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Sentra Launches Platform to Deliver the Missing Data Readiness Layer for Enterprise AI

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Sentra Launches Platform to Deliver the Missing Data Readiness Layer for Enterprise AI

Sentra | Data Security Solutions

AI is ready, but the data it runs on is not.

Sentra, the AI data readiness platform that secures sensitive data at petabyte scale, announced the launch of the Sentra Platform for Continuous AI Data Readiness and Governance. The platform addresses a critical gap in enterprise AI adoption as organizations invest heavily in AI infrastructure and governance, while many still lack a continuous understanding of the data feeding those systems.

Enterprises are having an uncomfortable moment with AI. In the rush to deploy, many skipped over the data readiness layer, and are now left with an uneasy feeling about the data foundation AI is running on. Is it up-to-date and accurate? Are we confident sensitive data won’t be leaked? CISOs today are focused on answering one key  question: Do we know where all our sensitive data is, and who or what agents can access it? Enterprises funded the infrastructure layer first, including models, pipelines, GPUs and deployment. Many have also built governance programs to define policies, guardrails and responsible AI practices. But without a data readiness layer, both operate on incomplete information. Security, compliance and AI teams still struggle to answer basic questions about what sensitive data exists, where it lives, how it is classified, who can access it and whether AI systems should be allowed to use it.

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That gap is becoming more urgent as organizations move from AI assistants to agents. Copilots typically depend on a person asking a question and reviewing the output. Agents can move through data, call APIs and act on inherited permissions without a human reviewing each step. If those agents encounter stale data, overshared files or unclassified sensitive records, that exposure is no longer buried in a repository. It becomes part of the workflow.

Sentra addresses the enterprise AI data readiness gap by giving security and governance teams a continuous view of sensitive data, identity relationships, and AI access paths. The platform discovers and classifies sensitive data across the enterprise data estate, maps who and what can access that data and provides the context needed to enforce controls across existing security workflows.

“AI adoption has exposed a data readiness gap inside the enterprise,” said Yair Cohen, co-founder and VP Product at Sentra. “Organizations have invested in AI infrastructure and governance frameworks, but many still lack a current understanding of what sensitive data AI can reach. Sentra provides this missing data readiness layer and gives teams the foundation they need to govern AI data access, reduce exposure and keep pace as agentic AI expands.”

Why AI Data Readiness Has Become a Required Layer

AI assistants and agentic AI are changing how organizations need to think about data security. A file that once sat forgotten in a shared drive, a table with stale permissions or a service account with broad access can become active exposure once AI is connected to those environments.

The Sentra Platform helps organizations address four common AI data risks:

  1. Limited visibility into AI-accessible data. Sentra continuously discovers and classifies sensitive data across cloud storage, SaaS platforms, data warehouses, collaboration tools and AI environments so teams can understand what regulated and proprietary information AI systems can reach.
  2. Data sprawl and redundant sensitive data. Sentra identifies redundant, obsolete and unnecessary sensitive data that increases exposure and operating costs as AI systems consume more enterprise information.
  3. Over-permissioned users, service accounts and AI identities. Sentra maps sensitive data to the users, groups, service accounts and AI identities that can access it, helping teams enforce least privilege based on data sensitivity and business context.
  4. Ungoverned data entering AI workflows. Sentra provides classification and policy signals that help existing DLP, IAM, AI gateway and cloud-native controls prevent sensitive data from being used in copilots, RAG pipelines, knowledge bases or automated workflows without proper governance.

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Platform Capabilities
The Sentra Platform for Continuous AI Data Readiness and Governance delivers five core capabilities to help organizations safely adopt AI: complete visibility through a classified inventory of sensitive data across cloud, SaaS, collaboration, data warehouse, and AI environments — including AWS Bedrock, Azure OpenAI, Google Vertex AI, Snowflake Cortex, Microsoft 365 Copilot, and more; data hygiene to identify and eliminate unnecessary or overexposed information that inflates AI risk and costs; identity and access governance that maps sensitive data to the human identities, service principals, and AI agents that can reach it; automated remediation that triggers enforcement through existing DLP, IAM, and AI gateway controls; and continuous AI compliance with audit-ready evidence supporting GDPR, HIPAA, CCPA, and the EU AI Act.

Data Security that Stays Inside the Customer Environment
Sentra operates entirely within the customer’s environment using an agentless architecture, ensuring sensitive data is never copied out for processing; only enriched metadata such as classification results, risk findings, and access relationships is shared with the Sentra platform. This approach supports data residency, privacy, and compliance requirements while maintaining continuous visibility across large-scale environments, enabling security teams to keep governance current as new AI systems, data stores, and workflows are introduced.

The Sentra Platform for Continuous AI Data Readiness and Governance is available immediately across AWS, Azure and GCP environments.

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Selltonomy Launches AI Buyability Platform for Ecommerce Merchants

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MTS Staff Writer
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Raptive Launches Raptive Intelligence, Appoints John Roa as Chief AI Officer and Acquires AlchemyAI

New platform helps merchants determine whether AI agents can successfully complete purchases on their storefronts.

As autonomous AI agents from ChatGPT, Google Gemini, Perplexity, and Microsoft Copilot increasingly influence purchasing behavior, merchants face a new technical challenge: ensuring their storefronts are interpretable not only by humans, but also by machines.

Commerce is shifting from human browsing to machine-assisted purchasing. AI agents don’t just recommend products anymore. They attempt to complete transactions. Selltonomy was built to close that gap.”

— Isang Inokon, Founder, Selltonomy

Being discoverable by AI is not the same as being buyable by AI.

While many emerging AI optimization tools focus on Answer Engine Optimization (AEO) and AI visibility, Selltonomy focuses on a different problem: whether AI systems can successfully execute purchases once they reach a storefront.

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The platform audits storefront infrastructure across four protocol layers:

Schema markup integrity
Variant structures
Price interpretation
Checkout protocols

Selltonomy identifies hidden technical issues that can interfere with AI-assisted purchases, including structured data inconsistencies, conflicting pricing signals, ambiguous inventory states, and checkout friction. The company refers to these machine-level transaction issues as “Silent Failures,” defined as purchase attempts that fail before traditional analytics or abandoned-cart systems ever detect them.

Marketing Technology News: Idle data is as good as no data

According to Shopify’s own Q1 2026 data, AI-referred shoppers convert at nearly 50 percent higher rates than organic search visitors and carry 14 percent higher average order values. AI-attributed orders on Shopify grew nearly 13 times year-over-year in the same period. Yet most merchants have no visibility into whether their stores can capture any of this demand.

“AI agents will be a big part of how we shop in the not-so-distant future.” — Sundar Pichai, CEO, Google

“We’re making every Shopify store agent-ready by default. Shopify is the easiest solution for merchants who want AI agents to find their storefronts, understand their products, and complete transactions.” — Tobi Lutke, CEO, Shopify

“If product data isn’t structured for machines, it won’t surface where shopping now begins, and that means lost revenue before a buyer ever reaches your site.” — Jorrit Steinz, CEO, ChannelEngine

Selltonomy addresses the gap between storefront visibility and storefront buyability. First movers who close that gap now will capture AI-driven revenue their competitors don’t even know they’re losing.

“Commerce is shifting from human browsing to machine-assisted purchasing. AI agents don’t just recommend products anymore. They attempt to complete transactions. Merchants who aren’t prepared will lose sales they never knew were possible. Selltonomy was built to close that gap.” — Isang Inokon, Founder, Selltonomy

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Ampersand Partners with Fandango and Kochava to Deliver Closed-Loop TV-to-Ticket Sales Solution for Theatrical Marketing

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Ampersand Partners with Fandango and Kochava to Deliver Closed-Loop TV-to-Ticket Sales Solution for Theatrical Marketing

Contact Ampersand | TV Advertising Experts in NYC, Dallas, LA, DC — Ampersand

Studios can now plan, activate, and measure TV campaigns directly against verified ticket sales

Ampersand, the audience-first TV advertising sales and technology company, announced a new partnership with Fandango, the leading movie discovery and ticketing platform, and Kochava, the trusted attribution and measurement leader. This collaboration delivers a full-funnel, cross-screen theatrical advertising solution that combines precision audience creation, privacy-focused activation, and holistic attribution to connect TV exposure directly to ticket sales.

