Liminal Launches Agentic Intelligence for Strategy and GTM Teams

March 11, 2026

Over 100 CEOs convene in Palm Springs as Liminal introduces Team Spaces, Insights Agent, Target Account Lists, and Coach AI

Liminal, the actionable intelligence company, unveiled four major product releases at its annual CEO Summit, the company’s flagship event bringing together more than 100 CEOs and senior leaders from across identity, fraud, and cybersecurity. Andrew Bowden, Liminal’s Chief Product and Technology Officer, introduced Coach AI, Insights Agent, Target Account Matching, and Team Spaces, capabilities that extend the company’s verified intelligence platform from strategic analysis into collaborative workflows, agentic insight generation, precision account targeting, and real-time sales coaching.

The announcements arrive as enterprises confront a widening gap between AI adoption and results. Recent research from McKinsey shows that 88% of organizations use AI in at least one business function, yet fewer than 7% have scaled it enterprise-wide, with more than 80% reporting no tangible ROI from generative AI. The barrier is not model quality; it is data quality and domain grounding. Enterprises making high-stakes decisions on unverified, AI-generated intelligence are discovering the cost: failed product bets, lost competitive deals, and automated workflows that compound errors at machine speed.

The Liminal CEO Summit, held March 9–11 in Palm Springs and hosted by Liminal President Jennie Berry, featured keynotes from Ed Elson, Co-Host of the Prof G Markets Podcast, Joseph Cox, Co-Founder of 404 Media, and Liminal CEO Travis Jarae. The event convened more than 100 decision-makers from the world’s leading platforms in digital identity, fraud prevention, and cybersecurity for closed-door working sessions on competitive strategy, market dynamics, and the role of verified intelligence in an era of AI-driven decision-making.

“Your AI is confident. It’s also wrong. We work with teams that committed millions in engineering and marketing resources on features validated by the very best internal teams armed with ChatGPT and analyst reports, yet over 35% of that spend was wasted on features that failed to meet demand,” said Travis Jarae, CEO of Liminal. “The era of making high-stakes decisions on unverified intelligence is over. What Andrew showed today is what comes next: a verified intelligence layer where strategy and execution operate on the same source of truth, in real time, through a single system. That is the future of enterprise AI, and we intend to own it.”

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Four Releases, One Verified Graph

All four releases run on the Living Graph, Liminal’s proprietary knowledge architecture mapping 2.5 million verified entities across the identity, fraud, and cybersecurity markets, with every insight validated by the Analyst Desk before it reaches customers.

Coach AI brings verified competitive intelligence into live sales conversations. When a prospect raises a competitor or objection during a call, Coach AI surfaces the specific counter-argument at the moment it is needed, personalized to the account, deal stage, and competitor mentioned. The coaching is grounded in the Living Graph, not scraped web data, giving reps access to intelligence no competitor can replicate.

Insights Agent introduces an agentic layer that automatically correlates related market events to surface patterns, momentum, and competitive dynamics. Rather than presenting raw signal feeds, the Insights Agent elevates isolated events into contextual insights that explain why something matters, not just what happened. Insights flow downstream into Campaigns, Game Plans, and competitive workflows across GTM.

Target Account Lists matches the right accounts to a company’s Game Plan, market position, and Campaign objectives. Rather than starting from static lists or generic firmographic filters, Target Account Lists uses the Living Graph to identify which accounts align with a team’s specific competitive positioning, buyer demand signals, and strategic priorities, then lets revenue teams launch campaigns directly from their selections. Composite and intent scoring give teams a clear, explainable view of why each account matters now, completing the end-to-end workflow from Game Plan to pipeline.

Team Spaces transforms Command from an individual research tool into a collaborative intelligence environment. Teams can build shared, persistent workspaces with role-based permissions, real-time activity feeds, inline commenting, and a built-in AI Copilot that answers natural-language queries across everything in a Space with synthesized answers and citations. Strategic intelligence becomes searchable, AI-queryable, and shared across the organization rather than scattered across email, Slack, and static documents.

Verified Vertical AI vs. the Status Quo

The four releases reflect Liminal’s thesis that the next generation of enterprise AI will be defined not by which model a company uses, but by the quality and structure of the domain-specific context it feeds those models. Generic AI tools synthesize the open internet and generate answers that sound authoritative but lack verification. Analyst reports deliver category-level perspective but are static by the time they publish. Point solutions handle fragments of the workflow but leave teams toggling between insight and action.

Liminal’s approach, grounded context engineering, is purpose-built for a different outcome: every inference is grounded in verified relationships within the Living Graph, not statistical probability. The Analyst Desk, a team of domain experts recruited from identity, fraud, and cybersecurity, validates signals through primary research, buyer demand surveys, and direct executive interviews. 100% of intelligence is verified by human domain experts before delivery.

“AI is a force multiplier, and force multipliers don’t care what you feed them,” said Andrew Bowden, Chief Product and Technology Officer at Liminal. “Feed them unverified data and you get garbage at higher velocity. These four releases are what it looks like when you build the other way: verified intelligence that compounds, shared across teams, with the ability to go from a market signal to a sales conversation in hours instead of months.”

“The reason this platform works is the taxonomy,” said Jennie Berry, President of Liminal. “Anyone can build a dashboard on top of scraped data. What you cannot shortcut is three years of mapping how 2.5 million entities actually relate to each other, verified through buyer surveys, executive interviews, and primary research conducted by analysts who have been the buyer, the operator, the expert. That ontology is what makes every product we ship, from Team Spaces to Coach AI, structurally more accurate than anything else in the market. The data and taxonomy compound. That is the moat.”

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Customer Impact

Liminal customers report 9x faster strategic decisions, 30% higher competitive win rates, and a 70% reduction in manual research time. Revenue teams using GTM generate 30% more pipeline per rep and reach first qualified meetings in seven days, down from eight weeks.

“In identity, being wrong isn’t an embarrassing email. It’s a failed product bet or a lost enterprise deal,” said Pat Kinsel, CEO of Proof. “We evaluated every intelligence option on the market, and the difference with Liminal was immediate. The data is structurally deeper because the taxonomy reflects how this industry actually works, not how it looks from the outside. Our team went from spending hours piecing together competitive context to having verified, use-case-level intelligence ready before every conversation. That changes how you compete.”

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Appier Research Unveils Agentic AI Breakthrough: A Risk-Aware Decision Framework

PRNewswire

March 11, 2026

Appier Research Unveils Agentic AI Breakthrough: A Risk-Aware Decision Framework

Quantifying LLM Reliability Across Risk Scenarios for Trustworthy Enterprise AI

Appier announced new research advancing the reliability of Agentic AI systems. To expand the impact of its research and development efforts, Appier’s AI research team continues to focus on frontier topics in Agentic AI and Large Language Models (LLMs), exploring forward-looking technical challenges that push the boundaries of marketing technology innovation.

In its latest paper, “Answer, Refuse, or Guess? Investigating Risk-Aware Decision Making in Language Models,” the team introduces a systematic evaluation framework to measure how language models make decisions under different risk conditions. The approach significantly improves model reliability in high-risk scenarios through a novel methodological design.

The research addresses a key challenge in deploying Agentic AI in enterprise environments: ensuring that autonomous AI decisions are trustworthy. The findings further strengthen Appier’s technological leadership in AI while contributing practical insights for the broader Agentic AI ecosystem.

As enterprises move from AI copilots toward autonomous AI agents, reliability has become a critical barrier to adoption. According to a 2025 McKinsey survey, 62% of organizations have already begun experimenting with AI agents, yet inaccuracy remains the most commonly cited risk in enterprise AI adoption.

As an AI-native Agentic AI-as-a-Service (AaaS) company, Appier continues to translate cutting-edge research into enterprise-ready methodologies and product capabilities. This study specifically addresses two major enterprise concerns: AI hallucinations and decision reliability. To tackle this challenge, the research introduces a Risk-Aware Decision-Making framework that converts LLM decisions across varying risk conditions into quantifiable metrics, providing a stronger governance foundation for enterprise AI deployment.

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Turning Risk-Aware Strategies into Quantifiable Metrics
Traditional LLM evaluations focus primarily on whether an answer is correct. In enterprise environments, however, the cost of being wrong and the value of refusing to answer differ significantly. The study introduces structured risk parameters—including rewards for correct answers, penalties for incorrect responses, and costs for refusal—to simulate different risk scenarios. Under this framework, models must evaluate their capability, confidence level, and risk conditions before deciding whether to answer, refuse, or guess. Decision quality is then measured by whether the model maximizes expected reward, providing a more realistic assessment of strategic decision-making.

