Home Blog Page 12

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

0
Opsera Launches VIBEshift to Move AI-Generated Applications from Prototype to Production with a Single Command

Opsera | HashiCorp Tech Partner

New autonomous deployment agent eliminates the last mile between AI-generated code and production-ready software.

Opsera, the leader in AI-powered software delivery, announced VIBEshift, a new autonomous deployment agent that turns AI-generated applications into production-ready software with a single command. VIBEshift lets developers, AI builders and enterprise teams eliminate the last mile between rapidly generated prototypes and secure, deployable applications running in production environments.

Generative AI has dramatically accelerated software creation, with tools like Claude, Cursor and Lovable enabling the creation of functional applications with unprecedented speed. Yet moving AI-generated applications into production remains complex. Teams still face manual processes to set up infrastructure, deployment pipelines, security controls and operational oversight.

VIBEshift operates directly within the developer workflow to autonomously analyze applications, provision infrastructure, and deploy production-ready code. It addresses the need for developers to move from prototype to production without waiting on operational teams.

Marketing Technology News: MarTech Interview with Haley Trost, Group Product Marketing Manager @ Braze

“AI has forever changed how software is created, but deployment remains a major bottleneck in software delivery,” said Kumar Chivukula, co-founder and CEO of Opsera. “Now, developers can generate working applications in minutes and transform them into secure, production-ready software without days of manual effort and specialized expertise. By eliminating that last mile to production, organizations can move from idea to production with Vibe-style simplicity and speed.”

VIBEshift executes deployments autonomously, from provisioning infrastructure and configuring authentication to validating deployments and performing operational checks. It manages CI/CD tasks traditionally handled by multiple teams and tools.

Key VIBEshift capabilities include:

  • Autonomous Deployment: Automatically provisions infrastructure and deploys applications to production-grade cloud environments directly from the IDE with a single command.
  • Built-In Security and Governance: Applies security controls, authentication and deployment policies throughout the deployment process.
  • Self-Healing Operations: Automatically identifies and remediates deployment failures to improve reliability.
  • Full Auditability: Maintains detailed deployment records and operational logs for governance and compliance requirements.
  • Deterministic Execution: Delivers consistent, repeatable deployment outcomes through policy-driven automation.

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

VIBEshift supports modern AI development workflows and integrates with leading IDEs, source code repositories and cloud platforms, enabling organizations to deploy applications with the tools and environments they already trust.

VIBEshift expands Opsera’s growing portfolio of AI-powered software delivery solutions, helping enterprises operationalize AI-driven development. Working alongside Opsera AppSec Agents, which automate security scanning, compliance validation and governance controls, VIBEshift helps teams move beyond software creation to secure, scalable deployment and governance of AI-generated applications.

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

Introducing Centerprise AI: The Agentic Evolution of Data Integration and Management

0
Introducing Centerprise AI: The Agentic Evolution of Data Integration and Management

Astera Logo

A trusted data foundation that operationalizes enterprise data for production-grade AI systems, reliable analytics & natural language access.

Astera announced the launch of Centerprise AI, the agentic evolution of its enterprise data management platform. Centerprise AI embeds a proprietary agentic harness across the data management stack, enabling data teams to design, test, and deploy data assets, warehouses, pipelines, models, and analytics in a single platform.

Centerprise AI supports structured sources such as databases, ERPs, and CRMs, as well as unstructured sources including documents, PDFs, presentations, images, videos, websites, portals, emails, and messages. It makes high-value business information accessible to people and AI systems through natural language, allowing data that was once difficult to extract, structure, label, and model to be operationalized at scale.

“AI has fundamentally expanded the universe of enterprise data that can be operationalized,” said Ibrahim Surani, Founder and CEO of Astera. “The idea behind Centerprise AI is simple: data at your fingertips.”

Marketing Technology News: MarTech Interview with Haley Trost, Group Product Marketing Manager @ Braze

Centerprise AI: The Enterprise Data Foundation for Trusted Analytics and AI

Centerprise AI embeds an AI harness across Astera Centerprise, Astera’s data integration and management platform first released in 2011. Teams can describe what they need through a document or conversation, and the agent helps generate the data models, pipelines, warehouse infrastructure, integration flows, and migration workflows required.

Why Teams Can Trust Centerprise AI

Centerprise AI is built to give teams the speed and flexibility of AI without losing control, governance, or reliability.

  • Conversational at design time, so teams can define what they need in plain language
  • Deterministic at runtime, so deployed workflows run consistently on approved metadata, schemas, and logic
  • Grounded in your business through AI Skills, so agents apply your logic, KPIs, domain terms, and analytical scenarios at runtime
  • Built for data control, with support for locally hosted models to address data residency needs

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

Every Part of the Data Stack is Now Agentic

Centerprise AI brings agentic capabilities across the data stack. In data warehousing, an agent reads requirements, profiles source systems, designs staging and dimensional models, and builds the pipelines that populate the warehouse. In data modeling, teams can design, review, and refine models through conversation before forward-engineering them to the database.

In data integration and migration, agents map sources to targets, handle schema differences, manage transformation logic, and track workflows end to end. In data transformation, teams can build complex pipelines without manual scripting. In data prep and analytics, users can ask questions in plain language, build dashboards, and get governed answers from structured and unstructured sources.