Despite massive investments in video, studios still struggle to connect media exposure to ticket sales. Most solutions rely on modeled audiences and proxy key performance indicators (KPIs), leaving marketers without clear visibility into what drives box office results. The new Ampersand-Fandango-Kochava solution directly addresses this challenge, enabling studios to reach high-intent audiences and prove performance from TV exposure to verified ticket purchase.

“Movie marketing has not had this level of data-driven clarity,” said Rachel Herbstman, VP of Data Innovation at Ampersand. “By unifying scale, intent, and attribution, studios can reach the right moviegoers, measure true performance, and maximize box office impact with confidence.”

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Built on unmatched scale and premium inventory and fueled by aggregated data and with a commitment to protecting personal information, Ampersand’s addressable footprint reaches 62 million households across more than 165 brand-safe networks enabled through their owners Comcast, Charter and Cox, and partners Altice and Verizon. By combining Ampersand’s footprint with Fandango’s reach across 72% of moviegoers and up to 50% of U.S. box office transactions, studios can now activate against verified, high-intent audiences with unprecedented precision.

“Kochava is proud to help power a new standard for theatrical marketing measurement,” said Seth Samuels, GM of Foundry Services at Kochava. “By connecting deterministic TV exposure to verified ticket sales in a privacy-safe way, this collaboration gives studios something they’ve long needed: clear, actionable insight into how premium television drives real box office outcomes. It’s a major step forward in bringing true closed-loop accountability to TV advertising.”

This is a new solution in the market that connects deterministic TV exposure directly to verified ticket purchases, bringing true closed-loop measurement to theatrical marketing. It provides studios with a turnkey solution that scales across release calendars, genres, and marketing needs while streamlining audience creation, activation, exposure tracking, and attribution reporting.

“For years, studios have had to piece together targeting, scale, and measurement across disconnected platforms,” said Anton Fedorov, VP of Enterprise Business Development at Ampersand. “This changes that. We’re bringing everything together, deterministic audiences, premium TV scale, and real box office outcomes, in a way the industry hasn’t seen before.”

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The partnership provides studios with:

  • Deterministic audience creation: Leverage Fandango’s SmartScore and custom micro-segmentation to reach high-propensity moviegoers
  • Closed-loop attribution: Match TV exposure insights to Fandango engagement and verified ticket purchases
  • Full-funnel optimization: Gain actionable insights to refine media investment and maximize box office impact
  • Privacy-focused activation at scale: Execute across premium TV with identity-accurate targeting and minimal waste

This partnership represents a fundamental shift in how theatrical campaigns are planned, executed, and measured, bringing the accountability and precision of performance marketing to the scale of premium television.

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Stensul Launches MCP Server to Help Enterprise Marketers Ship AI-Generated Campaigns Safely

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Business Wire
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Stensul Launches MCP Server to Help Enterprise Marketers Ship AI-Generated Campaigns Safely

Stensul logo black

Early Access Program brings enterprise marketing controls to AI-assisted campaign creation, beginning with email workflows

Stensul, the Governed Creation™ Platform, announced the Stensul MCP Server Early Access Program, giving enterprise marketing organizations a way to connect AI tools and agents to the controls required to turn AI-generated content into campaigns that are on-brand, compliant, approved, accessible, and ready to ship.

Enterprises are spending heavily on AI. But for many marketing organizations, that investment is not yet translating into more campaigns, faster launches, or more work reaching the market.

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“AI is changing the creation problem into a shipping problem,” said Manlio Carrelli, CEO of Stensul. “The work only matters if it can actually go live. The question for CMOs is how their organizations can ship with AI without creating brand risk, compliance risk, quality problems, or operational chaos. That is especially true in email, where large enterprises send high-volume, high-stakes communications to millions of customers. Stensul helps those teams move faster while preserving the controls they need. With Stensul MCP, we bring those controls to more places where AI-assisted creation is happening, so marketers can use AI to create more campaigns without losing control of what reaches the customer.”

Industry analysts see the launch as a signal of where enterprise AI integration is headed. “MCP has become a key standard for AI integration across martech. What’s exciting is that it’s moving beyond raw data access into higher-level marketing services and intelligence — the workflows, guardrails, approvals, and governance that determine whether AI-generated content can actually be shipped,” said Scott Brinker, analyst at chiefmartec. “Stensul’s MCP Server points to where enterprise martech is headed: AI agents operating not outside the system of control, but inside it.”

Marketing Technology News: Idle data is as good as no data

Stensul MCP is built on the Model Context Protocol, an open standard that enables AI tools and agents to connect with external systems. The significance for enterprise marketers is that AI-assisted creation can now happen inside the controls required to ship enterprise campaigns, rather than outside them. Through the Early Access Program, customers can begin connecting supported AI tools and agents to Stensul, allowing AI-created email to move through approved templates, brand rules, compliance checks, accessibility requirements, workflows, and approvals.

The launch builds on Stensul’s capabilities to support enterprise marketing teams wherever campaign creation happens. Stensul enables Governed Creation™ for email and landing pages, supports customer-approved LLMs inside Stensul, connects design work through the Stensul Figma plugin, integrates with workflow and email service providers, and makes Stensul templates available inside tools such as Adobe GenStudio for Performance Marketing. Stensul MCP extends that strategy to AI-assisted creation outside the Stensul interface.

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Marketing Architects Expands Relationship with Nielsen to Include Integration of Media Data Engine on a National Level

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Marketing Architects Expands Relationship with Nielsen to Include Integration of Media Data Engine on a National Level

Marketing Architects Logo

The TV agency was one of the earliest adopters of Nielsen’s local TV measurement solution. Now, it’s adding national, giving clients who use its media platform, Annika®, the insights they need to buy better across every market.

Nielsen, a global leader in audience measurement, data and media intelligence, and Marketing Architects, a television advertising services company, announced a newly expanded partnership.

Nielsen and Marketing Architects are addressing a need for faster viewership data, letting advertisers plan campaigns with greater speed, depth and precision.

Effective immediately, Marketing Architects will now utilize Nielsen for national TV measurement.

Marketing Technology News: MarTech Interview with Theresa Pham, Head of Product @ Wayvia

Prior to this, Marketing Architects was one of the earliest adopters of Nielsen’s local TV measurement solution. Marketing Architects tapped Nielsen’s Media Data Engine to help drive innovation, growth and results for marketers at the local TV advertising level. (MDE is a Nielsen local TV measurement solution that delivers greater speed, consistency and predictive capabilities to broadcast ad campaigns.)

The two companies are addressing a major industry need for faster collection and analysis of viewership data. Doing so allows advertisers and agencies to plan and buy their campaigns with greater speed, depth and precision.

Marketing Technology News: Idle data is as good as no data

This newly expanded integration delivers on that need by pairing Nielsen’s MDE with Annika®, Marketing Architects’ proprietary media-buying platform on a national level. (The latter’s key differentiators include the ability to access real-time viewership inputs and then to analyze the data with speed and scale.)

Working with Nielsen’s MDE provides Marketing Architects’ clients with speed and 100% market coverage. Now, Marketing Architects’ clients will receive a layer of audience depth for national linear buys, as well as stronger inputs for forecasting viewership around high-profile broadcast events and informing premium inventory strategy.

Nielsen’s MDE delivers ratings and viewership data consistently across all 208 DMAs, within days after an airing.

“The TV industry has been working around a data lag for a long time,” says Christi Uban, Sr. Director of Media Investment, Marketing Architects. “We were one of the first to utilize Nielsen’s MDE on a local level and, fueled by the success we’ve seen with Annika, we’re now expanding it to a national level to provide clients with the insights they need to help them grow their businesses.”

“We’re excited to be teaming up with Marketing Architects and look forward to helping to drive innovation and momentum for their clients on a national TV measurement basis,” said Ryan Williams, SVP, Sales Director, Nielsen. “The rise and popularity of categories such as live sports is driving increased eyeballs to this sector and we’re looking forward to helping Marketing Architects and its clients unlock new opportunities to reach and engage with consumers in this space.”