Key Finding: Strategic Imbalance in Existing Models
Using the Risk-Aware Decision-Making framework, the research finds that many leading LLMs display strategic imbalance across risk scenarios. In high-risk settings, models often over-guess despite potential negative consequences. In low-risk scenarios, they may become overly conservative and refuse to answer too frequently. This inconsistency limits both the autonomy and safety of AI systems in enterprise environments. The study suggests the issue is not purely knowledge-related but stems from the model’s difficulty in integrating multiple capabilities into a stable decision strategy.

Skill Decomposition Enables More Optimal Decisions
To address this challenge, the research proposes a Skill Decomposition approach, breaking decision-making into three steps:

Task Execution — solving the task to generate an initial answer
Confidence Estimation — evaluating confidence in that answer
Expected-Value Reasoning — reasoning about outcomes under risk conditions

This structured reasoning process enables models to determine whether answering or refusing yields the best outcome. The approach allows models to better integrate multiple capabilities and produce more rational and stable decisions in high-risk environments, offering a practical path toward more reliable enterprise AI systems.

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“For Agentic AI to operate in critical enterprise workflows, the key is not only making AI smarter, but making its autonomous decisions more reliable,” said Chih-Han Yu, CEO and Co-founder of Appier. “Appier has built its products around AI and continuously invested in world-class research. By turning LLM risk awareness into a quantifiable methodology, this research strengthens the foundation for trustworthy enterprise AI and helps accelerate the real-world adoption of Agentic AI and translate it into scalable business value and ROI.”

The research findings have been further integrated into Appier’s Agentic AI-powered platforms, including Ad Cloud, Personalization Cloud, and Data Cloud, helping enterprises advance autonomous workflows in a more reliable and trustworthy way.

Looking ahead, Appier will continue leveraging its strong AI research capabilities, proprietary data assets, and deep industry expertise to advance Agentic AI innovation and support enterprises in building more efficient and trustworthy AI-driven operations.

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Five9 Strengthens Open Platform Strategy with Evolution of Five9 Fusion

Business Wire

March 11, 2026

Five9 Strengthens Open Platform Strategy with Evolution of Five9 Fusion

New Five9 Fusion Partner Program brings together a growing ecosystem of product integrations and third-party technologies for the next-generation of connected and intelligent customer experiences

Five9 , provider of the Intelligent CX Platform, launched the evolution of Five9 Fusion, with a new partner program that brings together an evolving CX orchestration ecosystem that spans product integrations, independent software vendors (ISVs), and embedded technology partners. The Five9 Fusion partner program is designed to help organizations connect AI agents, data, and business systems to accelerate innovation and unlock greater value from their CX technology investments with Five9.

Many organizations struggle to deliver seamless customer experiences because their data, AI initiatives, and business systems remain disconnected. As enterprises increasingly turn to open platforms and partner ecosystems to overcome this fragmentation, Five9 is deepening its commitment to partners with expanded investment in the Five9 Fusion program. Building on the successful Five9 Fusion integrations launched in 2025 with Salesforce, ServiceNow, and Epic, the program now extends beyond product integrations to support a broader ecosystem of products, technologies, and partnerships across the entire customer experience lifecycle.

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“Enterprises are moving beyond isolated point solutions and looking for platforms that enable ecosystem-driven innovation,” said Sheila McGee-Smith, Principal Analyst, McGee-Smith Analytics. “Expanding Five9 Fusion to serve as a broader CX orchestration framework aligns with where the market is headed — toward open architectures that connect AI, partners, and enterprise systems into cohesive customer experience strategies.”

Key Benefits of Five9 Fusion:

Faster Time to Value: Provides a structured framework and integration roadmap that helps organizations more quickly connect with trusted partners and implement CX capabilities without complex custom development.
End-to-End CX Orchestration: Guides organizations in aligning workflows, data, and interactions across enterprise technologies and partner solutions to support more cohesive customer experiences.
Personalization at Enterprise Scale: Helps organizations leverage insights from across their technology ecosystem to deliver more consistent, context-rich engagement across customer touchpoints.
Continuous Optimization Across the CX Lifecycle: Delivers visualization and intelligence needed to refine performance, improve outcomes, and adapt to evolving customer expectations.
Future-Ready CX Foundation: Acts as the connective tissue of the modern CX stack, allowing organizations to evolve technology strategies over time.

“Our vision for Agentic CX depends on openness,” said Jim Hickey, Senior Vice President Product, Five9. “Five9 Fusion brings together AI, data, enterprise applications, and a growing partner ecosystem to help organizations build more intelligent and connected customer experiences. By enhancing our Intelligent CX Platform and expanding the Fusion program, we are enabling customers to accelerate AI adoption while continuing to innovate with the technologies and partners that best support their business.”

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Intelligent CX Platform Enhancements for Five9 Fusion:

Improvements to Five9 VoiceStream and TranscriptStream provide increased levels of interoperability, functionality, and openness.
New AI Agent Connect integration API to support voice AI Agents with third parties.
Deeper integration with Five9 OneVUE to consolidate visualization, reporting, and insights across the entire CX journey.

“Enterprises no longer want isolated CX solutions, they want flexibility, interoperability, and innovation that evolves alongside their business,” said Kim Hill, Senior Vice President Partners, Five9. “This new partner program represents our commitment to building better together. By expanding our open ecosystem, we enable customers and partners to innovate faster, deploy AI-driven experiences more efficiently, and deliver connected customer journeys without added complexity.”

The new Five9 Fusion Partner Program expands to include product integrations, ISVs, and embedded technology partners, creating new opportunities for collaboration, co-innovation, and joint go-to-market initiatives. This program represents a significant investment in the Five9 partner ecosystem, with enhanced enablement, shared innovation, and closer alignment to help customers accelerate their CX roadmaps. Together, these partnerships advance Five9’s Agentic CX vision by orchestrating people, AI agents, and enterprise workflows to deliver more adaptive, personalized, and scalable customer experiences.

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Hightouch Expands ANZ Presence with Appointment of Aidan Lynch as Country Manager

Business Wire

March 11, 2026

Hightouch Expands ANZ Presence with Appointment of Aidan Lynch as Country Manager

Hightouch, the leader in data and AI for marketing, announced the expansion of its Australian and New Zealand (ANZ) operations with the appointment of Aidan Lynch as Country Manager. The move reflects increased investment in the region following sustained organic growth and rising demand from APJ organisations modernising their marketing and data infrastructure.

Building on Regional Momentum

With Lynch’s appointment, Hightouch is strengthening its local presence to support organisations activating customer data across marketing, sales, and customer engagement use cases. The company’s expansion underscores the growing demand for agentic, warehouse-native, marketing technology that enable teams to move faster without replicating data or adding operational overhead.

Under Lynch’s leadership, Hightouch will deepen regional engagement, providing on-the-ground support to help enterprises activate governed data across their existing tech stacks.

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Advancing the Modern Data Stack

Hightouch enables organisations to unlock the full value of their existing data infrastructure by activating customer data directly from cloud data warehouses such as Snowflake, BigQuery, and Databricks. Its composable approach allows teams to delegate to agents, build audiences, orchestrate journeys, and automate workflows without duplicating data into separate systems.

“What attracted me to Hightouch was its founder-led culture and sustained pace of innovation,” said Aidan Lynch, Country Manager, ANZ. “The platform was built on a strong data foundation and has continued to evolve towards agentic marketing, embedding AI directly into governed marketing workflows. That approach resonates strongly with organisations looking to personalise at scale while maintaining control over their data.”

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Recognised as a Leader in the 2025 Gartner® Magic Quadrant™

The expansion of the ANZ team follows Hightouch’s recent recognition as a Leader in the 2025 Gartner® Magic Quadrant™ for Customer Data Platforms. For Hightouch, the recognition marks its first inclusion in the Magic Quadrant and reflects the continued evolution of the CDP market towards composable, warehouse-native architectures and AI-powered activation.

“This recognition reflects how modern marketing teams are operating,” Lynch added. “Organisations want to activate their complete data, move faster without replication, and use AI to continuously improve performance. We are seeing that shift accelerate across ANZ.”

Local Leadership, Global Platform

Lynch’s appointment strengthens Hightouch’s ability to combine global product innovation with local market expertise. As organisations across ANZ modernise their data infrastructure, Hightouch’s Agentic Marketing Platform enables teams to activate data across marketing, orchestration, and content workflows while maintaining governance and brand integrity.

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Press Ganey Forsta Named a Leader in the 2026 Gartner® Magic Quadrant™ for Voice of the Customer Platforms

Business Wire

March 11, 2026

HTAG Analytics Becomes First Australian Proptech to Launch MCP Integrations with Claude and Perplexity AI

Recognition marks the fourth consecutive time the company has been positioned as a Leader.