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

Horizon Media and Kartel Forge Strategic Partnership to Reunify Creative and Media through HorizonOS

0
Horizon Media and Kartel Forge Strategic Partnership to Reunify Creative and Media through HorizonOS

Horizon Media Reviews and Clients | DesignRush

Shared Intelligence System built on Adaptive AI and an Interoperable Ecosystem transforms how brands integrate creative, media, and performance

Horizon Media Holdings, parent company of the world’s largest independent media agency, announced a strategic partnership with Kartel, an AI-native creative engine focused on building brand-specific intelligence systems for marketing. The partnership integrates Kartel into HorizonOS, Horizon’s open operating system, enabling clients to see how creative execution connects to audience response and campaign performance in real time.

Traditionally, creative development and media execution operate in separate workflow: creative teams develop work, media teams activate it, and performance data arrives after the fact. This fragmentation slows learning and limits the ability to optimize creative based on what’s actually working in the market. The partnership is designed to break down that separation, creating a unified system where creative teams have visibility into performance data and can adapt future work accordingly.

Marketing Technology News: What is a Full Stack Marketer; What MarTech Matters Most to Full Stack Marketers?

“The conversation has moved beyond simply using AI to generate content,” said Kevin Reilly, CEO, Kartel. “What matters now is building creative systems that become more informed and effective over time. While much of the industry conversation has focused on automation, this partnership is about helping brands continuously learn from what resonates and apply those insights to future storytelling.”

Unlike general-purpose AI creative tools trained on broad datasets, Kartel builds custom models for each brand. The process involves incorporating visual identity, tone, historical performance, and audience data. These models are designed to improve within the context of a single brand rather than contribute to shared training systems.

“This partnership is about bringing creative instinct and audience intelligence closer together,” said John Koenigsberg, EVP, Platform Partnerships, Horizon Media Holdings. “HorizonOS was designed to help unify a fragmented ecosystem, and Kartel extends that vision into the creative process, helping ideas move more seamlessly from inspiration to production and performance.”

Kartel’s creative intelligence connects directly with HorizonOS’ Blu, Horizon’s marketing intelligence platform, and campaign performance data. This creates a feedback loop: creative output, media delivery, and audience response inform each other in real time. Creative teams see which executions drove engagement. Media teams understand which creative variations performed best. Future creative development reflects what actually worked.

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

The integration roadmap includes:

  • Direct connection between Blu audience intelligence and Kartel creative generation
  • Pilot programs spanning strategy, production, media, and performance optimization
  • Enterprise workflow integration across Horizon creative and media teams
  • Governance and operating frameworks for scaled client deployment

For clients, the alliance between Horizon and Kartel means faster creative development and better performance data visibility. The collaboration also allows both companies the ability to continuously improve creative work based on real campaign results, not theoretical AI optimization. Ultimately, this arrangement is about ownership: clients own their data, their creative intelligence models, and the insights generated from their campaigns.

“Kartel was built in direct response to the commoditization happening across AI creative,” said Roberto Alcazar, EVP, Managing Partner, One Horizon. “Too many systems optimize speed and output, which often leads to work that feels interchangeable. What matters more is how technology actually supports better creative thinking and execution. This approach lets teams move more fluidly from insight to idea to production to optimization, while keeping work grounded in real campaign needs. The result is stronger, more distinctive creative that performs in the market and solves brand problems and performance with greater precision.”

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

Doceree Recruits AI and Innovation Leadership from TripleLift and IPG Mediabrands, Naming Yesh Srinivasan Chief AI Officer and Graham Wilkinson Chief Innovation Officer

0
Doceree Recruits AI and Innovation Leadership from TripleLift and IPG Mediabrands, Naming Yesh Srinivasan Chief AI Officer and Graham Wilkinson Chief Innovation Officer

Doceree

The appointments deepen Doceree’s bench weeks before the July 14 industry release of Daily Command, the AI command centre for pharma brand teams

Doceree, the world’s first AI-powered operating system for healthcare marketing, announced the appointment of Yeshwanth ‘Yesh’ Srinivasan as Chief AI Officer and Graham Wilkinson as Chief Innovation Officer. Both leaders join at an inflection point for the company, as Doceree moves toward the July 14 industry release of Daily Command.

Daily Command functions as an AI command centre for pharma brands, surfacing real-time signals and recommending up-to-date strategies. A capability Doceree positions well beyond enterprise GPT tools. Doceree estimates the category against a global pharma-marketing software and services spend of more than $30 billion a year.

The appointments arrive on the heels of one of the most closely watched launches in healthcare marketing. Daily Command was co-built over the past quarter by 75 of the industry’s most senior brand and agency operators (the “Makers”) and unveiled at the inaugural Doceree Health Decode: The Makers Summit 2026 in New York on May 7. In June, it entered closed beta with four flagship manufacturers and agency partners, including Avalere Health and Deerfield, with the full industry release to follow on July 14 alongside the announcement of the Daily Command Marketplace launch partners.

Srinivasan and Wilkinson will own the two capabilities that determine whether a category-defining platform endures: the intelligence inside it, and the pace at which it reinvents itself.

Marketing Technology News: What is a Full Stack Marketer; What MarTech Matters Most to Full Stack Marketers?

A Chief AI Officer who has built AI at web scale

Srinivasan joins as Doceree’s first Chief AI Officer, bringing more than 18 years of building AI, machine learning, data science, and engineering organizations across medical imaging, computer vision, media, and adtech. Most recently, he served as Vice President of Data Science and Engineering at TripleLift, where he scaled the platform from under 100 billion to more than 500 billion ad requests per day and shipped computer-vision and generative-AI products for Connected TV. He has contributed to more than 20 patents and publications and advised acquisitions representing billions of dollars in enterprise value.