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Bloomreach Brings AI Agent to General Availability to Solve One of Marketing’s Most Expensive Problems: Keeping Customers

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Bloomreach Brings AI Agent to General Availability to Solve One of Marketing's Most Expensive Problems: Keeping Customers

Bloomreach

Bloomreach, the AI company for personalization, announced the general availability of its Loomi marketing agent, which converts a single prompt into a fully built campaign workflow. Built on the Loomi agentic personalization platform, which combines data-driven intelligence and powerful AI models, the marketing agent understands customers, not just segments, delivering the kind of personalized engagement that earns loyalty beyond the first click.

“Acquisition is the biggest line item in most marketing budgets. But winning a customer and keeping one are completely different problems,” said Anirban Bardalaye, Chief Product Officer at Bloomreach.

“Acquisition is the biggest line item in most marketing budgets. But winning a customer and keeping one are completely different problems,” said Anirban Bardalaye, Chief Product Officer at Bloomreach. “You earn loyalty by delivering value that’s genuinely relevant to each customer, by giving them a reason to come back. Our agent makes that possible at scale for marketing teams — personalization not as a buzzword, but as an operational reality across the entire customer journey.”

Marketing Technology News: MarTech Interview with Theresa Pham, Head of Product @ Wayvia

Loomi marketing agent enables autonomous campaign creation and optimization, using real customer data to personalize each campaign at the individual level. With powerful speed and scale, it builds entire campaigns — not just briefs — while giving marketers guardrails and control. The marketing agent has already driven measurable results for innovative brands like 260 Sample Sale, which achieved a 2.4x higher conversion rate while reducing the volume of customers targeted by 82% for a “last chance” campaign.

“Loomi marketing agent transformed how our team engages with our customers,” said Laura DiGiovanna, Head of Marketing, 260 Sample Sale. “It created segments and personalized campaigns better than a human could have. Not only that, but it helped us find the customers with the highest potential to buy. It’s a combination of personalization and efficiency that has a big impact on results.”

Marketing Technology News: Idle data is as good as no data

Key Capabilities:

  • Conversational Campaign Building: Marketers tell the agent what they want to achieve; the agent builds the campaign in minutes (versus hours or days usually required with legacy vendors).
  • AI Segmentation and Targeting: Loomi combines its knowledge of marketing use cases and a brand’s customer data to build the best fitting audience for the campaign.
  • Content Creation and Personalization: The agent generates campaign content using brand voice, customer data, and intent signals, so every email or message reads as if it were built for the person receiving it, not the segment they sit in.
  • Journey Orchestration and AI Timing: Behavior-triggered automations are powered by real-time signals, with AI determining the optimal message and moments to reach each individual.
  • Built-In Guardrails and Security: Every campaign remains reviewable and adjustable. Teams stay in control while agents handle the heavy lifting, backed by enterprise-ready privacy and security features including audit trails, GDPR compliance, and granular access roles.

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Zoom Launches ZoomMate: the first AI Teammate Built to Turn Conversations into Completed Work

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Globe Newswire
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Movable Ink Launches Programmatic CRM With AI Agents for Personalized Content Creation and Customer Engagement

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  • Generally available today, ZoomMate combines agentic search, AI-generated presentations and deliverables, and automated execution in Salesforce, Jira, Slack, ServiceNow, and more

Zoom Communications, Inc. (NASDAQ: ZM) announced the launch of ZoomMate, an agentic AI work surface to help people move from workplace conversations to execution without losing context along the way. Built on Zoom’s system of action vision announced in March, ZoomMate connects live conversational context to agentic search, workflow execution, custom agents, and AI content creation.

ZoomMate helps users overcome the friction introduced by fragmented tools and incomplete workflows by surfacing information across Zoom and connected business systems, creating deliverables from meeting and enterprise context, and coordinating follow-through across workflows without switching tools. This shift reflects Zoom’s long-term vision for a system of action that moves conversations into completed work.

“What drew me to Zoom was a simple truth: no other company sits where Zoom sits — at the center of every conversation where work decisions get made,” said Russell Dicker, chief product officer at Zoom. “ZoomMate is built on this insight. Before, during, and after the meeting, ZoomMate connects what was decided to what needs to happen next across every system where your work lives.”

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“The market is moving away from isolated AI helpers and toward tools that can better connect decisions, data, and workflows across an organization,” said Melody Brue, vice president and principal analyst at Moor Insights & Strategy. “Many AI offerings operate on the edges of work, with limited access to the real-time context affecting decisions. ZoomMate approaches this differently because it sits inside the conversations where those decisions unfold. This can give it live business context and help make its recommendations more grounded in the work that teams are actually doing.”

Marketing Technology News: Idle data is as good as no data

ZoomMate capabilities: Search, orchestrate, and complete

ZoomMate introduces advanced agentic AI capabilities that help teams move from insight to completion.

Agentic Search: Bring enterprise knowledge into every conversation

  • ZoomMate helps users search across Zoom, the web, and third-party systems to find the most relevant information for a project, account, ticket, policy, or business question.
  • By connecting to data sources such as ServiceNow, Salesforce, and Workday, and indexing across users’ integrated enterprise systems, ZoomMate can surface information from enterprise files, including customer records, open issues, service tickets, knowledge articles, project updates, files, and other business content.
  • Relevant context from Zoom Meetings, Phone, Chat, and other connected collaboration platforms — including Google and Microsoft — can be directly integrated into the flow of work, so users always have what they need without switching tools or breaking focus.
  • Results are grounded in the organization’s connected knowledge and designed to respect enterprise access controls, permissions, and governance.
  • Unlike enterprise search tools that index documents alone, ZoomMate connects the files, the records, and the conversations behind them.

Orchestrate: Coordinate follow-through across teams, apps, and systems

  • ZoomMate’s agentic layer enables proactive coordination and execution across systems, combining AI workflows with intelligent agents that can act, learn, and adapt within enterprise environments.
  • Agents can monitor ongoing projects, identify next steps from meeting context, and automatically initiate follow-up actions, ensuring continuity from conversation to completion.
  • Coordinates real-time task execution across meetings, apps, and systems to turn recurring processes into repeatable workflows.
  • Schedules events in Google Calendar or Microsoft Outlook and routes requests to appropriate systems.
  • Updates records, creates follow-up tasks, drafts customer communications, and triggers onboarding or support workflows.
  • Reduces handoff gaps by connecting conversational context with execution.

Complete: Turn meetings and enterprise context into finished deliverables

  • ZoomMate turns meetings into finished work, automatically creating presentations, documents, spreadsheets, reports, and project plans from meeting conversations and enterprise context so teams can move from discussion to execution faster.
  • Leveraging Zoom’s AI Productivity Suite, ZoomMate can update deliverables as decisions evolve, keeping plans, documents, and other outputs current in real time without manual syncing.
  • Unlike AI tools that solely rely on prompts or manual context, ZoomMate understands what was discussed to generate grounded, relevant outputs directly from meeting context, delivering content in the form of presentations, documents, and spreadsheets.

How teams can use ZoomMate

ZoomMate integrates into existing team workflows to provide real-time assistance and continuity from the first meeting to the final deliverable. By connecting conversational context with enterprise data, teams can automate repetitive administrative tasks and focus on high-value execution.

  • Knowledge workers: Users can ask ZoomMate to pull key information from Google Docs, open Jira issues, and surface recent Slack discussions before a meeting starts. Then, they could ask ZoomMate to manage and schedule events in Google Calendar or Outlook without having to hunt down each person’s availability. And finally, ZoomMate can help users track down specific information across various documents and data sources, such as Google Drive and SharePoint, for project updates, while using the conversation as the source of truth.
  • Sales teams: ZoomMate can retrieve account details from Salesforce before a call, update opportunity records immediately after, and draft follow-up proposals using the meeting transcript, without the rep switching applications.
  • Product and engineering teams: ZoomMate can pull project background from Google Docs, identify open Jira issues, surface relevant discussions from collaboration tools, and turn action items into structured plans or status updates that reflect the latest decisions.
  • HR and operations teams: ZoomMate can answer general policy questions from connected knowledge bases, route employee requests to the appropriate system, and automatically trigger onboarding workflows when a new hire’s start date is confirmed.

Conversations as the orchestration layer for modern work

As AI becomes embedded across workplace software, the next challenge is not simply generating more content or summarizing more meetings — it is helping teams complete the work that conversations create. Zoom believes that conversations are the context layer for modern work because they capture decisions, intent, approvals, objections, and next steps that drive meaningful business outcomes.