Press Ganey Forsta, a leader in experience measurement, data analytics, and insights, announced its recognition as a Leader in the 2026 Gartner® Magic Quadrant™ for Voice of the Customer (VoC) Platforms. This marks the company’s fourth consecutive time being named a Leader, highlighting the company’s continued position as a Leader and the strength of its Human Experience (HX) platform in supporting complex, regulated industries.

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Gartner evaluated vendors on Completeness of Vision and Ability to Execute.

“We are proud to be recognized as a Leader for the fourth consecutive time,” said Patrick T. Ryan, Chairman and CEO of Press Ganey Forsta. “Organizations operating in complex, regulated environments require scalable technology, deep industry expertise, and trusted support. We remain focused on helping large enterprises strengthen their Voice of the Customer programs with the infrastructure, compliance, and advisory capabilities they need to succeed.”

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Why the world’s leading organizations trust the HX Platform

Press Ganey Forsta offers leading products in healthcare, financial services, and insurance, with offerings in retail and business services. Its HX platform, combined with leading expertise and services, supports hundreds of thousands of simultaneous users and is designed to meet the needs of complex global enterprises. The platform accommodates sophisticated organizational structures, enabling users to operate across multiple roles and hierarchies.

“Our focus is on helping organizations operationalize feedback,” said Darren Dworkin, President and COO of Press Ganey Forsta. “By combining enterprise-grade infrastructure, regulatory expertise, and AI-powered insight generation, we are enabling clients to strengthen customer, employee, brand, market research, and patient experience programs in increasingly complex environments.”

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Jordan Digital Marketing Unveils AEO Kickstart Program, Powered by AI Trust Signals, to Give Brands an Edge in AI-Driven Search

Globe Newswire

March 10, 2026

Leading AEO Platform Launches Lead Referral Program for Marketing Agencies

Certified AITS Agency Partner brings diagnostic-driven AI search visibility strategy to growth-focused brands

Jordan Digital Marketing (JDM), an independent digital marketing agency specializing in elite account performance for high-growth B2B and B2C lead gen clients, announced the launch of its AEO Kickstart Program, a structured growth initiative designed to help brands increase visibility in AI-driven search environments. The program is powered by innovative technology partners including AI Trust Signals™ (AITS) and Profound, and coincides with JDM’s recognition as a certified agency partner of both AITS and Profound.

As AI systems increasingly shape how buyers discover and evaluate brands, traditional SEO tactics alone are no longer enough. JDM’s AEO (Answer Engine Optimization) and GEO (Generative Engine Optimization) approach provides brands with a measurable, data-backed strategy for becoming trusted, cited sources within AI-powered search results.

“AI search is fundamentally changing how buyers find and trust brands,” said Tyler Jordan, CEO of Jordan Digital Marketing. “Through our partnership with AI Trust Signals™, we’re giving clients a clear roadmap to be cited, referenced, and recommended with authority by AI search platforms to improve discovery and get in customers’ consideration sets.”

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Closing the AI Visibility Gap

As generative AI evolves and gains clout in the purchase journey, a new challenge has emerged: many credible companies are effectively invisible to AI systems not because they lack authority, but because that authority isn’t structured in ways machines can interpret and trust.

As a certified AI Trust Signals™ (AITS) partner, JDM applies a diagnostic-driven framework that evaluates brands across 19 technical, authority, and brand trust signals. The result is a clear benchmark score reflecting how AI systems are likely to perceive and rank a company, along with signal-level insights that pinpoint the specific gaps suppressing AI recommendation.

“We built AI Trust Signals to be the ‘start here’ button for AEO. We’re focused on what builds buyer trust for brands, and the increasing overlap of those same signals with AI recommendations,“ said Patrick Moorhead, Co-Founder and CEO, AITS. “JDM is showing true innovation and leadership with this Kickstart program, because it shows the industry that ‘visibility’ isn’t the goal; it is and always has been buyer trust. In a world where AI intermediates the buyer trust journey, nailing the Trust Signals that drive both is the path to growth. We’re thrilled to partner with JDM to power this offering.”

Using structured playbooks and a strategic execution layer, JDM’s AEO team translates those insights into a prioritized 90-day action plan, grounded in benchmark data from more than 3,500 company assessments. The approach shifts brands from reactive SEO tactics to proactive trust engineering, converting real-world expertise into machine-readable proof.

Through ongoing re-scoring and optimization, AI trust becomes a measurable performance metric, not a one-time initiative.

A Strategic Layer Above the Tech Stack

JDM integrates AITS insights with its broader AEO ecosystem, including Profound, and aligns technical infrastructure, content strategy, and authority signals into a unified AEO framework.

As AI transforms search into an “Answer Economy,” agencies that operationalize trust signals early will create a durable, structural advantage for their clients. JDM’s AEO Kickstart Program positions brands to lead in that shift, building durable visibility in systems that increasingly determine who gets cited, recommended, and remembered.

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Buildout Launches CRM, Completing the Industry’s First AI-Powered End-to-End Deal Engine for CRE

PRNewswire

March 10, 2026

Buildout Launches CRM, Completing the Industry's First AI-Powered End-to-End Deal Engine for CRE

Buildout Inc. announced the launch of Buildout CRM, marking the final step in delivering its vision of a fully unified, AI-powered workflow engine for commercial real estate brokerages.

With CRM now integrated into Buildout Suite, brokerages can manage the entire deal lifecycle within one shared system and one data layer. The launch represents a strategic shift for the company from offering a collection of CRE tools to delivering a true end-to-end operating platform.

Commercial real estate firms have long relied on disconnected software from marketing platforms, CRMs, proposal tools, spreadsheets, to transaction systems operating in silos. The result is duplicated work, manual handoffs, version control issues, and operational drag that compresses margins. While many vendors promote AI features, automation layered onto separate systems often adds complexity rather than eliminating it. Buildout takes a different approach by unifying the entire deal with one shared workflow. Data entered once flows across the lifecycle to whomever in the brokerage needs it next, and AI executes repeatable operational tasks reducing manual effort, improving accuracy, and accelerating time to market.

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“For years, brokerages have been stitching together tools and calling it a tech stack,” said Helen Calvin, CEO of Buildout. “What we kept hearing from customers is that the real pain isn’t a lack of software, it’s overlap and disconnect. Brokers and admins are acting as the glue between systems. We built our CRM to complete the workflow and remove that burden. This isn’t just another product release for us. It’s the moment where our platform truly runs from that first prospecting phone call to commission.”

Designed specifically for commercial real estate, Buildout Suite reflects the property-centric and collaborative nature of brokerage work. Each stakeholder from broker to marketer to finance leader operates from the same source of truth while maintaining role-specific visibility into the deal lifecycle. The result is greater operational ease and lower cost per deal.

As AI becomes a defining priority for brokerages in 2026, Buildout is positioning itself as the platform that prevents fragmentation rather than contributing to it. With the addition of CRM, Buildout Suite now delivers on its promise of an AI-powered deal engine built to help brokers focus on relationships and revenue while the system executes the workflow.

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IAB Tech Lab Announces CoMP Framework to Ensure LLMs Have Commercial Agreements with Publishers Before Content Crawling

PRNewswire

March 10, 2026

IAB Tech Lab Announces CoMP Framework to Ensure LLMs Have Commercial Agreements with Publishers Before Content Crawling

Content Monetization Protocol (CoMP) establishes a standardized approach for AI systems and content owners to enable commercial agreements, reduce risk, and support a sustainable global information supply chain; available for Public Comment Until April 9, 2026

IAB Tech Lab, the global digital advertising technical standard-setting body, announced the release of the CoMP (Content Monetization Protocol) Specification v1.0 for Public Comment, establishing a standardized framework that enables content owners and marketplaces to communicate with AI systems on their content offerings and ensure there are commercial terms in place before any crawling or content use occurs. The specification will be available for public comment until April 9, 2026, to gather industry feedback and support broad adoption.

“AI systems require chips, power, and information. Information is the only input in that equation that does not yet have a consistent commercial infrastructure around it,” said Anthony Katsur, CEO, IAB Tech Lab. “If we expect high-quality content to continue fueling AI-driven products, we need clear terms of engagement and a mechanism that supports compensation, accountability, and long-term sustainability. CoMP is designed to help the industry move in that direction.”

Publishers have experienced significant traffic declines in recent years, including reductions in search referral traffic exceeding 50 percent in some cases. The CoMP framework is intended to provide a foundation for a global information market that enables new revenue opportunities tied to AI usage, while supporting fair compensation for quality, timely content. At the same time, the framework is designed to mitigate risk for AI systems that depend on ongoing access to reliable, well-structured information.

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The CoMP framework is designed to work across direct licensing arrangements and third-party marketplaces, allowing Content Owners and AI systems to implement a single standardized protocol rather than building proprietary integrations for each platform. By establishing a consistent method for signaling permissions and commercial terms before content is accessed, CoMP reduces bespoke technical work, lowers operational overhead, and supports scalable adoption across the ecosystem.