For Srinivasan, the move is also a return. “What I enjoy most is helping teams turn ambitious ideas into products that create real business value,” he said. “Doceree is where AI can make better intelligence, personalization, and decision-making genuinely matter for healthcare professionals, for life sciences organizations, and ultimately for patients. It feels like coming full circle, reconnecting with the healthcare applications of computer vision and machine learning that first drew me to the field during my PhD.”

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

A Chief Innovation Officer who finds where technology changes the work

Wilkinson joins as Chief Innovation Officer after more than 20 years in advertising and marketing; the last decade focused on AI, innovation, and R&D inside the world’s largest agencies. He served most recently as a chief innovation and AI leader at IPG Mediabrands’ Kinesso and at Acxiom, standing up innovation programs across Europe, Australia, and the US for some of the world’s biggest brands.

“My career has been a search for the place where technology genuinely changes how work gets done, rather than just adding another shiny tool,” Wilkinson said. “Daily Command is exactly that kind of shift for pharma and healthcare, and this team is building the category, not chasing it.”

Building the next chapter, together

“We didn’t set out to hire two titles. We set out to hire the two people who could carry Daily Command from a launch into an institution,” said Harshit Jain, MD, Founder and Global CEO of Doceree. “Yesh has built AI that runs at a scale almost no one in healthcare has operated at, and Graham has spent a career separating real innovation from theater inside the biggest agencies on earth. Together they make our intelligence smarter and our roadmap braver, exactly what this moment demands. This is the most exciting time in Doceree’s history, and we’re building its next chapter with the right people in the room.”

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

Samsung Ads makes it easier for brands to advertise programmatically

0
Samsung Ads makes it easier for brands to advertise programmatically

Samsung Ads - IAB Canada

Samsung high-impact home screen units will become programmatically available at global scale through integrations with The Trade Desk and Google’s Display and Video 360, powered by Magnite’s SpringServe

Samsung Ads, the advanced advertising division of Samsung Electronics, Today announced that, for the first time, advertisers will be able to automate buying of home screen ad placements on Samsung Smart TVs, opening one of the largest and most premium surfaces in CTV to scaled and programmatic buying. Powered by Magnite’s SpringServe technology, brands will soon be able to activate Samsung high-impact home screen inventory within leading demand-side platforms through new global integrations with The Trade Desk and Google’s Display & Video 360 (DV360).

Samsung native home screen placements are among the most valuable ad units in CTV, designed to engage audiences from the moment the TV is turned on. Samsung has adopted Magnite’s SpringServe ad serving technology to power its home screen inventory. By expanding access to this inventory through these high-value advertising technology partners that agencies and brands already use to execute the majority of their media buys, Samsung Ads is meeting buyers where they are while making it easier to plan, target and activate premium TV placements at scale.

Marketing Technology News: MarTech Interview with Miguel Lopes, CPO @ TrafficGuard

The integration also positions Samsung home screen inventory for the next evolution of automated media buying, including agentic and AI-assisted workflows that can help optimise placement decisions, delivery and performance across channels. As a result, advertisers can more seamlessly incorporate Samsung extremely high-impact TV placements into multichannel strategies spanning CTV, retail media, and broader omnichannel investments, while more effectively managing frequency, improving relevance and creating improved campaign performance and greater brand lift.

“The Samsung home screen is one of the most valuable ad units in streaming, combining exceptional visibility, high consumer attention, and the ability to engage viewers at the very start of their entertainment experience,” said Eldad Persky, Senior Vice President, Global Product, Engineering & Business Development for Samsung Electronics. “By making this inventory available through the platforms advertisers already use every day, we’re giving brands easier access to premium, non-skippable placements that extend campaign reach and deliver meaningful impact at scale.”

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

“The home screen is an integral part for every consumer’s TV usage,” said Will Doherty, SVP of Inventory Partnerships, The Trade Desk. “This prime visual real estate is important for every consumer as they choose which apps they want to stream, listen or connect to. Samsung Ads’ forward-thinking approach towards home screen inventory means that advertisers can now seamlessly integrate into this user experience programmatically. This represents a major move in an untapped category, and we look forward to more brands adding home page inventory to their digital media plans.”

As CTV continues to mature, advertisers are seeking solutions that combine the impact of premium, native TV experiences with the efficiency and intelligence of programmatic activation,” said Mike Laband, Group Senior Vice President, Revenue for Magnite.“With our SpringServe ad server as the foundation for Samsung’s premier home screen inventory, we are making high-impact CTV placements more seamless, scalable, and measurable. This integration enables brands to activate one of the most valuable surfaces in CTV with the data, optimisation, and performance expectations that define modern programmatic media.”

This marks the first step in Samsung’s broader strategy to make premium TV screens more accessible through automated buying channels while preserving high-quality consumer experiences Samsung consumers have come to expect. Programmatic access to Samsung home screen inventory across all global regions will begin rolling out in Q3 and will be available through The Trade Desk and Google DV360, with additional platform partnerships to be announced in the coming months.

For more information on Samsung Ads and the services available on Samsung Smart TVs, please visit Samsung Ads.

Samsung Ads puts the power of the world’s #1 Smart TV and mobile device brand to work for businesses of all shapes and sizes. With unrivaled reach across hundreds of millions of smart devices, Samsung Ads unlocks audiences at scale, helping advertisers break through to valuable, opted-in consumers in the moments that matter most. Samsung Ads offers innovative ad formats in brand-safe ad environments with full-funnel performance solutions that drive measurable outcomes – from awareness, to consideration, to conversion all in a privacy-friendly manner.