ZoomMate is built around that idea. By connecting conversational context with enterprise systems and agentic execution, ZoomMate helps teams move from discussion to action without rebuilding context across disconnected tools. It reflects Zoom’s broader platform vision: a conversation-centric system of action where live collaboration becomes completed work.

ZoomMate is available today for online and direct customers in North America, starting at $20 per user per month with included AI credits. Availability for additional industry verticals and regions, including EMEA and APAC, is expected to roll out later this year.

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MMDSmart Accelerates Global Growth, Doubling Its Workforce with Double Digit CAGR

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MMDSmart Accelerates Global Growth, Doubling Its Workforce with Double Digit CAGR

MMDSmart communications platform logo

Global communications technology company expands to 300 employees across ten countries as enterprise demand for AI-powered omnichannel messaging surges

MMDSmart, a global provider of AI-powered voice and messaging solutions, announced yearly double digit CAGR, alongside doubling its global workforce to 300 employees over the past 3 years. The company attributes the expansion to accelerating demand for secure, high-performance cloud communications infrastructure across telco, financial services, gaming, travel, and eCommerce.

The growth reflects a shift in how enterprises of all sizes manage customer communications at scale. As businesses move deeper into digital channels, demand has intensified for customer communications infrastructure capable for authentication, marketing campaigns, personalization, and real-time service interactions. MMDSmart has spent nearly two decades building that infrastructure, earning the trust of global Tier-1 operators and enterprises worldwide.

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“The communications industry is going through a fundamental shift,” said Arie Frenklakh, CEO of MMDSmart. “AI is the foundation of efficient customer communication at scale. Our AI tools are designed to enhance our clients’ business performance, not to replace people. We’ve been building toward that for years; focused on our customers’ success and ensuring our platform and teams’ AI transformation readiness. The growth we’ve seen is a result of our agility and ability to customize customer centric solutions. The bigger opportunity is still ahead.”

Over the same period, MMDSmart has doubled its engineering team developing AI-powered cloud communications products. That investment in product and engineering capacity, across offices in Israel, Kyiv, Sofia, Munich, and the UAE, is the foundation for the company’s next phase of growth. MMDSmart continues to hire across all experience levels.

Marketing Technology News: Cross-Department Collaboration with Marketing Workflow Automation: Enhancing Alignment Between Sales, Customer Service, and Marketing Teams

Enterprise spending on AI-powered communications infrastructure shows no sign of slowing. MMDSmart is expanding its platform capabilities in 2026 to meet that demand, with a focus on deeper AI integration across its voice and MessageWhiz messaging products and broader coverage for enterprise clients operating across multiple markets simultaneously.

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Global Mofy AI Limited Applies to Join Snowflake Partner Network to Advance Digital Content Data Ecosystem

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Global Mofy AI Limited Applies to Join Snowflake Partner Network to Advance Digital Content Data Ecosystem

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Global Mofy AI Limited (the “Company” or “Global Mofy”) (Nasdaq: GMM), a generative AI-driven technology solutions provider engaged in virtual content production and the development of 3D digital assets, today announced that it has applied to join the Snowflake Partner Network (SPN), part of Snowflake’s global AI Data Cloud ecosystem.

The application reflects Global Mofy’s continued efforts to expand its global technology ecosystem and strengthen its digital content data capabilities. As demand for AI-powered content creation, high-quality digital assets and scalable data infrastructure continues to grow, Global Mofy is focused on building more efficient, secure and intelligent solutions for customers across film, television, gaming, digital cultural tourism and other digital content sectors.

Marketing Technology News: MarTech Interview with Theresa Pham, Head of Product @ Wayvia

Global Mofy has developed capabilities across virtual content production, high-precision 3D digital asset creation and generative AI technology. By aligning its industry resources, production experience and digital asset capabilities with leading cloud and data ecosystems, the Company aims to further enhance the management, utilization and commercialization of digital content data.

Through its broader ecosystem strategy, Global Mofy plans to explore opportunities to develop integrated digital content data solutions designed to support data governance, intelligent asset management, AI-assisted production workflows and scalable deployment across multiple commercial scenarios.

Marketing Technology News: Idle data is as good as no data

“This initiative marks another step in Global Mofy’s global ecosystem strategy,” said Wenjun Jiang, CTO of Global Mofy. “We believe that the future of digital content will be increasingly driven by intelligent data infrastructure, high-quality digital assets and AI-powered production capabilities. Global Mofy will continue to strengthen its technology ecosystem and deliver more efficient, secure and intelligent digital content solutions to customers worldwide.”

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Shopper Receptivity to In-Store Advertising Hits an All-Time High, per Grocery TV Research

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Shopper Receptivity to In-Store Advertising Hits an All-Time High, per Grocery TV Research

Grocery TV's In-Store Retail Media Platform Surpasses 6,500 Stores as Company Unveils New Brand Identity | The AI Journal

New research finds 62% of shoppers have purchased directly from an in-store ad, with receptivity growing significantly across every major store zone since 2023

Grocery TV, the leading in-store retail media platform, released its 2026 In-Store Shopper Perception Report, a comprehensive study of how American grocery shoppers feel about in-store advertising across every major zone of the grocery store. Co-published with Andrew Lipsman, founder & independent analyst at Media, Ads + Commerce, the report surveyed more than 1,000 grocery shoppers on in-store media receptivity, shopper behavior, and creative preferences.

The findings show that in-store retail media has reached a new level of shopper acceptance and effectiveness. Nearly two-thirds (62%) of shoppers say they have purchased a product directly after seeing it advertised on an in-store screen, while receptivity increased significantly across every major store zone compared to Grocery TV’s 2023 study.

The research also found that 95% of grocery shoppers make at least half of their purchase decisions in-store, reinforcing the store’s role as one of the most influential moments in the path to purchase.

Marketing Technology News: MarTech Interview with Lee McCance, Chief Product Officer @ Adverity

Key findings from the report include:

  • Receptivity to in-store media is up across the board. Front-end acceptance jumped from one-third of shoppers to just over half since 2023 for a 23-point increase. The acceptance of screens is consistent across age groups, with just an 8-point gap between the most and least receptive. Millennial shoppers lead on overall acceptance (81%), followed by Gen X (80%), Gen Z (74%), and Baby Boomers (72%).
  • Placement determines perception. Entrance, checkout, deli, and pharmacy were favorable zones for at least 84% of shoppers. While all zones saw increased receptivity, formats that blocked products or crowded aisles scored significantly lower.
  • In-store discovery drives immediate action. 62% of shoppers report purchasing directly after seeing an in-store ad. Separate eMarketer research shows that in-store product discovery converts at nearly twice the rate of online discovery.
  • Context drives creative performance. Shoppers are 2.5x more likely to consider a brand when an ad fits the surrounding environment and products they’re shopping near. 86% say contextually relevant ads on endcaps, or the displays at the end of aisles, are important to their shopping experience.

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“With national and regional grocers launching and expanding digital screen networks, in-store retail media is finally reaching a long-awaited inflection point,” said Andrew Lipsman, independent analyst, Media, Ads + Commerce. “This research shows consumers are growing more receptive to in-store advertising, and that it can be overwhelmingly CX-positive for retailers. In fact, the majority of digital surfaces are either no-risk or low-risk — with store entrance, checkout, deli, and pharmacy among the highest performers.”

“The most effective in-store media strategies are built around the realities of how people actually shop,” said Marlow Nickell, co-founder and CEO, Grocery TV. “The formats shoppers respond to best deliver value in moments where shoppers are already engaged. When done thoughtfully, in-store media becomes part of the shopping experience rather than an interruption to it. For retailers and brands, this report is a blueprint for building in-store media experiences shoppers actually welcome.”

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Assertive Yield Partners with The Media Trust to Strengthen Ad Quality & Publisher Revenue

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Assertive Yield Partners with The Media Trust to Strengthen Ad Quality & Publisher Revenue

Assertive Yield Triples Revenue in 2022 & Expands Leadership Team

Assertive Yield, the AI-powered yield management and optimisation platform for the programmatic supply side, today announced a strategic partnership with The Media Trust, a leader in Digital Trust & Safety for publishers, adtech platforms, and advertisers.

The partnership is designed to help publishers protect their audiences from harmful, unwanted, or low-quality ad experiences while preserving revenue performance and operational control. As programmatic advertising grows more complex, publishers need technology that supports monetisation without compromising user trust, brand reputation, and bottom line.