CoMP is not a replacement for strong access controls. The framework assumes that content owners have established robust blocking strategies at the delivery point, such as their Edge Compute or Content Delivery Network (CDN). With that foundation in place, the protocol creates a standardized path from restrictions to a structured and mutually beneficial commercial market.

Industry participants are already expressing support for a standardized approach to content monetization in AI environments:

“At The Weather Company, we believe the future of the industry depends on human-centric, AI-driven innovation that prioritizes the end user,” said Julianne Jennings, senior director of content and product, The Weather Company. “Our collaboration with the IAB Tech Lab on the CoMP framework is a critical step in establishing a foundation for secured data collaboration that benefits the entire ecosystem. By creating a standardized path for commercial agreements, we ensure our high-fidelity weather data remains effortlessly accessible across activation channels—empowering buyers and driving performance outcomes while maintaining the trust and accuracy our users rely on every day.”

“We know the best AI products require the best inputs and the AI economy will need more quality content in the future, not less,” said Jon Roberts, Chief Innovation Officer, People Inc. “A global information economy needs global standards and we have been a supporter of the IAB CoMP initiative from the beginning. We support global standards that help all creators get paid fairly.”

“The first release of the CoMP API marks an important step toward establishing interoperable, transparent standards for fair value exchange in the AI ecosystem, recognizing that AI systems depend on high-quality, trusted content. As an early contributor, we believe scalable, robust compensation frameworks — alongside visibility and attribution for content usage — are essential to sustaining high-quality journalism and premium content in the AI era,” said Achim Schlosser, VP Global Data Standards, Bertelsmann.

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“Publishers should be compensated for the use of their intellectual property – and for the real investment required to produce quality content,” said Rob Beeler, of Beeler.Tech, a Publisher-focused Ad Ops community. “While much remains to be figured out about how LLMs will work with publishers, CoMP provides a necessary framework for those discussions, helping us move faster from theory to practice and better protect the future of publishing.”

“As AI systems and agents become the front door to information, they inherit the authority, credibility, and trust of the publishers and brands whose content they learn from and surface. CoMP creates a mechanism for that quality and trust to be valued in the AI supply chain,” added Jennifer Bas, Chief of Staff at Mobian.

The CoMP specification reflects significant collaboration from the CoMP Working Group and is intended to evolve through industry feedback during the public comment period. Input from publishers, marketplaces, technology providers, and AI developers will inform updates to the framework before finalization.

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Spearfish Launches First Contextual Intelligence Platform for Contact Centers to Transform Customer Service From Cost Center to Competitive Weapon

Business Wire

March 10, 2026

Spearfish Launches First Contextual Intelligence Platform for Contact Centers to Transform Customer Service From Cost Center to Competitive Weapon

Revolutionary Platform Leverages Behavioral Excellence from Top Performers and Deploys Company-Wide Intelligence from Day One

Spearfish, the pioneering AI-first contact center contextual intelligence platform, officially launched to address the $87 billion contact center market. Founded by veteran entrepreneurs Ray Bohac and Matt Madzia, Spearfish transforms how companies extract, analyze, and deploy customer service intelligence by turning their best agents’ winning behaviors into scalable competitive advantages.

Unlike traditional analytics that measure historical activity, Spearfish’s Contextual Intelligence Platform analyzes real customer conversations to identify the specific processes, patterns, and behaviors that drive business outcomes. The platform then automatically designs AI-first workflows that enable every agent (human or virtual AI agent) to perform at top-tier levels from day one.

“While our competitors are automating broken processes and waiting months for AI to learn, we’re reverse-engineering excellence from companies’ best performers and deploying that intelligence instantly,” said Ray Bohac, Co-Founder and CEO of Spearfish. “We don’t just promise transformation – we deliver measurable results that show up on the bottom line from day one.”

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Revolutionary Approach to Contact Center Intelligence

Spearfish addresses a critical gap in the market where companies invest heavily in contact center technology but fail to capture and scale their most valuable asset – the undocumented expertise of their top performers. The platform’s four-layer intelligence stack includes:

Conversation Intelligence: Real-time analysis across all customer interaction channels
Behavioral Analytics: Extraction of winning patterns from top-performing agents
Process Optimization: AI-first workflow design aligned with business objectives
Value Attribution: Direct connection between interactions and revenue outcomes

“Conversational data from customer interactions contains a wealth of intelligence that can drive positive outcomes not just for the contact center but the business at large. With 90% of companies already recognizing conversation data as the most valuable type of data available to them for driving business metrics, Metrigy has little doubt that the use of conversation analytics will explode this year. We’re only scratching the surface of what’s possible today,” said Robin Gareiss, CEO & Principal Analyst, at Metrigy, a leading CX research and advisory firm.

Early customers report immediate impact including 31% reduction in customer transfers, resulting in $180K in savings from a single use case.

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Proven Leadership Team

Co-founders Ray Bohac and Matt Madzia bring decades of contact center industry expertise, having previously founded CallCopy (acquired by NICE InContact) and MotionCX, a leading omnichannel contact center platform. Their combined experience includes building, operating, and optimizing contact centers for Fortune 500 companies across multiple industries.

“Most companies have no idea what’s actually happening in their customer conversations — they have what they think is happening, built on outdated metrics and sampled data,” said Matt Madzia, Co-Founder and CTO. “Spearfish gives them a single pane of glass into the real performance of both their human and AI agents, and more importantly, turns that into prescriptive intelligence — not just what happened, but what you should do next.”

Market Timing and Opportunity

The global contact center analytics market is projected to reach $4.2 billion by 2027, driven by increasing demand for AI-powered customer experience optimization. However, most solutions focus on efficiency metrics rather than business outcomes, leaving significant value on the table.

Spearfish’s approach addresses this gap by providing instant contextual intelligence instead of requiring months-long AI training periods, enabling companies to achieve competitive differentiation while their competitors struggle with traditional implementation timelines.

“In the BPO world, everyone claims quality. Spearfish lets us actually prove it—and continuously improve it. We can show clients exactly what’s happening in 100% of their customer conversations, surface the behaviors that drive their specific business outcomes, and scale those behaviors across our entire operation. It’s changed how we compete and how we deliver value,” said Jill Blankenship, CEO of Frontline Group.

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Actian Unveils Conversational Analytics Solution with Intelligently Generated Semantic Foundation for Trusted Insights

PRNewswire

March 10, 2026

Actian Unveils Conversational Analytics Solution with Intelligently Generated Semantic Foundation for Trusted Insights

Designed to provide enterprise-grade accuracy, Actian AI Analyst uses a Semantic Knowledge Graph to provide business context needed to address AI hallucinations

Actian, the data and AI division of HCLSoftware, introduced the Actian AI Analyst (formerly Wobby), a conversational analytics solution featuring the Steward Agent that intelligently generates and provides ongoing maintenance of the semantic layer to speed time to value and deliver trusted, auditable insights. By combining AI-driven analysis with deterministic semantics, Actian AI Analyst allows organizations to scale analytics access, reduce business intelligence bottlenecks, and act on insights with confidence.

Basic AI models generally claim high accuracy in simple tests, but applying them to complex enterprise data often triggers hallucinations and incorrect logic. In fact, Stanford HAI’s 2025 AI Index Report shows that some models’ performance can achieve 97.8% accuracy on simpler planning tasks, but accuracy plummets when reasoning complexity increases and can reach near zero for some models.¹ These errors are typically not auditable, creating a significant trust gap.

“Increasingly, enterprises are embedding AI into analytics workflows to accelerate insight generation and decision-making, but speed without trust is a liability,” said Guillaume Bodet, chief product officer at Actian. “Unlike error-prone text-to-SQL tools, the Actian AI Analyst is anchored in governed enterprise data and engineered for full traceability, allowing organizations to scale analytics access for business users without sacrificing accuracy or trust.”

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The Steward Agent: Intelligently Build the Data Foundation

The new Steward Agent accelerates AI deployment and replaces time-consuming manual work by intelligently building and maintaining a governed data foundation from existing warehouse schemas and business documentation.

Semantic Modeling: Transforms existing business glossaries and documentation into a Semantic Knowledge Graph, enabling organizations to move from raw data to query-ready insights within days or weeks.
Consistent Business Logic: Defines and maintains shared business logic to help maintain consistency across departments and prevent metric drift.
Proactive Logic Maintenance: Identifies and updates changes in business definitions, allowing the semantic layer to evolve without requiring manual reconfiguration.