Today, Samsung Ads serves over 25 countries around the globe, bringing brands new ways to engage their audience across the Samsung portfolio of premium entertainment services, including Samsung TV Plus – the #1 FAST service on hundreds of millions of Samsung TVs globally, Samsung Gaming Hub, Samsung Galaxy mobile apps, and beyond.

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

Kyndryl Launches AI Orchestration for Business to Accelerate Agent-Driven Transformation

0
Kyndryl Launches AI Orchestration for Business to Accelerate Agent-Driven Transformation

Kyndryl

New Kyndryl Agentic AI Framework capability designed to fuel more responsive supply chains and personalized customer experiences across retail, CPG, travel and transportation industries

Kyndryl, a leading provider of mission‑critical enterprise technology services, announced Kyndryl AI Orchestration for Business, a new capability built with the Kyndryl Agentic AI Framework designed to move enterprises beyond experimentation and siloed workflows to enterprise-wide AI impact.

As organizations in retail, consumer packaged goods (CPG), travel and transportation, and other industries struggle to leverage AI to meet customer expectations around personalized experiences, real-time responsiveness and seamless fulfillment, Kyndryl AI Orchestration for Business helps to address this challenge. The capability autonomously interacts with AI agents across supply chains, commerce, finance, IT and customer operations to enable seamless coordination, cross-functional alignment and controlled execution at scale – supporting governed, policy-driven AI agent functionality.

Marketing Technology News: MarTech Interview with Haley Trost, Group Product Marketing Manager @ Braze

“Enterprises are moving fast to embrace AI, but most are stuck in isolated pilots that don’t change or improve their daily operations,” said Rachel Calhoun, Vice President and Global Retail, CPG, and Travel and Transportation Leader at Kyndryl. “Kyndryl AI Orchestration for Business helps companies bring order and clarity to AI complexity – coordinating how AI agents act across business functions, with clear guardrails and human oversight. That means fewer disruptions, faster decisions and the ability to protect and grow revenue and customer loyalty as AI becomes part of how the business runs.”

Kyndryl AI Orchestration for Business combines data, events and AI agents from across the enterprise to support role-based decision making and real-time action. Instead of reacting to issues after they occur, leaders and frontline teams receive proactive alerts, recommended actions and embedded agentic workflows that allow them to augment their own workstreams to intervene or approve automated actions before disruptions impact customers or revenue.

Kyndryl AI Orchestration for Business supports agentic workflows for use cases across store and enterprise operations, including:

  • Agentic Commerce: Connects supply chain, pricing, promotions and customer engagement – allowing organizations to anticipate demand shifts, manage disruptions and personalize customer experiences without sacrificing control.
  • Proactive supply chain disruption management: Identifies supply risks, impacted SKUs and financial exposure in real time, prompting planners and managers to act before stock‑outs reach stores or customers.
  • Rolebased operational orchestration: Delivers alerts, recommendations and actions to the right roles – such as demand planners, supply chain leaders and pricing teams – enabling faster, more coordinated decisions across functions.
  • Policydriven execution and auditability: Embeds operational, regulatory and business rules directly into agent workflows at the reasoning level using policy as code, with full transparency into how decisions are made and executed.
  • Coordinated commerce and customer experience enablement: Aligns supply, inventory, pricing and fulfillment decisions in real time to reduce disruptions, protect revenue and deliver a more consistent customer experience.

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

Kyndryl Consult experts will help customers design, deliver and deploy AI Orchestration for Business, while leveraging the full Kyndryl Agentic AI Framework and the company’s deep experience running mission-critical systems across hybrid cloud, on-premises and edge environments. The capability is cloud and large language model-agnostic, integrates with existing enterprise platforms and can operate with or without managed services tools – giving organizations the flexibility to modernize at their own pace.

Kyndryl is uniquely positioned to be the orchestration partner of choice for these industries, recognizing that achieving enterprise-scale process transformation requires targeted modernization across varied technology landscapes. Kyndryl accelerates this journey through a catalog of workflows and AI-native industry architectures that deliver speed, consistency and quality at scale. From unlocking legacy data and transactions across mainframe and distributed environments, to re-architecting applications to enable Model Context Protocol servers and power agentic workflows, Kyndryl leverages its comprehensive services to drive efficient end-to-end transformation.

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

OpenLegacy integrates into AWS Transform for Modernization to keep mainframe workloads connected as they move to the cloud, one workload at a time

0
OpenLegacy integrates into AWS Transform for Modernization to keep mainframe workloads connected as they move to the cloud, one workload at a time

OL_logo1-1

AWS and OpenLegacy announced OpenLegacy’s integration with AWS Transform for Modernization, AWS’s service for modernizing legacy systems. The integration helps enterprises keep modernized cloud workloads connected to the mainframe systems still in place, enabling the incremental, workload-by-workload approach that AWS Transform for Modernization makes possible, while reducing risk and disruption to business operations.

The integration is set to be showcased at AWS Summit New York on June 17, 2026 by Omri Kessel, AWS General Manager, Agentic AI Modernization, marking the first public demonstration of the embedded OpenLegacy experience within AWS Transform for Modernization.

Because AWS Transform for Modernization recovers the business logic buried in legacy code at machine speed, enterprises no longer have to modernize an entire environment at once. They can modernize incrementally, one workload at a time. For that incremental approach to work, each workload that moves to AWS has to keep communicating with the rest of the mainframe estate, and that is what OpenLegacy enables.