Through this collaboration, Assertive Yield and The Media Trust will help publishers bring ad quality, digital trust, and operational autonomy into a more connected workflow. Publishers will gain stronger visibility into how demand partners, creatives, and ad experiences impact both revenue and audience trust.

Marketing Technology News: MarTech Interview with Theresa Pham, Head of Product @ Wayvia

“Publishers should have the infrastructure, data, and tools to operate independently and stay in control of their future,” said Nils Lind, CEO and Founder of Assertive Yield. “Ad quality is now part of that mission. By partnering with The Media Trust, we are helping publishers protect their audiences, improve transparency, and support a cleaner, more sustainable digital advertising ecosystem.”

A Unified Front for Ad Quality

The partnership combines Assertive Yield’s AI powered yield management and optimisation capabilities with The Media Trust’s advanced malvertising prevention and digital governance. Together, the companies empower publishers to:

Protect audience trust by detecting harmful, disruptive, or unwanted ad experiences.

Preserve revenue by identifying quality issues that may impact monetisation, demand relationships, or long-term audience value.

Maintain control with clearer visibility into ad quality risks across the programmatic supply chain.

Operate more efficiently by helping ad operations and revenue teams detect, understand, and act on issues faster.

Marketing Technology News: Idle data is as good as no data

“Publishers should not have to choose between monetisation and consumer safety,” said Leon Gurevich, CRO at The Media Trust. “Assertive Yield’s independent and publisher-first approach makes this partnership a strong fit. Together, we can help publishers protect revenue, improve ad quality, and create safer digital experiences.”

The partnership reflects Assertive Yield’s commitment to empowering the supply side with independent, agnostic, and unbiased technology that helps publishers maintain control, grow sustainably, and focus on their core business.

Founded in 2019 by Nils Lind, Assertive Yield is a publisher-side revenue intelligence solution purpose-built by publishers for publishers, for yield management, optimisation, and traffic shaping. Assertive Yield helps digital publishers and ad networks like Perion, Enthusiast Gaming, and LADbible Group to analyse and optimise advertising monetisation strategy by showing in real-time their first-party data, from all revenue streams, and with undisclosed granularity that generates great opportunities for every premium publisher. For more information visit: https://www.assertiveyield.com/

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GetMentions AI Launches YouTube Mentions to Help Brands Appear in AI Answers

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Globe Newswire
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GetMentions AI Launches YouTube Mentions to Help Brands Appear in AI Answers

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New service helps brands get featured on relevant YouTube channels through managed review, comparison, explainer, and list-style video placements.

GetMentions AI, an AI visibility and brand mention platform, today announced the launch of YouTube Mentions, a new service that helps brands get featured on relevant YouTube channels connected to AI search visibility.

As AI platforms increasingly rely on a wider range of sources to generate answers, YouTube videos and channel content are becoming part of the discovery layer for many categories. Product reviews, comparison videos, tutorials, explainers, and list-style videos can influence how brands are discovered, evaluated, and recommended.

Marketing Technology News: MarTech Interview with Theresa Pham, Head of Product @ Wayvia

With YouTube Mentions, GetMentions AI helps brands move beyond tracking visibility and take action on the sources shaping AI answers. The platform identifies where a brand is missing, where competitors are already present, and which YouTube channels may be relevant for managed creator placements.

“AI visibility is no longer shaped only by articles, listicles, reviews, and community discussions,” said Anirudh Agarwal, CEO of GetMentions AI. “YouTube is becoming an important source layer too. If a channel is influencing how people and AI platforms understand a category, brands need a way to evaluate that opportunity and get featured in the right context.”

Marketing Technology News: Idle data is as good as no data

The new service allows brands to request managed YouTube placements across formats such as product reviews, top-list videos, comparison videos, tutorials, and explainer videos. GetMentions AI handles creator discovery, outreach, pricing coordination, briefing, and placement management.

The launch expands GetMentions AI’s execution layer, which already helps brands act on AI visibility gaps through existing-page mentions and new editorial placements. Backed by access to over 192,000 placement opportunities across websites and YouTube channels, the platform is designed to help brands turn AI visibility intelligence into measurable brand presence.

“Most platforms stop at showing where a brand appears or does not appear,” Agarwal added. “Our focus is different. We help brands understand the sources behind AI answers, find the gaps, and get mentioned where it matters.”

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Infobip Releases White Paper to Guide Enterprise Voice AI Strategies

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Business Wire
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Kyzuvex Officially Launches AI Virtual Livestream Commerce Ecosystem, Enhancing Global One-Stop B2B and Supply Chain Services

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“Future-Proofing Your Investment in Voice AI: A Strategic Guide for Enterprises” leverages market intelligence to underscore Voice AI’s value for various organizational needs and inform modern communications strategies

Global AI-first cloud communications platform Infobip has released a white paper developed in partnership with global technology analyst firm Omdia, which analyzes the progression of Voice AI in modern communication. The white paper, “Future-Proofing Your Investment in Voice AI: A Strategic Guide for Enterprises,” aims to inform enterprise leaders on best practices for deployment to uplevel customer experiences, as well as future-proofing their Voice AI investments.

Voice AI adoption has seen significant growth on a global scale, with the market expected to reach $36 billion by the end of 2026. As organizations continue to progress toward AI maturity, they are increasingly facing integration complexities, security and privacy concerns, and fragmentation across multiple vendors. The Voice AI white paper provides enterprise decision makers with insight on how to make the most of their Voice AI investments and an in-depth understanding of its business value in addressing diverse organizational needs.

Marketing Technology News: MarTech Interview with Theresa Pham, Head of Product @ Wayvia

“Voice AI is much more than voice bots that autonomously handle routine customer queries, ranging from multilingual support tools for reaching global audiences to more human-like text-to-speech, speech-to-text, and direct speech-to-speech capabilities”, said Mijo Soldin, Vice President of Telecom Strategy and Partnerships at Infobip. “With AI now established as a business necessity, organizations need deeper market insight on how these solutions feed into their bottom line. That’s why we chose to collaborate with Omdia on this research: to help leaders understand the growth of Voice AI adoption and its role in shaping customer relationships so they can develop modern CX strategies that amplify long-term loyalty.”

Marketing Technology News: Idle data is as good as no data

“Our clients rely on us to help them navigate how emerging technologies are shaping their industries, so they can take the lead in their markets while adapting to the ever-changing digital landscape”, said Brent Kelly, Principal Analyst at Omdia. “AI is clearly a game-changer for businesses today. Through our own research and our collaboration with Infobip, organizations are gaining the deep market insights needed to create AI-driven experiences that resonate with today’s end users. These consumers are increasingly using AI tools in their daily lives, including how they engage with business partners.”

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Coforge Launches Nexa Agentic AI Platform to Industrialize Intelligent Insurance Operations

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Opsera Launches VIBEshift to Move AI-Generated Applications from Prototype to Production with a Single Command

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Coforge Limited, an AI-native engineering services leader, announced the launch of ‘Nexa Agentic AI Platform’, a next generation insurance business platform designed for the global insurance industry, marking a significant advancement in how insurers operationalize AI to drive measurable business outcomes.

Nexa Agentic AI Platform is designed to help carriers extract greater value from their existing insurance platforms and accelerate time to market–without disrupting the core. Rather than replacing incumbent systems, it layers AI orchestration on top, combining Coforge’s decades of platform and insurance industry expertise within the guardrails of leading platform providers.

Its orchestration agents are fully modular and composable, allowing carriers to adopt targeted capabilities where impact is highest or deploy the full suite through an Insurance-in-a-Box model. The platform is built around human-in-the-loop oversight, with full auditability, measurable outcomes, and rich insurance industry intelligence embedded by design. Built on Coforge One AI platform, Nexa Agentic AI Platform embeds intelligence into core insurance workflows. It provides a marketplace of 30+ insurance AI assets spanning underwriting, claims, product development, customer service, and platform modernization.

Marketing Technology News: MarTech Interview with Theresa Pham, Head of Product @ Wayvia

“Nexa Agentic AI Platform brings together our AI engineering maturity and deep insurance domain expertise to help clients scale impact with confidence. Purpose-built for the global insurance market across Property & Casualty, Life & Annuities, and Specialty, as well as MGAs and intermediaries, it addresses critical industry challenges through a suite of integrated, production-grade capabilities,” said Rajeev Batra, EVP & Global Practice Head of Insurance, Coforge.