The Actian AI Analyst: Accuracy at Scale

The Actian AI Analyst delivers trusted, conversational analytics that allow business users to explore data and uncover insights using natural language. By framing every question within a governed semantic foundation, the solution enables teams to act on verified information in real time.

Conversational Interface: Replaces static dashboards with a natural-language interface, allowing business users to ask follow-up questions and receive instant analysis without writing SQL.
Constrained Execution Engine: Uses a rules-based approach to ground every answer in the company’s specific logic and eliminates the unconstrained SQL generation that causes AI hallucinations.
Full Traceability: Provides visibility into the reasoning steps, filters, and calculations used to produce every answer, allowing users to validate results and resolve discrepancies quickly.

Seamless Integration and Action

Actian AI Analyst integrates directly into existing business workflows to shorten the distance between a question and a strategic decision.

Slack and Microsoft Teams Integration: Delivers conversational analytics directly within existing collaboration tools, allowing users to query and receive data then share results without switching applications.
Threaded Conversational Context: Maintains the history of a conversation across follow-up questions, enabling insights to evolve naturally without restarting the analysis.
Streamlined Operations: Empowers business users to self-serve accurate answers, reducing the operational burden on data teams.

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“The Actian AI Analyst turned our BI into a conversation instead of a development cycle,” said Pieter Seyns, Head of Artificial Intelligence at Bekaert, a leader in material science of steel wire transformation and coating technologies. “Faster insights, fewer dashboards—the Actian AI Analyst simply works.”

For organizations looking to extend these capabilities enterprise-wide, Actian AI Analyst can be paired with the Actian Data Intelligence Platform to create a closed-loop system where governed data definitions flow directly into live, conversational analytics.

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Firstup Extends AI Suite with New Agentic Capabilities Across its Intelligent Communication Platform

PRNewswire

March 10, 2026

Firstup Extends AI Suite with New Agentic Capabilities Across its Intelligent Communication Platform

Expanding beyond generative assistance to agentic execution, Firstup AI orchestrates communication and action to drive productivity, engagement, and efficiency–from the corporate office to the frontlines

Firstup, the pioneer of intelligent communication and engagement platforms for the workforce, introduced Firstup AI, a comprehensive AI suite purpose-built to drive strategic outcomes across the enterprise, from safety, compliance, and onboarding to retention, productivity, and culture.

From Generative AI to Agentic Innovation

Thousands of communicators already use Firstup’s AI-powered content and campaign tools daily. Now, the company is building on that momentum to move beyond generative assistance into agentic AI that can anticipate needs, take action, and deliver measurable results – all embedded directly into the platform where millions of employees already go for information.

“Most enterprise AI tools were built for workers at desks – not the nurse between shifts or the maintenance technician on the manufacturing line. We built Firstup AI to meet workers where they are,” said Bill Schuh, CEO of Firstup. “Every capability we’re shipping is designed to drive real outcomes: more productivity, stronger engagement, less friction. AI that doesn’t just assist, but acts, means employees, including frontline and deskless workers, can focus on work that actually matters to the business.”

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Firstup AI spans five pillars – AI Search, AI Content Creator, AI Insights, AI Actions, and AI Audience Builder – each designed to support the communications and interactions that keep the workforce informed, connected, and productive:

Firstup AI Search: Employees ask a question in plain language and get a direct, accurate answer, instantly without searching across multiple systems, opening tickets, or waiting on HR. AI Search pulls from connected platforms like Workday, ADP, Sharepoint, Google Drive, and ServiceNow to surface what employees need in seconds, with contextual awareness of their roles and permissions. For example, an employee can inquire about their PTO balance without leaving the Firstup platform. An upcoming Microsoft Copilot integration will extend that experience into the tools employees already use.

Firstup AI Content Creator: Acting as an intelligent agent, the Assistant will take an initial idea, craft a well-structured draft, and deliver a publication-ready post that employees can easily review, refine, and share. Additionally, it eliminates the heavy lifting of communication through expanded AI-powered optimization and, in the near future, asset management and AI content creation in the campaign workflow. Teams can leverage the engine to draft content, refine writing, improve campaigns, and surface trending topics, while the broader workforce benefits from Comment Assist, a real-time coach that ensures internal dialogue remains professional and constructive.

Firstup AI Insights: Allows the business to understand if and why campaigns are working through natural conversation. Current features include comment sentiment analysis and, coming soon, automatic trend surfacing and the ability to ask natural language questions such as, “Which employee cohorts showed the most significant change in engagement last quarter?”

Firstup AI Actions (Coming Soon): Connects Firstup’s agent directly to enterprise systems of record, including Workday, ServiceNow, and ADP, to execute tasks on behalf of employees through natural language conversation. For example, a PTO request that previously required an employee to find, log into, and navigate the source system is now an instant transaction completed within Firstup.

Firstup AI Audience Builder (Coming Soon): Allows business teams to build audiences effortlessly using natural language. Simple prompts such as “New hires in EMEA who started this year and haven’t been active in the last 30 days” will uncover complex target segments, while the engine’s continuous learning refines targeting and campaign suggestions over time.

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“Generative assistance alone doesn’t drive organizational outcomes; knowing exactly who needs the content, how to reach them, and what will drive action does. That’s where these new agentic innovations come into play,” said Cheryl Chavez, Chief Product Officer at Firstup. “Our AI is so deeply personal and contextual because it’s built upon the robust universal employee profiles, behavioral engagement data, and enterprise integrations that have powered Firstup for years. We are creating a platform that can anticipate an employee’s needs before they even ask.”

Firstup AI runs on the same secure, compliant infrastructure that Fortune 500 companies rely on every day through Firstup. Data is encrypted and never used to train AI models. Every response is grounded exclusively in the organization’s verified content. If authoritative information is not available, the AI does not generate speculative answers. Role-based permissions and administrative governance controls ensure responses are limited to approved systems and content sources.

Key features of Firstup AI Search, AI Content Creator, and AI Insights are available now, with more capabilities coming in the next several months. Firstup AI Actions and AI Audience Builder are coming soon, with general availability planned for later this year.

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Precisely and Matillion Partner to Accelerate Data Modernization and Agentic AI Readiness

PRNewswire

March 10, 2026

Precisely and Matillion Partner to Accelerate Data Modernization and Agentic AI Readiness

New offering adds Extract Transform Load capabilities to the Precisely Data Integrity Suite’s Data Integration service

Precisely, the global leader in data integrity, announced a new OEM partnership with Matillion, the intelligent data integration platform, bringing cloud-native Extract Transform Load (ETL) capabilities to the Precisely Data Integrity Suite. The new offering enables organizations to move, transform, and prepare data within a single suite of interoperable services, eliminating reliance on fragmented tools and manual ETL processes.

ETL capabilities powered by Matillion expand the Precisely Data Integrity Suite’s Data Integration service with scalable data transformation and pipeline automation, complementing its enterprise-grade data replication. By combining Matillion’s modern, cloud-native transformation platform with the broader Precisely Data Integrity Suite that includes services for data quality, governance, enrichment, and more, organizations can modernize data environments faster and deliver AI-ready data to power AI, automation, and analytics initiatives across the enterprise.

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“AI ambition only delivers ROI when the data behind it is modern, scalable, and trustworthy,” said Ulf Viney, Executive Vice President of Engineering, Support & Operations at Precisely. “By embedding cloud-native ETL directly into the Data Integrity Suite, we’re eliminating fragmentation and giving organizations a unified foundation to move, prepare, and trust their data, accelerating their path to Agentic-Ready Data.”

Data transformation remains one of the most complex and time-consuming steps in building data pipelines. Organizations manage data across highly complex environments, including on-premises systems, cloud platforms, and SaaS applications, where inconsistent formats and structures require extensive preparation before implementation.

“As organizations modernize for analytics and AI, simplifying data integration architectures has become a priority,” said Stewart Bond, Vice President, Data Intelligence and Integration Software Research, IDC. “Embedding cloud-native ETL within a broader data integrity framework reflects the shift toward more unified data platforms that reduce complexity, improve trust, and better support AI-driven use cases.”

Embedded directly within the Precisely Data Integrity Suite, ETL powered by Matillion enables users to extract data from multiple sources, transform it into usable formats, and deliver it to the systems that drive business outcomes, thereby reducing pipeline fragmentation and operational overhead.

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“Matillion helps organizations move faster by simplifying and accelerating transformation workflows,” said Tim O’Neil, Chief Revenue Officer at Matillion. “Powered by embedded Matillion cloud-native transformation technology, Precisely combines modern pipeline execution with enterprise-grade data integrity, enabling customers to build scalable pipelines more efficiently and unlock greater value from their data..”