Marketing Technology News: MarTech Interview with Kurt Donnell, CEO @ Freestar

Enterprises operate hybrid models throughout the journey, where cloud-native services and the live mainframe must stay tightly connected as each migration wave progresses.

OpenLegacy enables this through its decoupling capability, which automatically generates integration bridges and API facades to and from the mainframe, keeping modernized cloud workloads connected to the systems still running on the mainframe. By preserving communication between the old and new environments throughout the migration, organizations modernize incrementally while reducing operational risk.

The experience is composed directly into AWS Transform for Modernization’s jobs and modernization flow. When users reach the decomposition stage of a migration, OpenLegacy’s technology operates within the AWS Transform environment to generate cloud APIs and integration points without requiring a separate toolset. Modernization teams maintain continuity between transformed applications and the systems still on the mainframe as projects advance in phases.

“Recovering the business logic in legacy code is the hard part of modernization, and doing it at machine speed is what lets customers modernize one workload at a time instead of all at once,” said Omri Kessel, AWS General Manager, Agentic AI Modernization. “The AWS Transform for Modernization composability framework lets us bring in the right capability for each phase, and OpenLegacy is a great example: it keeps each workload we move to AWS communicating with the mainframe behind it, so customers modernize incrementally, in months, instead of betting the business on a big-bang cutover.”

Marketing Technology News: Programmatic Ad Platforms With Unique AdTech Features

“Mainframe modernization succeeds when the old and the new can work together,” said Ron Rabinowitz, CEO of OpenLegacy. “By embedding OpenLegacy into AWS Transform for Modernization, organizations can bridge legacy systems and cloud-native environments in a coexistence model, enabling phased modernization one business process at a time.”

OpenLegacy’s integration expands the AWS Transform for Modernization composability framework, which brings together specialized capabilities that support different phases of the modernization lifecycle, from assessment and documentation through transformation, testing, and deployment. Within that framework, OpenLegacy provides the decoupling and integration capabilities that let modernized applications and the rest of the mainframe estate keep operating together during phased migrations.

The integration is designed for enterprises modernizing complex estates across financial services, insurance, and telecommunications.

The AWS Summit New York demonstration is the first public showcase of the OpenLegacy and AWS Transform for Modernization integration, and highlights the growing role of composable modernization in helping enterprises accelerate cloud transformation while minimizing disruption.

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

Bria Launches V-RMBG 3.0: State-of-the-Art Video Background Removal Model

0
Bria Launches V-RMBG 3.0: State-of-the-Art Video Background Removal Model

logo

New architecture delivers best-in-class temporal consistency, smarter foreground detection, and on-device support — with no integration changes required

Bria, the Generative AI infrastructure for professional visual assets, announced the launch of V-RMBG 3.0, its next-generation video background removal model. Built on a fundamentally new architecture, V-RMBG 3.0 processes video with an awareness of time, eliminating the flickering and unstable edges that have long been the visible ceiling of frame-by-frame approaches.

Background removal is an increasingly important capability in professional video pipelines, with the market projected to grow at a 15% CAGR through 2033. Avatar platforms, automated video editors, live recording studios, and live commerce platforms all depend on it to ship visual assets at scale. However, most models still struggle with fine details like hair, motion blur, fore/background distinction, and semi-transparent edges, which often leads to visible halos, flicker, and other artifacts in the final composite.

V-RMBG 3 solves those problems, treating each frame as a standalone image and using the previous frame’s output as context when processing the next one. The model learns what the scene looks like over time, so it stops second-guessing itself from one frame to the next. The result is cleaner edges, stable masks across a full clip, and output that holds up on direct comparison against both open-source and commercial competitors.

Marketing Technology News: MarTech Interview with Stephen Howard-Sarin, MD of Retail Media, Americas @ Criteo

Benchmarked head-to-head against every major competitor, V-RMBG 3.0 achieved a 63%+ win rate, preferred over every competitor tested on output quality. The speed advantage is just as decisive – up to 9x faster than every competitor tested. For teams running high-volume or real-time pipelines, the throughput difference is not marginal, it is the difference between a model that fits the workflow and one that bottlenecks it.

“The next wave of AI-native media isn’t being built by humans reviewing individual frames, but by pipelines that run end-to-end without human correction loops,” said Dr. Yair Adato, CEO of Bria. “V-RMBG 3.0 is our contribution to that shift: a model that understands time the way a human editor does, so the teams building tomorrow’s content infrastructure don’t have to work around it. Those are the standards we’re aiming for across everything we ship.”

The model has been benchmarked across +350 video clips covering the full range of production shot patterns — talking head, seated host, podcast setup, product demo, live commerce, and full-body — and validated against open-source models including MatAnyone 2, as well as commercial competitors Cutout and Veed.

Additional capabilities shipping with V-RMBG 3.0:

  • Cloud, BYOC, on-prem, and on-device. The model runs wherever the customer needs it, including locally on their own machine. No cloud round trip, no data leaving the device, no per-second cost for local processing. Relevant for latency-bound real-time applications, offline and edge deployments, and privacy-sensitive content.
  • Streaming-native. Processes frames one at a time, same as V2. The previous-frame context is the architectural improvement; autoregressive does not mean batching.
  • Better video, no code change. Same API key, endpoints, parameters, and pricing. Customers on V2 get the upgrade automatically with zero integration work.
  • Model weights and inference code available. Accessible to customers for self-hosted deployment, internal evaluation, and the training-data and runtime audits that closed-source APIs cannot support.