The ‘Nexa Agentic AI Platform’ introduces a marketplace of Insurance AI assets, anchored by six flagship orchestrators that span the insurance value chain:

  1. At the front end of underwriting, the AI-enabled Submission Center centralizes broker submissions and orchestrates data extraction, validation, and prioritization, enabling faster turnaround, reduced manual effort, and increased underwriting capacity by more than 30%.
  2. The Agentic State Rollout Factory automates rates, forms, and filings across jurisdictions, accelerating state launches while reducing cost and strengthening compliance enabling more than 25% faster realization of new revenue.
  3. The AI-enabled Product Rollout Factory streamlines the product lifecycle through agent-driven automation, enabling 30% faster launch timelines, improved quality, and greater responsiveness to regulatory changes.
  4. The Agentic AI Global Expansion capability provides a repeatable model for entering new markets, eliminating the need to rebuild configurations and regulatory frameworks for each geography.
  5. The Core Platform Modernization capability uses AI agents to decode legacy complexity, stabilize integrations, and automate regression, accelerating modernization with minimal disruption and reduce total cost of ownership by more than 30%.
  6. The Agentic Claims Triaging Center automates intake, triage, and routing while identifying fraud signals early, improving efficiency, decision accuracy, and adjuster productivity leading to more than 35% faster triaging and more straight through processing.

Marketing Technology News: Idle data is as good as no data

These capabilities are designed around key insurance personas including brokers, underwriters, claims adjudicators, and customer service agents, ensuring that AI augmentation is directly aligned to day-to-day decision-making and operational efficiency. Looking ahead, Nexa Agentic AI Platform will progressively tap into Insurance knowledge graphs, deepening its insurance-native reasoning across submissions, policies, claims and customer interactions as it is used.

Nexa Agentic AI Platform will serve as a cornerstone of Coforge’s insurance go-to-market strategy, enabling clients to scale AI adoption while keeping the current investments intact complying with the platform guardrails with confidence, accelerating outcomes, and build a sustained competitive advantage in an increasingly dynamic market.

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Addlly AI Named SuperAI Genesis Top 50 Startup, Strengthening Its Position as a Trusted Enterprise GEO Platform

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Addlly AI Named SuperAI Genesis Top 50 Startup, Strengthening Its Position as a Trusted Enterprise GEO Platform

Addlly AI

Addlly AI, an enterprise AI Search Visibility and Generative Engine Optimization (GEO) Platform, has been selected as part of the Genesis Top 50 Startup Cohort at SuperAI 2026. This recognition places Addlly AI among a global group of emerging artificial intelligence companies building solutions for enterprise adoption, AI Visibility, and the next era of AI-driven brand building and marketing.
SuperAI 2026, taking place in Singapore from 10-11 June 2026, is one of Asia’s leading AI conferences, bringing together founders, enterprises, investors, developers, policymakers, and technology leaders from across the global AI ecosystem. The Genesis Startup Competition is powered by OpenAI and Microsoft for Startups.

The next battleground for brands will not just be search rankings, but how they are understood, cited, and recommended by AI engines.”

— Tina Chopra, Co-Founder and CEO of Addlly AI

Addlly AI was recognized for its enterprise-grade AI Marketing Agents that help organizations improve visibility across both traditional search engines and emerging AI search platforms. Its flagship GEO Audit Agent enables brands to understand how they appear across AI-generated answers, identify citation gaps, benchmark competitors, and act on the recommendations through Addlly AI’s execution agents.

Marketing Technology News: MarTech Interview with Theresa Pham, Head of Product @ Wayvia

“We are honoured to be recognized among the Genesis Top 50 startups at SuperAI 2026,” said Tina Chopra, Co-Founder and CEO of Addlly AI. “The next battleground for brands will not just be search rankings, but how they are understood, cited, and recommended by AI engines. Enterprises need a trusted GEO platform that can show them where they stand today, what needs to change, and then help them execute at speed. Addlly AI is building that bridge from AI visibility to business impact.”

Generative Engine Optimization, or GEO, is becoming a critical priority for enterprise marketing teams as consumers increasingly use platforms such as ChatGPT, Google AI Overviews, Perplexity, Gemini, and other conversational AI systems to discover products, services, and trusted information. Unlike traditional search, AI visibility is shaped by citation quality, structured content, entity clarity, topical authority, product information, and the consistency of a brand’s digital footprint across multiple sources.

Marketing Technology News: Idle data is as good as no data

Addlly AI’s GEO Audit Agent was built to address this shift. The platform helps enterprises measure AI search visibility, analyze citation patterns, understand why certain sources are being referenced, identify content and schema gaps, and create a prioritized roadmap for improvement. Beyond audit and reporting, Addlly AI’s execution agents help marketing teams create and optimize the content needed to strengthen AI visibility across blogs, product pages, social media, newsletters, landing pages, and other digital assets.

This audit-to-execution model is a key differentiator for Addlly AI. While many platforms focus only on tracking mentions or monitoring AI search results, Addlly AI helps enterprises understand what is missing, what needs to be fixed, and how to act on those recommendations through secure, brand-trained AI agents.

Today, Addlly AI supports more than 35 enterprise customers across multiple industries and is trusted by brands like Johnson’s Baby, Aveeno, Stayfree, MetLife, Organic India, Kenvue Group, Shiseido, Tata Sampann, and other global organizations seeking to improve AI visibility and scale marketing content operations through AI-powered workflows. Customers have described Addlly AI as one of the best GEO platforms for enterprises because it goes beyond AI search monitoring to deliver citation forensics, competitive benchmarking, sentiment analysis, actionable recommendations, and execution through brand-trained AI agents.

The recognition from SuperAI comes as enterprises worldwide accelerate AI adoption while seeking greater transparency, governance, and measurable outcomes from their AI investments. For marketing leaders, the challenge is no longer only creating more content. It is ensuring that the right content is discoverable, trusted, and cited across the new AI-led search environment.

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Optimove Launches Optimove AI, the Only Marketing AI Suite That Brings AI Everywhere the Marketer Works

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Globe Newswire
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Optimove Launches Optimove AI, the Only Marketing AI Suite That Brings AI Everywhere the Marketer Works

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Optimove AI works in every place a Positionless Marketer does their work. Inside the platform. Outside it on tools such as Claude. And on top of it through custom apps. Marketers can start anywhere

Optimove, the creator of Positionless Marketing, launched Optimove AI, the only marketing AI suite that works in three places: inside the platform with Native AI, outside the platform through the Optimove MCP (Model Context Protocol), and on top of the platform through Optimove Custom Apps.

Native AI brings intelligence inside the Optimove platform in the form of AI decisioning, creation, and analysis agents. The Optimove MCP connects to AI tools like Claude and ChatGPT, so marketers can access Optimove data, analytics, intelligence, and execution capabilities directly inside the AI surface they work on. Custom Apps deliver tailored solutions on top of the platform for client-specific business needs.

Whichever entry point a marketer chooses, the platform’s execution layer holds the work together, with full governance, frequency rules, and approvals intact. Marketers can start anywhere.

Marketing didn’t just adopt AI. It reorganized around it.

AI is no longer a tool marketers occasionally visit. It is the surface they work on. The same marketer can move from Claude for ideation, to their CRM platform for execution, to a custom app their team uses for analysis. Work is no longer tied to a seat, a role, or a screen. It flows wherever the marketer goes.

Most marketing platforms haven’t kept up. AI has been bolted on, not built in. A May 2025 study commissioned by Optimove, “Forrester Opportunity Snapshot AI: Accelerating Marketing Impact Through AI And Agile Workflows,” found a clear gap between ambition and execution: only 39% of marketers used AI for content creation, 37% for campaign workflows, and just 14% for building audience segments.

A year later, Gartner’s May 2026 data tells the same story. CMOs allocate 15.3% of marketing budgets to AI, yet only 30% of marketing organizations report mature AI readiness. Budget is there. Execution is still not.

Optimove AI is built for the world as it actually is. The original Optimove Positionless Marketing Platform released the marketer from the assembly line empowering any marketer to do any task. Optimove’s AI Decisioning Studio extended that to managing intelligent agents. Now the promise extends to AI itself. Any AI can do any task by speaking to Optimove. The Positionless Marketer stays at the center. The work moves with them.