ETL powered by Matillion supports modernization efforts by enabling:

Low-code, cloud-native ETL/ELT for rapid pipeline development
Scalable data transformation across hybrid and multi-cloud environments
Faster time-to-insight for analytics and reporting
Trusted data foundations for AI and advanced decision-making
Reduced complexity through unified integration workflows

By integrating ETL into the Data Integrity Suite’s business-friendly user experience with other services such as Data Quality, Data Governance, Data Enrichment, and Spatial Analytics, Precisely and Matillion provide organizations with a streamlined approach to modernizing infrastructure, operationalizing analytics, and preparing for AI-driven innovation.

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Global Trade at Your Fingertips: How Ecer.com is Powering the Mobile Revolution in B2B

MTS Staff Writer

March 10, 2026

Global Trade at Your Fingertips: How Ecer.com is Powering the Mobile Revolution in B2B

As mobile internet ubiquity reshapes global commerce, the traditional reliance on desktop computers and lengthy email chains in cross-border trade is rapidly fading. A new era of “Mobile B2B” has arrived, where foreign trade professionals manage inquiries, negotiations, and orders entirely via smartphone.
At the forefront of this transformation is Ecer.com, a leading mobile B2B marketplace. By integrating communication, product showcasing, and transaction management into a unified mobile ecosystem, ECER is making global trade more accessible and efficient than ever before.

Breaking Language Barriers with Instant AI Communication
In traditional trade, time zone differences and email delays often stall momentum. ECER addresses this by combining instant messaging with advanced AI translation. Buyers and suppliers can now discuss product specifications and pricing in real-time, regardless of their native languages.
Shenzhen Zento Traffic Equipment Co., Ltd. recently demonstrated this efficiency. When a Spanish buyer inquired about technical parameters, the manufacturer used the ECER mobile app to chat instantly via AI translation. The buyer then initiated a mobile video call to inspect product details on the spot. A deal that typically would have taken days of email back-and-forth was preliminary confirmed in less than 24 hours.

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Building Trust Through Virtual Transparency
Trust is the bedrock of B2B trade, yet physical factory inspections are costly and time-consuming. To bridge this gap, Ecer.com has introduced panoramic factory tours and VR product displays on its mobile platform.
International purchasers can now use their phones to virtually walk through production lines, inspect equipment, and examine product finishing. This visual transparency allows buyers to assess a supplier’s capabilities instantly, building a solid foundation for cooperation without the need for immediate travel.

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The New Normal: Trade Without Borders
The shift from PC to mobile represents more than just a change in hardware; it is a fundamental transformation of the trade model. By consolidating core business functions into a mobile interface, ECER enables entrepreneurs to manage global operations anytime and anywhere.
“Mobile trade is no longer just an alternative; it is the new industry standard,” the platform suggests. As communication becomes faster and information more transparent, global partnerships are becoming tighter. In this evolving landscape, businesses that embrace mobile-first strategies through Ecer.com are finding themselves better positioned to capture emerging global opportunities and maintain a competitive edge.

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Deepdub New Voice AI Model, Phantom X 3.2 Brings Studio-Grade Dubbing and Ultra-Low Latency Voice Agents to Global Enterprises

PRNewswire

March 10, 2026

Deepdub New Voice AI Model, Phantom X 3.2 Brings Studio-Grade Dubbing and Ultra-Low Latency Voice Agents to Global Enterprises

Along with new agentic AI workflows, the new model is already powering faster localization for dozens of Deepdub GO enterprise customers

Deepdub, a foundational voice AI company pioneering expressive voice technologies, announced the launch of its latest AI speech model Phantom X 3.2, designed to redefine the standards of dubbing and real-time voice agents. With enhanced voice quality, multilingual capabilities, and ultra-low latency, Phantom X 3.2 is built to meet the growing demands of global enterprises for scalable, high-quality AI voice and dubbing solutions. Additionally, Deepdub’s new agentic AI workflows will be demoed at the upcoming NVIDIA GTC, showcasing the future of AI-powered localization.

Deepdub GO, the company’s enterprise localization platform purpose-built for localization at scale, is now powered by Phantom X 3.2. GO continues to serve as the backbone of Deepdub’s enterprise offering, enabling production teams to generate, review, and deploy AI dubbing across dozens of languages within high-volume localization pipelines. With GO, Deepdub’s strategic partners have uninterrupted and complete access to the world’s most advanced AI-powered localization platform, including Phantom X 3.2 and all new foundation models and agentic capabilities as they are introduced.

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Phantom X 3.2 introduces a new generation of dubbing capabilities engineered for studio-grade quality at enterprise scale. The model produces professional-quality voice output with human-like delivery across extreme pitch, speed, and prosody ranges, and supports zero-shot voice cloning from as little as one second of reference audio, even from noisy or degraded source material. Expanded emotion styles, including Joy, Giggle, and Laughter, can be layered within a single line, and a new Key Names and Phrases (KNP) system ensures consistent pronunciation and translation of recurring character names and technical terms across full episodes and series.

The model’s precision phonetics for stress-timed languages ensures perfect pronunciation in languages where stress impacts meaning, such as Russian, Hebrew, and other languages in which incorrectly applied stress alters the meaning of the word. This ensures, for example, words like “zamok” (castle vs. lock) or “BI-ra” (beer vs. capital city) are correctly pronounced. This makes it an essential tool for global enterprises aiming to localize content accurately.

Phantom X 3.2 enables streaming platforms and studios to localize series into 10–20 languages simultaneously while maintaining consistent character voices, accurate pronunciation of names and terms, and natural performance across episodes. The model also supports animation and franchise localization, large catalogue dubbing of films and television libraries, fast-turnaround localization for trailers, promos, and global releases, and natural narration for documentaries and unscripted programming.

For real-time voice agents, Phantom X 3.2 delivers approximately 125ms end-to-end latency, making it suited for demanding voice agent use cases such as customer support, virtual assistants, and interactive AI pipelines. Speech generation begins as text arrives, processing the remainder of each sentence in parallel to enable natural, uninterrupted real-time conversations. The model also maintains consistent voice identity, emotional control, and audio quality across extended interactions, with automatic speaker gender detection that persists throughout a session.

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“The demands on voice AI have never been more complex or more consequential,” said Ofir Krakowski, CEO and co-founder of Deepdub. “Content owners and global enterprises need every language to feel native, and every conversation to feel human. But beyond quality, the economics of localization are being rewritten — streaming platforms can now make on-demand localization decisions as content breaks through in a new market, without pre-committing budgets to languages that may never be needed. With Phantom X 3.2, we’ve built a model that meets every bar simultaneously – Hollywood-grade expressiveness, real-time responsiveness, and the unit economics that make agile, language-by-language expansion a real business decision rather than a gamble. And this is just the beginning. We’re continuing to push the boundaries of what’s possible in dubbing and localization, with agentic AI workflows that will further automate and orchestrate pipelines end-to-end, making world-class localization faster, smarter, and more accessible than ever before.”

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The End of Static Ads: Gifr.ai Debuts AI Image-to-GIF Tool to Streamline Content Production

MTS Staff Writer

March 10, 2026

The End of Static Ads: Gifr.ai Debuts AI Image-to-GIF Tool to Streamline Content Production

New AI-powered platform empowers marketers and creators to boost engagement by 3x with instant, high-fidelity animated visuals.

Gifr.ai today announced the debut of its advanced generative AI platform, designed to transform static images into professional-grade GIFs in seconds. By automating the animation process, Gifr.ai streamlines digital production and slashes creation time, offering a scalable solution to the industry’s long-standing static content challenges.

Motion is no longer a luxury—it’s a necessity. Gifr.ai empowers brands to transform static images into high-engagement GIFs in seconds, bridging the gap between cost and creative agility.”

— Gifr.ai founding team stated

Digital marketers currently face a hard truth: in today’s attention economy, static imagery is no longer enough. While motion-based posts consistently generate higher engagement, the high cost and technical complexity of traditional animation have remained significant barriers for most creators.

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According to industry data, posts featuring GIFs can receive up to three times more engagement than static images. Gifr.ai leverages proprietary artificial intelligence to bridge this gap, enabling marketers, designers, and content creators to produce compelling motion content with unprecedented speed and efficiency.

“In today’s attention economy, motion is no longer optional — it’s essential. Yet most marketing teams lack the time and technical resources to create animation at scale. Gifr.ai bridges that gap by transforming static images into dynamic motion assets efficiently, unlocking a new level of creative agility for brands.,” said the founding team at Gifr.ai.

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Key Innovation Highlights of Gifr.ai:

– Prompt-to-Motion Technology: Users simply upload an image and describe the desired movement. The AI generates animation based on text prompts, bringing static visuals to life.

– Professional Customization: Precision controls for animation speed, loop style, and visual effects allow brands to maintain consistent aesthetics.

– Cross-Platform Optimization: Export-ready formats optimized for social media, email campaigns, websites, and digital advertising platforms.