Marketing Technology News: From MarTech Stack to MarTech Fabric: Weaving Brand, Content, and Conversion Into One Thread

“Background removal opened the door to Bria for many of our production customers; V-RMBG 3.0 raises the ceiling on what that capability can do,” said Yael Lubratzki Kurman, VP Product at Bria. “This is the right architectural fix for the problem, and because it ships as a drop-in upgrade, every customer on V2 gets better output the moment they make their next API call. No migration, no integration work, no trade-off.”

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

KNB Communications Acquires Roketto, Launches New Brand Identity as Sōvyn

0
KNB Communications Acquires Roketto, Launches New Brand Identity as Sōvyn

The acquisition strengthens the public relations and marketing agency’s GEO, digital strategy, automation, and web design capabilities for healthcare, life sciences, and technology brands.

KNB Communications announced the acquisition of Roketto, a Canada-based digital agency specializing in generative engine optimization (GEO), web design and development, digital advertising, and inbound marketing strategy. This acquisition was the catalyst for the agency’s decision to rebrand as Sōvyn, reflecting its evolution into a more integrated communications and digital strategy firm better positioned for an era defined by zero-click searches.

“Communications strategies necessary for awareness have changed dramatically in the last few years,” noted Chintan Shah, who now holds the title of president and CEO of the newly rebranded agency. “Traditional PR and marketing tactics are no longer enough to rise above the noise. Companies need integrated strategies that connect scientific storytelling, search visibility, AI discoverability, automation, and digital engagement. This acquisition allows us to expand those capabilities and serves as the perfect milestone to unveil our new company name, Sōvyn.”

Marketing Technology News: MarTech Interview with Liat Barer, Chief Product Officer @ Odeeo

As Sōvyn, the agency will elevate innovations that improve the human experience through expert-driven marketing and public relations, with a deep focus in healthcare, life sciences, and technology.

Shah said the name change is intentional rather than cosmetic and reflects the agency’s evolution toward intelligent, connected communications and digital strategy. Sōvyn is derived from the Greek word “sophos,” meaning wisdom and expertise, and paired with the Latin-inspired “in,” representing innovation and intelligence.

“KNB Communications has partnered with healthcare, biotech, medtech, and life sciences organizations for nearly 30 years, and Roketto has more than 15 years of history serving innovative technology clients,” added Shah. “Together as Sōvyn, we will help our clients navigate an increasingly complex communications landscape while offering a more integrated suite of services.”

The acquisition of Roketto was funded by KNB Communications along with investors Sundeep Bhan and Shirin Bhan.

Marketing Technology News: What Marketers Need to Know About the European Accessibility Act

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

Xplor Technologies Acquires Bitlancer, Accelerating the Shift from Software Tools to AI-Powered Workflows

0
Xplor Technologies Acquires Bitlancer, Accelerating the Shift from Software Tools to AI-Powered Workflows

Xplorlogo

Xplor Technologies (“Xplor”), a global leader in software, payments, and intelligent capabilities for everyday life businesses, announced the acquisition of Bitlancer, a technology partner specializing in payroll automation and AI-powered tools purpose-built for fitness operators. The acquisition expands the capabilities Xplor can offer its customers, adding fully embedded payroll processing and AI-powered business automation tools directly within the verticalized SaaS platforms businesses already use to run their operations.

Bitlancer has built payroll and fitness automation tools that are widely used across the fitness industry. Their payroll processing and studio operations tools use AI to help fitness businesses pay staff, track performance, and operationalize decision-making through intelligent automation and predictive insights.

“What excites us about this next chapter is the combination of workflow automation and AI-powered intelligence. Bitlancer is demonstrating a clear vision for how vertical SaaS platforms can move beyond systems of record and begin actively helping owners and operators make smarter, more personalized decisions in real time,” said Andy Swansburg, Chief Product Officer at Xplor Technologies. “This acquisition speeds up our ability to deliver on that vision for fitness businesses today, with a clear path to expand across Xplor’s platform ecosystem. From fitness studios and gyms to field services and golf courses, Xplor customers benefit from smarter, faster, and highly automated payroll processing, actionable insights, and workforce management.”

Marketing Technology News: MarTech Interview with Kurt Donnell, CEO @ Freestar

“We’re thrilled to join Xplor and turbocharge Bitlancer’s payroll automation and AI intelligence across Xplor’s verticalized SaaS products. By embedding our technology directly into their connected platform ecosystem, we’re excited to unlock massive value for business operators, helping them run more efficiently and scale with confidence,” said Nitesh Goyal, Managing Partner at Bitlancer.

By integrating Bitlancer’s capabilities, Xplor will enable businesses across Fitness and Leisure, Golf and Club, Recreation, Field Services and Education verticals to access embedded payroll processing, pay-for-performance compensation management, and AI-driven operational intelligence – all from within Xplor’s connected platform ecosystem. The combined teams will build AI-native tooling for business operators, including natural-language reporting, automated payroll and compensation workflows, workforce optimization, performance benchmarking, and proactive insights designed to help businesses run leaner and grow with less manual overhead.

Marketing Technology News: Programmatic Ad Platforms With Unique AdTech Features

“Joining Xplor allows us to scale our vision significantly faster,” said Rajan Chaudhry, Managing Partner at Bitlancer. “Together, we can bring modern payroll automation and AI-powered operational tooling to a much broader customer base while continuing to innovate for the fitness industry like we always have.”