Marketing Technology News: MarTech Interview with Theresa Pham, Head of Product @ Wayvia

Three AI Pillars 

1. Native AI brings intelligence into the Optimove platform. For the marketer who wants a turnkey CRM marketing platform with AI built in, Native AI delivers it out of the box. AI agents handle decisioning, content creation, insights, and optimization across marketing strategy and execution. For example, Optimove’s AI Decisioning Studio lets the marketer define a strategy, activate AI decisioning agents for journey, offer, send time, and content, receive optimization suggestions, and improve campaign performance from one central hub.

Use case: A marketing team running Black Friday campaigns can use AI Decisioning Studio to align agents across touchpoints to one revenue goal, monitor combined performance in real time, and optimize across segments, channels, and offers from one hub.

2. The Optimove MCP extends Optimove into the AI tools marketers already use. For the marketer working in Claude, ChatGPT, or other AI surfaces, the MCP integrates instantly. The marketer prompts the AI in the surface they already use. The AI calls Optimove. The platform ships the work, with full governance preserved.

Use case: A CRM manager can prompt Claude to identify high-value customers likely to churn in the next two weeks, build an audience with multi-channel preference data, draft personalized email and SMS campaigns, and generate the campaign in Optimove ready for review and activation.

3. Optimove Custom Apps turn Optimove into a platform for client-specific business needs. These applications are built by Optimove AI engineers and sit on top of the platform when no off-the-shelf product covers the workflow. Custom Apps deliver a tailored solution built on top of Optimove’s data, creative, and optimization power.

Use case: A merchant managing multiple brands can describe a campaign in plain English, such as “push excess inventory for women’s jeans to past buyers and shoppers who searched for jeans.” A Custom App then maps it into audience logic, segment sizes, suggested content, and impact estimates in minutes.

The three pillars are not exclusive choices. A single marketer can use all three. A team can use them in parallel. The execution layer underneath holds the work together regardless of where it began.

Marketing Technology News: Idle data is as good as no data

Start Anywhere 

Optimove AI is built around a single principle. The three pillars enable any marketer to start their work wherever they already are. The data analyst with a query in Claude. The creative drafting content inside Optimove with AI Content Decisioning. The optimization specialist reviewing a Custom App built for their team. The CMO asking ChatGPT for a campaign performance debrief. And the CRM lead who is moving between all three in the same week.

“Positionless Marketing enabled any marketer to do any task. Optimove AI extends that capability across AI inside our platform, outside it, and on top of it via custom apps. The marketer can start anywhere and stay in control while moving at the speed of the customer with personalized, relevant, timely interactions. What was impossible for marketers and teams yesterday is possible today,” said Pini Yakuel, CEO of Optimove. “That is what it means to be Positionless. To do anything and be everything.”

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Siemens powers the next phase of industrial AI with Intelligence Center X

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PRNewswire
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Snowflake and Collibra Expand Integration to Bring Governed Business Context and Semantics Across the Snowflake AI Data Cloud

Welcome to Siemens Home Appliances International

  • Embeds AI agents alongside people to scale industrial AI into a hybrid workforce at production level, enabling organizations to move beyond pilots and operate with speed, control and consistency

  • Connects industrial data, workflows and AI agents in one governed system, unifying enterprise data and lifecycle context, empowering teams to collaborate with AI in context-rich, human-in-the-loop processes across the business

  • Delivers measurable operational impact at scale by reducing manual effort, accelerating issue resolution and improving decision-making with results proven in real-world deployments

  • Customers are already delivering measurable results including a 95 percent reduction in manual effort and 85 percent faster production issue resolution

  • Siemens Intelligence Center X, part of Siemens Xcelerator, helps customers scale digital transformation with production-ready industrial AI

Siemens announced Intelligence Center X, new industrial AI orchestration software designed to help organizations turn industrial AI from isolated experimentation into scalable, real world business impact through a hybrid workforce where people and AI agents work together with shared context, workflows and lifecycle intelligence.

By connecting data, models and workflows on a single governed foundation, Intelligence Center X enables companies to deploy AI-driven applications and agents faster, with full traceability and control. Intelligence Center X combines the Mendix™ low-code platform with Siemens’ Graph Studio and AI Studio software from the Rapidminer® portfolio to create the enterprise context, business-specific lifecycle intelligence, and orchestrated agents and intelligent applications businesses needed to turn AI ambition into real value gains. Across industries, companies have invested in AI but are struggling to scale beyond pilots because data is fragmented, governance is inconsistent, and AI insight does not connect to real workflows. Intelligence Center X is designed to close that gap as the production-ready system that orchestrates people and AI agents together, on top of what enterprises already own, with full auditability and policy controls.

“Intelligence Center X helps organizations move beyond AI experimentation by embedding intelligence directly into everyday workflows, where it can be governed, scaled and trusted. When AI is connected to real business processes and enterprise data, it delivers measurable impact at scale,” said Tony Hemmelgarn, president and CEO, Siemens Digital Industries Software. “AI only delivers real value when it is embedded in how work gets done. Intelligence Center X brings together enterprise data with industrial ontologies and Siemens’ knowledge graph capabilities in a governed environment to empower organizations to apply AI with confidence and achieve consistent, measurable outcomes.”

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Customers already delivering measurable outcomes
Vivix Vidros Planos, Brazil’s leading flat glass manufacturer, deployed a portfolio of nearly 30 Mendix applications connecting OT and IT data across SAP S/4HANA, Siemens Industrial Edge, and Snowflake. Results include an 85 percent reduction in production issue resolution time, 6,000 hours of manual work recaptured in a single year, and customer complaint resolution compressed from five days to under one. Vivix’s AI-powered Virtual Engineer, built on Intelligence Center X with Amazon Bedrock and Claude from Anthropic, is now advancing toward a full digital twin strategy using the multi-agent capabilities in Intelligence Center X.

“With this system, we are ready for the agentic future, enabling our people and AI to work together in a more connected and productive way,” said Aristóteles Terceiro Neto, industrial transformation manager, Vivix Vidros Planos. “We are already seeing significant enterprise value, including up to 4x faster resolution times in quality-related investigations, as well as measurable improvements in how we support decision-making on the shop floor.”

“Axiz is among the first enterprises globally to deploy Intelligence Center X as a full agentic enterprise system. Integrating the AI/ML modeling capabilities, application development and process orchestration for an end-to-end pricing use case, Axiz achieved a 95 percent reduction in manual effort and 100 percent accuracy in data ingestion,” said Andrew Moodley, chief cloud, digital and marketing officer, Axiz. “Axiz is the first customer globally to integrate Intelligence Center X for our pricing use case. AI/ML development acts as the brain, while the application development and orchestration capabilities act as the body.”

Marketing Technology News: Is the Traditional CDP Already Out of Date?

Building the data foundation for agentic execution
Intelligence Center X is designed to connect industrial data across engineering, manufacturing, supply chain and service into shared lifecycle intelligence that AI can act on. As part of the Siemens Xcelerator portfolio, Intelligence Center X is designed to work alongside existing enterprise and operational data solutions to enable agentic workflows to operate with trusted data across the broader ecosystem. This approach is supported by Siemens’ data and cloud ecosystem partners.

“We are genuinely excited about the new capabilities Intelligence Center X brings to Snowflake customers,” said Amy Kodl, senior vice president, Worldwide Alliances and Channels, Snowflake. “It works with their existing Snowflake data, complements capabilities like Snowflake Semantic Views and Cortex AI and shares our relentless focus on being easy, connected and trusted.”

Three deployment models 
Intelligence Center X deploys in three patterns: layered on Siemens AI products to amplify lifecycle intelligence with out-of-the-box industrial ontologies; as a standalone platform for asset-intensive organizations running other OT vendors; or as a pure agentic enterprise platform for financial services, insurance, healthcare, government, and retail organizations that need production-grade AI execution with full auditability.

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Market Logic Network Builds AI Search Visibility Systems for Modern Businesses

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MTS Staff Writer
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Market Logic Network Builds AI Search Visibility Systems for Modern Businesses

The company strengthens its SEO and AIEO capabilities to help businesses become more visible, credible, and discoverable across AI-powered search environments.