As global marketing teams face tighter deadlines and shrinking budgets, tools like Gifr.ai are becoming essential infrastructure. From agile startups to enterprise organizations, the platform provides a competitive edge in an increasingly crowded digital landscape.

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AVOXI Introduces Trusted Outbound Voice Software to Boost Enterprise Answer Rates and Reduce Spam Calls to Customers

Business Wire

March 10, 2026

AVOXI Introduces Trusted Outbound Voice Software to Boost Enterprise Answer Rates and Reduce Spam Calls to Customers

New AI-Driven SaaS Integrates Reputation Management, Intelligent Automation and Localized Caller ID to Put Trust Back into Customer Service Calls

AVOXI, a global leader in cloud voice software for contact centers, released Trusted Outbound Voice, an integrated solution that reduces outbound call barriers between companies and customers to increase connection rates and decrease spam calls. Trusted Outbound Voice intelligently controls exactly how calls are displayed to customers, enabling enterprises to manage number reputation and utilize familiar, local caller IDs that significantly boost customer engagement.

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“With more than 80% of consumers receiving weekly fraud calls, skepticism of unknown callers is at an all-time high,” said Barbara Dondiego, CEO of AVOXI.

“With more than 80% of consumers receiving weekly fraud calls, skepticism of unknown callers is at an all-time high,” said Barbara Dondiego, CEO of AVOXI. “Enterprises can no longer rely on fragmented tools to reach customers globally. AVOXI has engineered Trusted Outbound Voice to give organizations a single software solution that ensures compliant calls are recognized, trusted, and delivered without the risk of improper spam labeling.”

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Software Intelligence Drives Global Outbound Voice Success

AVOXI provides a centralized software layer to orchestrate the four critical pillars of a successful outbound voice strategy:

TrueLocal Integration: Building on AVOXI’s global cloud network to provide two-way local voice and authentic local caller ID, now available in a market-leading 110+ countries.
Intelligent Caller ID (launched mid-2025): A sophisticated AI-driven selection engine that analyzes communication history, local preferences, and real-time performance metrics to select the optimal caller ID for every dial.
Reputation Management (now available): A new monitoring tool that scans global databases to detect if phone numbers have been flagged as “Spam” and provides in-platform analytics to ensure outbound calling best practices.
Branded Caller ID (coming soon): Branded Caller ID completes the outbound trust cycle by enabling companies to display their verified brand identity directly on a recipient’s Caller ID.

Enterprise-Grade Voice Software for Global Contact Centers

The AVOXI platform is specifically optimized for large-scale enterprises operating around the world. By offering a unified voice software layer that works alongside existing tools like Genesys and Amazon Connect, AVOXI helps organizations move beyond the limitations of traditional telephony to achieve better voice outcomes.

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iVerify and NowSecure Partner To Integrate Mobile App Security Data Into iVerify Enterprise

MTS Staff Writer

March 10, 2026

Ecer.com Redefines Global Trade with Mobile-First Ecosystem

Strategic partnership brings NowSecure data directly into the iVerify Enterprise admin portal.

iVerify, the leader in advanced mobile endpoint detection and response (EDR) solutions and NowSecure, the industry’s trusted provider of mobile app security testing and intelligence, today announced a strategic partnership to bring its data directly into the iVerify Enterprise admin portal.

With mobile devices now the primary endpoint for modern enterprises, security teams face an expanding set of challenges — from zero-click commercial spyware to malicious apps, insecure app behaviors, credential theft and supply chain risks hidden inside third-party software. The integration with NowSecure’s Mobile App Risk Intelligence (MARI) bridges this critical visibility gap and allows security teams to automatically assess mobile apps installed across enterprise devices with NowSecure’s industry-leading security scoring and set alerts based on app safety score.

Malicious and compromised apps remain a common vector for credential theft, surveillance and supply chain compromise. BYOD can create blind spots where shadow IT thrives with unsanctioned, risky and outdated apps that can expose sensitive data, provide attackers persistence paths or allow lateral movement from mobile to corporate networks. Now, security teams can understand the risk of user-installed apps and be alerted when an app is downloaded that exceeds the risk threshold.

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NowSecure leads in this space with advanced ML/AI testing of apps that is fully automated with human in the loop to catch anything automated app profiling misses. Not all mobile security is about malicious apps or commercial spyware. Legitimate applications from official stores introduce their own exposure, particularly as AI-enabled apps become ubiquitous and the data flowing to underlying models remains opaque. Security teams need accurate, granular visibility into what these apps are doing to meaningfully reduce the attack surface across their mobile fleets.

“Combining NowSecure’s industry-leading data with iVerify’s advanced mobile EDR platform gives customers the best security detection and posture possible,” said Rocky Cole, co-founder and COO of iVerify. “In a world where mobile devices are becoming the most used corporate endpoint, and among the least protected, security can no longer be an afterthought.”

As a privacy-centric platform, iVerify provides administrators with visibility into application risk across their device fleet without exposing the specific apps installed by individual users. By default, administrators see aggregated insights into application categories and associated risk signals rather than the precise apps on a given device. In managed enterprise environments, organizations can choose to drill down to the device level when investigating potential risks. Armed with clear context on why certain applications are classified as high risk, security teams can block those apps and monitor their presence across their fleet.

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“Every mobile app that interacts with your organization, including those you’ve built or manage, can become a gateway to sensitive data,” said Andrew Hoog, co-founder at NowSecure. “Our technology combined with iVerify’s industry-leading mobile EDR platform provides a powerful solution to prevent data leakage or unauthorized access, ensuring security, privacy and compliance at scale.”

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RingCentral Unveils AIR Pro: An Agentic Voice AI Platform for Customer Engagement

Business Wire

March 10, 2026

RingCentral Unveils AIR Pro: An Agentic Voice AI Platform for Customer Engagement

Build and deploy voice-first, omnichannel AI agents in minutes

AI agents that reason and execute multi-step actions autonomously

RingCentral, Inc. , a global leader in AI-powered business communications, announced RingCentral AIR Pro™ (AI Representative), a voice-first, omnichannel AI agent platform. As part of the launch, AIR Pro™ includes a no-code environment, called AIR Pro Studio, enabling anyone to design, build, and deploy voice and digital AI agents in minutes using natural language. Embedded directly within RingCentral’s business communications and contact center platform, AIR Pro is the fastest and easiest way for businesses to redefine customer experiences with automation that reduces manual effort and streamlines operations.

AIR Pro can recognize intent, authenticate customers, and execute multi-step actions autonomously. With real-time multilingual switching, AIR Pro eliminates friction for customers who move between languages midstream. It can also resolve inquiries, initiate service cases, and trigger next steps — all within the same interaction to improve customer satisfaction and accelerate time to resolution.

AIR Pro builds on RingCentral’s growing agentic voice AI ecosystem, which includes AIR™ (AI Receptionist) to ensure businesses never miss an important call or lead; AVA™ (AI Virtual Assistant) to assist in real-time by capturing notes and surfacing recommendations; and ACE™ (AI Conversation Expert) to analyze interactions and provide coaching to improve quality and performance. RingCentral is the platform of choice as consumers connect with their business providers. Building on this, AIR, AVA, and ACE together serve to unlock meaning behind every conversation and execute actions.

“AIR Pro represents the next evolution, enabling humans and AI agents to work in collaboration and drive meaningful customer outcomes at scale – all on our trusted agentic voice AI platform,” said Kira Makagon, President & COO at RingCentral. “AIR Pro together with AVA and ACE create a self-learning flywheel that transforms the entire conversation journey and elevates every customer interaction.”

“One of the things that stood out with AIR Pro is that it’s very intuitive when you go into the platform on how you need to set it up and how you need to configure it. It actually will help you configure itself, which takes the learning curve out of it,” said Brian Tucker, Chief Digital Officer at Televero Behavioral Health. “The jawdropping thing to me was seeing a product where we could turn multiple agents on in a day and put them to work for us and be able to scale our workforce up.”

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The four core principles of AIR Pro include:

Orchestrates AI and humans working together: Bridges the gap to bring humans and AI together in one coordinated workflow, turning collaboration into measurable impact.
Radical simplicity: Zero coding required. Users can design and deploy sophisticated AI agents by describing the goals they want the agent to handle, and AIR Pro interprets that intent to get the job done.
Autonomous execution: Understands intent, determines the next best action, and then executes that action to drive measurable business outcomes. Boundaries can be set by the user, while the AI agent handles complex multi-step processes without constant human involvement.
Vertical-readiness: AIR Pro includes pre-built AI agents, workflows, and 100+ integrations tailored to real industry use cases, starting with healthcare. Customers launch with production-ready capabilities, not a blank canvas.