Following the transaction close, Bitlancer’s team will remain with Xplor to lead the continued development and expansion of Xplor’s embedded payroll and AI capabilities, driving innovation across the platform for customers and partners in all Xplor’s everyday life verticals.

The acquisition reinforces Xplor’s broader strategy of delivering platform-wide capabilities that extend beyond core business management software – helping businesses access integrated financial services, marketing solutions, operational automation, and AI-driven insights through a unified ecosystem experience.

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

Emplifi Fuel Drives 60% Increase in Social Media Engagement for Brands and More than 85% Growth in Audience

0
Emplifi Fuel Drives 60% Increase in Social Media Engagement for Brands and More than 85% Growth in Audience

Site Logo

New customer data highlights how brands are turning insights into coordinated execution across marketing, commerce, and care

Emplifi, the only Autonomous CX platform (A-CX), announced customer success results driven by Emplifi Fuel. Since its launch in 2025, Emplifi Fuel has enabled brands to grow audiences, increase engagement, and drive measurable revenue outcomes by connecting insights directly to execution across marketing, commerce, and customer care.

Emplifi Fuel, now used by more than 30% of Emplifi customers, serves as the intelligence engine, combining industry-specific intelligence with AI agent-driven execution to help marketers scale across brands and expand globally. By aligning business objectives with automated recommendations and our robust governance engine, brands can scale their social efforts, turning small teams of 5 into 50, while driving contextual content creation and instant resolution to customer service issues.

Marketing Technology News: MarTech Interview with Kurt Donnell, CEO @ Freestar

Customers using Emplifi Fuel are reporting measurable impact, including:

  • 86% Growth in audience
  • 60% Increase in engagement
  • 36% Rise in conversions
  • 22% Improvement in Net Promoter Score (NPS)

These results reflect a shift from human-driven to autonomous workflows, where customer engagement is near real-time and insights are consistently applied across the full customer journey.

In one example, a global retailer used Emplifi Fuel to build advocacy networks, resulting in $1.2 million in incremental sales. A separate Fuel partner reported 126% revenue growth. As brands navigate increasing volumes of customer data, fragmented tools, and rising expectations for personalized experiences, the ability to connect insight with execution has become critical to driving performance.

“What we’re seeing with Emplifi Fuel is a fundamental shift from reactive customer engagement to assisted AI actions and finally to autonomous customer experience,” said Susan Ganeshan, CMO of Emplifi. “Brands no longer just need insights; they need the ability to act on those insights instantly and at scale. By combining unified consumer data, industry-specific intelligence, and autonomous AI-driven execution, Emplifi Fuel helps organizations automate engagement while still building trust expected by the discerning consumer. The result is faster growth, stronger consumer relationships, and measurable business impact.”

Marketing Technology News: Programmatic Ad Platforms With Unique AdTech Features

With more than 20,000 brands in its network, Emplifi provides visibility into digital consumer behavior and performance trends, helping customers benchmark and scale strategies across markets and channels.

“With Emplifi Fuel, we’ve been able to bring together data, content, and customer insights in a way that simply wasn’t possible before. We’re seeing meaningful improvements in how we engage our audience and convert that engagement into real business results,” said Ashley Miller, Team Leader, Customer Service & Social Media, ALDO.

As brands face increasing pressure to deliver seamless, personalized, and authentic customer experiences, Emplifi Fuel is positioned to support both efficiency and revenue growth.

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

Four weeks, four new clients for The Digital Voice™ PR agency

0
Four weeks, four new clients for The Digital Voice™ PR agency

The Digital Voice named PR, content and events agency of record for Assertive Yield, adnomaly, OpenAttribution and Brave Browser & Search Engine – and expands regional PR partnership with impact.com into France & Spain

The Digital Voice™, the specialist B2B PR and amplification agency for the adtech and technology marketing sector, today announced it has been appointed as the agency of record for four leading industry players.

Its new clients in full are Brave Browser & Search Engine, quality assurance platform adnomaly, AI decisioning and revenue optimisation technology for sell side media Assertive Yield, and non-profit AI content transparency initiative OpenAttribution.

The Digital Voice™ has also expanded its remit with its longest-standing client partner impact.com, adding support for the leading partnership management platform’s operations in France and Spain, alongside its established UK and US work.

The four new client wins, won over a four-week period, cement The Digital Voice™’s position as the go-to amplification partner for innovative adtech, martech and performance marketing companies.

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

“All our client partners lead the field in adtech and martech, and to add four more exceptional ones makes us incredibly proud,” said Julia Linehan, CEO and founder of The Digital Voice™.

“Each of these brands is at the forefront of addressing key challenges and opportunities in digital advertising – from privacy-centric browsing and search, to advanced yield optimisation, anomaly detection and attribution innovation.

“Combined with our deepened partnership with impact.com – now across four major markets – this marks an exciting new phase of growth for our 32-strong team at The Digital Voice™. We look forward to delivering high-impact B2B PR amplification that elevates our new partners’ profiles and drives meaningful industry conversations.”

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

The Digital Voice™ specialises in helping adtech and martech companies articulate complex technologies, build thought leadership, and secure premium media coverage in a rapidly evolving regulatory and competitive landscape. The agency is also the publisher of Adtech Juice, providing an ‘adtech uni’ educational website as an industry resource.

The arrival of four new clients illustrates The Digital Voice™ ‘s continuing growth, and provides vindication of CEO and Founder Julia Linehan’s determination to build a PR agency with a difference.