Market Logic Network LLC, an international business automation, CRM, marketing, AI, and digital systems company, announced the expansion of its AIEO and search visibility services to help businesses adapt to a new era of AI-powered search and digital discovery.

AI search is changing the way people discover businesses”

— Emil Brugal, Co-founder of Market Logic Network

As search engines and AI platforms become more conversational, businesses need more than traditional SEO. They need clear positioning, structured content, strong digital authority, and connected systems that help both people and AI understand who they are, what they offer, and why they are relevant.

Marketing Technology News: MarTech Interview with Theresa Pham, Head of Product @ Wayvia

Market Logic Network’s expanded AIEO service is designed to help companies improve visibility across traditional search engines, AI-generated answers, conversational search interfaces, and digital brand evaluation journeys.

The company’s AIEO framework focuses on the foundations that influence modern discoverability: SEO strategy, website structure, service page optimization, content architecture, press release strategy, entity-based brand positioning, internal linking, structured business information, and conversion-focused content development.

For Market Logic Network, AIEO is not treated as an isolated content tactic. It is part of a broader connected growth system that aligns website visibility, content strategy, CRM, marketing automation, lead generation, reporting, and sales follow-up.

This reflects the company’s core positioning: Market Logic Network turns disconnected tools, manual processes, and inconsistent follow-up into connected systems for efficiency, visibility, conversion, and scalable growth.

Marketing Technology News: Idle data is as good as no data

The expansion is especially relevant for small and mid-sized businesses, international companies, B2B service providers, ecommerce brands, and professional service firms that need stronger digital authority in an increasingly AI-influenced search environment.

Market Logic Network’s AIEO and search visibility services may include:

– AI search visibility strategy
– SEO and AIEO content planning
– Website and service page optimization
– Press release and authority-building campaigns
– Search-intent and answer-intent content development
– Entity-based brand positioning
– Internal linking and content architecture
– CRM-connected lead capture alignment
– Reporting and performance visibility

The objective is not only to increase traffic. It is to help businesses become easier to find, easier to understand, and easier to choose when prospects search, compare, ask AI tools for recommendations, or evaluate providers online.

With this expansion, Market Logic Network reinforces its role as a premium international partner for companies preparing for the future of search, brand discovery, and AI-assisted digital growth.

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

Space Tree and Jurin AI Partner to Launch AI-Powered Workplace Concierge

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MTS Staff Writer
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Space Tree and Jurin AI Partner to Launch AI-Powered Workplace Concierge

SPACETREE

Jurin AI’s multi-agent technology will power Space Tree’s next-generation workplace service, set to launch in June 2026

Space Tree, a company developing and operating workspace platforms, and Jurin AI, one of the fastest-growing AI startups globally and a leading contender to become Japan’s first decacorn, today announced a strategic partnership to launch AI Concierge, an AI-powered reception and phone agent for modern workplaces.

AI Concierge is scheduled to launch in June 2026. The service will be developed by Space Tree and powered by Jurin AI’s multi-agent technology. It is designed for enterprises, virtual office users, coworking spaces, rental offices, and workplace operators that need to manage calls, reception work, customer guidance, and first-line inquiries at scale.

Workplace operations are becoming more distributed. Companies now communicate with customers, employees, tenants, members, and partners across phone, email, chat, LINE, Slack, Chatwork, Google Chat, Microsoft Teams, and other channels. At the same time, the information needed to answer those inquiries is often spread across manuals, PDFs, internal documents, systems, and individual employees.

Marketing Technology News: MarTech Interview with Theresa Pham, Head of Product @ Wayvia

AI Concierge gives businesses an AI front desk that can answer and route inquiries, respond using company knowledge, support phone and chat-based workflows, and standardize communication quality across teams and locations. The service is designed to reduce the operational burden of reception and phone work while helping businesses respond faster and more consistently.

Through the partnership, Space Tree will combine its workplace platform and operational knowledge with Jurin AI’s AI agent technology. The companies will work together to develop, deploy, and scale AI Concierge for businesses that want to modernize how they handle calls, reception work, and day-to-day communication.

AI Concierge can support use cases including initial customer inquiries, visitor and reception guidance, after-hours call handling, multilingual first-line responses, and knowledge-based answers using company materials. For workplace operators, the service provides a way to improve responsiveness without adding new headcount or increasing operational complexity.

Marketing Technology News: Idle data is as good as no data

Based on existing results from Jurin AI deployments, AI Concierge can help businesses:
– Reduce phone and reception-related workload by up to 90%
– Compress monthly response work from 10–20 hours to less than 1–2 hours
– Achieve up to 20x ROI through lower labor costs and fewer missed inquiries
– Automate after-hours, multilingual, and first-line responses 24/7
– Standardize response quality and reduce dependence on individual staff members

By allowing AI Concierge to handle reception, phone answering, and initial guidance, human teams can spend more time on higher-value work such as customer service, sales, facility operations, and business improvement.

“Space Tree has expanded the diversity and flexibility of workplaces through system development. Going forward, we want to go beyond providing physical or virtual places to work. We want to solve the practical challenges of time and effort that businesses face every day. Our partnership with Jurin AI is an important step toward that vision. By combining workplace infrastructure with AI technology, we aim to build next-generation infrastructure that meaningfully improves the quality of work for business users.”
— Kazuki Nogi, Representative Director, Space Tree Inc.

“Jurin AI has been building AI agents to help companies reduce operational burden and solve the problem of fragmented information across the workplace. This partnership is important because it goes beyond improving phone answering efficiency. It connects the physical and virtual spaces where people work with the AI systems that support daily operations. By combining Space Tree’s workplace platform with Jurin AI’s multi-agent technology, we can create a new operating foundation that improves speed, quality, and user experience at the same time. Together, we will continue building toward a future where people can reclaim more time for the work that creates real value.”
— Rise Ooi, Founder and CEO, Jurin AI Inc.

Following the announcement, Space Tree and Jurin AI will continue joint development and validation ahead of the June 2026 launch. The companies also plan to develop customized AI Concierge deployments, industry-specific use cases, customer success stories, and expanded communication automation features and integrations.

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

Fotor’s AI Vibe Marketing Platform: Powering the Complete Visual Workflow

By
Business Wire
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0
Fotor's AI Vibe Marketing Platform: Powering the Complete Visual Workflow

Fotor

The marketing landscape is facing a critical bottleneck: visual production. While AI tools are abundant, they often function as disconnected point solutions that generate isolated images rather than cohesive brand assets.

Generating a single image is easy; generating a complete, million-dollar brand visual campaign that drives sales is a complex operational challenge.

Fotor, a trusted photo editor serving more than 800 million users worldwide for over a decade, addresses this operational gap with the launch of its AI Vibe Marketing Platform, a true game changer designed specifically to power a complete visual workflow for real business impact. It’s an end-to-end system designed to carry a brand’s visual identity through the entire production workflow, from first concept to final deliverable.

Marketing Technology News: MarTech Interview with Theresa Pham, Head of Product @ Wayvia

Beyond Point Solutions: The Vibe Marketing Approach

Powering more than 3 million visual creations daily, Fotor has identified a defining shift in modern marketing: visual identity is now a brand’s first impression. The sharp visual stops the scroll; the powerful vibe closes the deal.

Vibe Marketing represents an operational shift in how brands create, scale, and maintain visual identity. It means a brand no longer relies on fragmented software to patch together an identity. The brand’s unique aesthetic—its “vibe”—is embedded into the system. Every output, whether it’s a product image, a promotional banner, or a paid social creative, inherits that aesthetic automatically.

Marketing Technology News: Idle data is as good as no data

As a result, the brand doesn’t have to be rebuilt from scratch with every campaign. It travels with the workflow. From there, the platform dramatically accelerates the workflow, scaling and aligning that core identity across every piece of product imagery and marketing material at a fraction of traditional costs.

From Raw Photo to Revenue-Ready Asset

The Fotor AI Vibe Marketing Platform brings this to life through its Product Visuals and Growth Visuals hubs. A raw product photo can be transformed into a studio-quality image, placed in a lifestyle context, and formatted for various advertising channels while strictly adhering to predefined brand guidelines.

By focusing on workflow efficiency and breathtaking visual output rather than just generation, Fotor transforms visual production from a slow, expensive process into an agile, measurable driver of commercial success.

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

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