Key capabilities of AIR Pro include:

Conversational problem solving: Combine human-like dialogue with real-time action to resolve issues and complete transactions seamlessly.
Omnichannel AI agents: Engage customers naturally across voice and digital channels with a single agent that maintains context and brand consistency.
Real-time reasoning and execution: Interpret intent and autonomously execute multi-step actions — from authentication and scheduling to case creation and system updates — during the conversation.
Multilanguage with auto-switching: Enables customers to move between languages mid-conversation, without any reset.
AIR Pro Studio (no-code agent builder): Empower teams to design, build, deploy and optimize agents, starting from goal-based templates and extending them with knowledge and action skills.
Integrations: Connect to 100+ enterprise systems and APIs to authenticate users, update records, and trigger real business actions across platforms.
Insights and continuous optimization: Track performance, analyze interactions, and measure ROI with built-in analytics and observability.
Enterprise governance and security: Ensure secure, compliant, and transparent operations with role-based controls, guardrails, and audit-ready architecture.

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“The next wave of AI in communications will be defined by platforms that can combine intelligent automation with enterprise-grade reliability,” said Zeus Kerravala, Founder & Principal Analyst at ZK Research. “RingCentral’s experience operating complex, high-volume voice environments provides a strong foundation for agentic AI. With AIR Pro, they are extending that strength into real-time action — enabling organizations to authenticate, resolve, and complete customer requests during the interaction, driving measurable business performance rather than just conversational efficiency.”

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KNOREX Delivers 47% Surge in Conversion Quality and 45% Reduction in CPA Following Major KAIROS™ AI Models Upgrade

Business Wire

March 10, 2026

KNOREX Delivers 47% Surge in Conversion Quality and 45% Reduction in CPA Following Major KAIROS™ AI Models Upgrade

Click-to-Conversion Rates Exceed 10% — 5x Industry Benchmark

Live Automotive Campaigns See Performance Uplift of Up to 100%, Strengthening Unit Economics and Revenue Scalability

KNOREX Ltd. (“KNOREX” or the “Company”), a leading provider of AI-driven programmatic advertising solutions, announced the full-scale commercial deployment of major enhancements to KNOREX KAIROS™ after more than six months of selective deployments, the Company’s proprietary artificial intelligence decisioning infrastructure powering bid optimization and performance modeling within the KNOREX XPO™ platform.

The upgraded KAIROS Bid Model and CPA Model, now deployed across live automotive campaigns, have delivered:

47% average improvement in click-to-conversion quality

45% average reduction in cost per acquisition (CPA)

Click-to-conversion rates exceeding 10% — more than 5x the ~2% industry benchmark

Campaign performance uplift ranging from 25% to 100%

These measurable performance gains materially improve advertiser unit economics, return on ad spend (ROAS), and campaign scalability.

AI Engine Designed for Outcome-Driven Monetization

KNOREX KAIROS™ is the Company’s proprietary AI engine that powers predictive bidding, traffic quality modeling, and outcome-based optimization across programmatic advertising campaigns. Operating within the scalable KNOREX XPO™ platform, KAIROS continuously analyzes real-time behavioral signals, engagement patterns, and downstream conversion data to identify high-intent users, suppress low-quality traffic, dynamically optimize bids, and improve measurable business outcomes.

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The significantly enhanced KAIROS Bid Model strengthens KNOREX’s ability to filter non-converting traffic before it reaches advertiser landing pages, materially improving traffic quality and conversion efficiency. Observed click-to-conversion rates exceeding 10% substantially outperform typical industry and native platforms’ averages.

In parallel, the upgraded KAIROS CPA Model has materially improved cost efficiency across automotive servicing campaigns, reducing average CPA by 45%. These improvements enable dealerships and automotive advertisers to acquire higher-intent customers while preserving budget efficiency, supporting stronger ROAS and more sustainable scaling of campaigns.

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Driving Revenue Scalability and Operating Leverage

By integrating predictive traffic quality modeling with downstream conversion optimization, KNOREX shifts campaign performance from click-centric metrics to outcome-driven economics. This AI-driven approach enhances monetization efficiency for advertisers while reinforcing the scalability of the KNOREX XPO™ platform.

The commercial deployment of these upgraded AI models supports KNOREX’s strategy to drive long-term revenue scalability, strengthen advertiser retention, and improve platform-level operating leverage. As advertisers realize improved acquisition economics and measurable performance gains, KNOREX is positioned to expand campaign budgets and deepen client relationships across verticals.

Strengthening Competitive Position in AI-Driven Programmatic Advertising

These advancements reflect KNOREX’s continued investment in proprietary AI technologies designed to deliver scalable, performance-driven programmatic advertising. By combining bid quality optimization with CPA-focused modeling within a unified AI infrastructure, KNOREX enhances its differentiated competitive position in the rapidly evolving AI-driven advertising market.

The Company intends to extend these KAIROS’ enhancements across additional verticals as part of its broader strategy to deliver measurable business results and drive sustainable revenue growth.

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TapClicks Expands Unified Marketing Intelligence to Connected TV with New MNTN Integration

MTS Staff Writer

March 10, 2026

TapClicks Expands Unified Marketing Intelligence to Connected TV with New MNTN Integration

TapClicks, the leader in Smart Marketing solutions, today announced a new marketing campaign connector for MNTN, bringing Connected TV (CTV) advertising performance into the TapClicks AI-powered marketing intelligence platform.

As streaming continues to reshape the television landscape, Connected TV has become one of the fastest-growing advertising channels. Yet for many marketing teams, CTV data remains disconnected from the rest of their marketing analytics stack, making it difficult to evaluate how television contributes to overall campaign performance.

The new TapClicks MNTN connector addresses this challenge by integrating Connected TV campaign performance directly into the unified TapClicks platform. Agencies, media companies, and brands can now analyze streaming television performance alongside search, social, retail media, and other marketing channels within a single source of truth.

The TapClicks Smart Marketing Cloud retrieves, integrates, warehouses, and activates data from virtually any marketing source, eliminating silos and reducing manual reporting. Native Instant-On connectors store data historically for deeper analysis and transformation, while Live On-Demand connectors provide near-real-time access for faster decision-making. Together, they empower marketers to move from fragmented channel reporting to unified, cross-channel intelligence.

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By bringing MNTN data into the TapClicks ecosystem, marketers gain deeper insight into how Connected TV contributes to conversions, engagement, and revenue.

Connected TV continues to gain momentum as advertisers look for ways to combine the storytelling power of television with the precision targeting and measurement capabilities of digital advertising.

With the TapClicks integration, marketing teams can:
● Analyze CTV performance alongside other marketing channels
● Build unified dashboards and cross-channel reports
● Track campaign performance down to granular campaign and creative levels
● Optimize budget allocation based on full-funnel performance insights

Within the AI-powered TapClicks platform, marketers can view, analyze and report results from all sources while leveraging deep granular data. The platform provides access to extensive data fields and custom views, allowing users to group, filter, visualize and drill down from campaign to creative level to optimize strategy.

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“With TapClicks, marketers can deliver meaningful intelligence that inspires action and drives performance,” said Babak Hedayati, CEO of TapClicks. “Connected TV is rapidly becoming a core part of the marketing mix, and integrating platforms like MNTN into our ecosystem helps marketers understand how this fast-growing channel contributes to overall campaign success.”

TapClicks automates and simplifies the creation and management of digital advertising campaigns across multiple channels, reducing manual effort and errors for more effective marketing strategies.

The new MNTN connector is available now, worldwide. To view the full list of connectors, see https://www.tapclicks.com/connectors?category=#integrations. This addition underscores the company’s commitment to innovative solutions that accelerate marketing operations, increase ROI, and drive better business outcomes.

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Certified AITS Agency Partner brings diagnostic-driven AI search visibility strategy to growth-focused brands

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Content Monetization Protocol (CoMP) establishes a standardized approach for AI systems and content owners to enable commercial agreements, reduce risk, and support a sustainable global information supply chain; available for Public Comment Until April 9, 2026

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Revolutionary Platform Leverages Behavioral Excellence from Top Performers and Deploys Company-Wide Intelligence from Day One

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Along with new agentic AI workflows, the new model is already powering faster localization for dozens of Deepdub GO enterprise customers

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New AI-powered platform empowers marketers and creators to boost engagement by 3x with instant, high-fidelity animated visuals.

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Strategic partnership brings NowSecure data directly into the iVerify Enterprise admin portal.

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Build and deploy voice-first, omnichannel AI agents in minutes

AI agents that reason and execute multi-step actions autonomously

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Click-to-Conversion Rates Exceed 10% — 5x Industry Benchmark

Live Automotive Campaigns See Performance Uplift of Up to 100%, Strengthening Unit Economics and Revenue Scalability

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

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