations and create more meaningful, efficient interactions with their customers.”

This recognition adds to Alorica’s growing portfolio of industry accolades. evoAI, now a seven-time award winner, previously received the Bronze Stevie® for Technology Excellence, a Gold Globee® Disruptor Award, AI Breakthrough Award for Conversational AI Innovation, CUSTOMER Product of the Year Award by TMC, a We Love Tech Award for Customer Experience and the AI Excellence Award for Outstanding Organization from BIG.

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ClickHouse Raises $400M Series D Led by Dragoneer to Accelerate Expansion Across Analytics and AI Infrastructure

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ClickHouse Raises $400M Series D Led by Dragoneer to Accelerate Expansion Across Analytics and AI Infrastructure

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Company acquires Langfuse to enter LLM observability and introduces a native Postgres service to unify transactional and analytical workloads

ClickHouse, a leader in real-time analytics, data warehousing, observability, and AI/ML, announced the close of its Series D financing, raising $400 million. The round was led by Dragoneer Investment Group, with participation from Bessemer Venture Partners, GIC, Index Ventures, Khosla Ventures, Lightspeed Venture Partners, accounts advised by T. Rowe Price Associates, Inc., and WCM Investment Management.

The financing follows a period of sustained, accelerating growth for ClickHouse. The company now serves more than 3,000 customers on its fully managed service, ClickHouse Cloud, with ARR growing more than 250 percent year over year. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base that includes AI innovators and major brands like Meta, Cursor, Sony, and Tesla.

“ClickHouse was built to deliver exceptional performance and cost efficiency for the most demanding data workloads, and this momentum validates that strategy,” said Aaron Katz, CEO of ClickHouse. “As we look toward the future, we are adding support for unified transactional and analytical workloads, so developers can build any type of applications powered by AI on the best technical foundation. And we are expanding our offering to include LLM observability, so AI application builders can evaluate the quality and behavior of AI outputs as they move into production. Additional funding, combined with continued product execution, positions us to deliver the leading data and LLM observability platform in the AI era.”

A High-Conviction Investment in Data Infrastructure and AI at Scale

Founded by Marc Stad in 2012, Dragoneer takes a highly selective, research-driven approach and seeks long-term partnerships with a small number of category-defining companies. The firm has invested in several of the leading data platforms of the past decade, as well as foundational AI companies.

As AI systems move from experimentation into production, the demands placed on underlying data infrastructure are increasing. AI-driven applications generate significantly higher query volumes, operate with tighter latency requirements, and require continuous evaluation and observability. In this environment, value increasingly accrues to infrastructure platforms that power large-scale, data-intensive production workloads.

“Major platform shifts ultimately reward the infrastructure companies that sit closest to production,” said Christian Jensen, Partner at Dragoneer Investment Group. “As models become more capable, the bottleneck moves to data infrastructure. ClickHouse stood out because it delivers the performance, efficiency, and reliability required for AI systems operating at scale.”

Dragoneer’s investment followed a rigorous evaluation that revealed the platform to be a category-defining leader in the modern data stack. ClickHouse supports a broad range of mission-critical, real-time workloads embedded in always-on, customer-facing, and AI-driven systems.

ClickHouse’s growth has also been driven by its ability to enable net-new workloads rather than simply replacing existing systems. By making real-time analytics cost-effective at scale, the platform supports use cases that were previously impractical due to latency or cost constraints. Unlike many data infrastructure platforms that primarily serve internal analytics teams, ClickHouse is frequently embedded in customer-facing products, where performance and reliability directly impact end-user experience.

“We look for platforms that customers rely on when systems cannot go down, and ClickHouse consistently demonstrated those characteristics,” Jensen added.

LLM Observability: ClickHouse Enters the Market with Langfuse Acquisition

ClickHouse is thrilled to announce the acquisition of Langfuse, the open-source LLM observability platform. Unlike traditional observability, which focuses on system health and performance metrics, LLM observability focuses on ensuring that non-deterministic and increasingly complex AI systems produce outputs that are accurate, safe, and aligned with user intent. As AI systems become increasingly embedded in production workflows, LLM observability has emerged as a critical requirement for teams building and operating AI-powered applications.

The Langfuse open source project has seen rapid adoption, ending 2025 at over 20K GitHub stars and more than 26M+ SDK installs per month.

“We built Langfuse on ClickHouse because LLM observability and evaluation is fundamentally a data problem,” said Marc Klingen, CEO of Langfuse. “Now, as one team, we can deliver a tighter end-to-end product: faster ingestion, deeper evaluation, and a shorter path from a production issue to a measurable improvement.”

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Native Postgres Service: ClickHouse Announces a Unified Data Stack for AI Builders

ClickHouse is excited to announce an enterprise-grade Postgres service deeply integrated with ClickHouse. To power modern, real-time AI applications that require both transactional and analytical capabilities, ClickHouse is delivering a unified data stack that includes high-performance, scalable Postgres backed by NVMe storage and with native CDC capabilities. In just a few clicks, users can sync transactional data to ClickHouse, unlocking up to 100X faster analytics. With a unified query layer powered by a native Postgres extension, users can build applications that seamlessly span transactions and analytics without managing separate systems. The service is built in partnership with Ubicloud, an open-source cloud company delivering high-performance Postgres, led by a team with a strong track record at Citus Data, Heroku, and Microsoft.

“Postgres and ClickHouse complement each other naturally, and are key for AI applications. Together, we’re delivering an integrated stack that removes complexity for teams, with production-grade Postgres for transactions and ClickHouse for analytics working as one,” said Umur Cubukcu, Co-CEO, Co-Founder, Ubicloud. “We’re excited to join forces with ClickHouse at Ubicloud because this is how the open-source ecosystem wins: trusted teams building best-in-class products that work and grow together.”

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Continued Global Expansion and Product Momentum

In parallel with its financing and acquisition of Langfuse, ClickHouse continues to expand its global footprint and ecosystem. In the past year, the company has entered the Japanese market through a partnership with Japan Cloud and has announced a partnership with Microsoft Azure focused on OneLake. ClickHouse has also held user events in San Francisco, New York, Amsterdam, Sydney, and Bangalore, attracting over 1000 attendees and featuring speakers from companies like OpenAI, Tesla, Capital One, Ramp, and Canva, and hosted the AWS re:Invent Chainsmokers customer event for the second consecutive year.

Recent product advancements further strengthen ClickHouse’s position at the intersection of analytics, AI, and observability. The company has made significant investments in data lake support, adding compatibility with Apache Iceberg, Delta Lake, and the most widely used data catalogs. The company has also expanded full-text search capabilities, which are increasingly critical for observability use cases, including AI observability. Finally, lightweight updates have been introduced to support more demanding AI-driven applications. The platform continues to deliver industry leading price-performance, exceeding leading cloud data warehouses according to recent benchmarks.

With the Series D financing, the acquisition of Langfuse, and introduction of a native Postgres offering, ClickHouse is positioned to accelerate growth and further expand its role as a unified data platform and AI observability.

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