The company operates a specialist-led model: a global team of 32 experts across press, content, events, social, multimedia, marketing and awards that wrap around each client partner and deliver on their specific needs.

Every client partner is supported by the right expertise at the right time, creating a more effective, scalable and integrated approach. This approach has been an engine for the agency’s expansion, resulting in consistent YoY growth averaging around 10%. The approach has also been key in securing new business.

Andy Squire, UK Lead for Brave Ads, said “Brave Ads is at a critical moment in its history as it cements its place in the UK as a leading partner for independent, incremental paid search. We wanted to support this development by engaging a PR agency we felt real synergy with, both in terms of market positioning and culture. The Digital Voice™ was an obvious fit and, while we’re global business, we were keen to partner with a specialist cemented within the UK and EMEA.”

The Digital Voice™ is a B2B tech PR agency with boundless energy for amplification. The company loves to shout its partners’ brand, vision and products from the rooftops, and is unashamedly energetic and fearless in doing this. As a leading amplification agency for the adtech and tech industry, The Digital Voice™ delivers PR, thought leadership, awards, events, multimedia, podcasts, content and creative, and they are the publishers of leading educational adtech platform, Adtech Juice.

Established in 2012 by adtech veteran, Founder and CEO, Julia Linehan, the team is 100% remote, with Julia backed by 32 exceptional journalists, press and content experts, creative designers, marketing and PR pros, social, multimedia and event management specialists.

Over the years, The Digital Voice™ has built up an enviable client roster of 15 companies, including Samsung Ads, Brave Browser & Search engine, Nectar360, Preciso, esbconnect, impact.com, GumGum and Jellyfish.

More information at: The Digital Voice™ – AdTech MarTech B2B PR Agency

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

Clarvos Expands Agentic Marketing Workflow With AI Governance, Computer Vision and Predictive Audience Intelligence

0
Clarvos Expands Agentic Marketing Workflow With AI Governance, Computer Vision and Predictive Audience Intelligence

Clarvos Logo

New capabilities help marketers validate creative assets, score audience fit, test campaign concepts and prepare AI-generated campaigns before launch.

  • Clarvos expanded the Clarvos Agentic Workflow to help marketers evaluate campaign strategy, audience fit and creative quality before media spend begins.

  • Clarvos is adding predictive audience intelligence through its Brand Relevance Score and Customer Simulator, which support audience prioritization and creative testing.

  • Clarvos will showcase the Clarvos Agentic Workflow at Small Business Expo Chicago today at Booth #608.

Clarvos, a marketing technology startup that provides an agentic intelligence-powered marketing workflow platform for small and mid-sized businesses, announced expanded capabilities for the Clarvos Agentic Workflow, including AI governance, creative validation, computer vision, audience intelligence and AI-powered campaign recommendations. Clarvos will publicly showcase the expanded workflow at Small Business Expo Chicago on June 10, 2026, at Booth #608.

“This expansion helps teams use AI with more confidence by giving them a workflow that can generate, evaluate and validate campaign assets before launch.”

As more businesses use AI to speed up marketing, many still face a critical challenge: knowing whether AI-generated campaigns, messages and creative assets are accurate, on-brand and ready to reach customers. The new Clarvos capabilities are designed to help marketers turn audience signals into campaign recommendations, review AI-generated work before launch and activate campaigns with greater confidence.

Clarvos is building an intelligence layer for advertising workflows that coordinates specialized AI systems across campaign planning, creative generation, audience modeling, creative validation and performance reporting. By combining agentic AI, computer vision, deterministic validation engines, embedding models and AI-powered campaign recommendations into one workflow, Clarvos helps marketers move from insight to activation while maintaining governance, compliance and brand control before media spend begins.

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

“Small businesses are under pressure to move faster, but they cannot afford to lose control of their brand or customer experience,” said Tamera Montagna, CEO of Clarvos. “This expansion helps teams use AI with more confidence by giving them a workflow that can generate, evaluate and validate campaign assets before launch.”

An Intelligent Growth System for Modern Marketing Teams

The Clarvos Agentic Workflow coordinates the core steps of modern campaign development, from identifying growth opportunities and recommending audience segments to generating creative, reviewing outputs and preparing campaigns for activation. With this expansion, Clarvos is strengthening the intelligence and governance layer behind those workflows.

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

The expanded platform enables businesses to:

  • Review campaign outputs before launch: Clarvos evaluates campaign concepts, messaging, audience recommendations and creative assets against brand standards, compliance requirements, campaign objectives and approval rules before activation.
  • Use computer vision for creative quality control: Clarvos uses computer vision and deterministic validation frameworks to assess product fidelity, brand colors, object detection, layout and visual compliance.
  • Turn cultural signals into audience and campaign direction: The Trending Topics Discovery feature identifies emerging consumer conversations, cultural moments and behavioral shifts across social media, while Brand Relevance Score ranks consumer segments based on alignment with a brand’s positioning, messaging, and consumer relevance.
  • Test creative assets with predictive audience intelligence: Customer Simulator uses a synthetic audience response to provide qualitative feedback and 0–10 engagement scoring for uploaded and AI-generated creative assets before campaign launch.
  • Generate AI-powered campaign recommendations: Clarvos translates trends, audience segments, brand inputs and creative signals into campaign strategy, target audience recommendations, channel guidance and creative direction.
  • Centralize reporting and prepare for broader activation: The Performance Dashboard consolidates campaign metrics, media spend, ROI trends and audience insights across connected advertising channels, while the company’s expanding publisher ecosystem is designed to support future omnichannel distribution.

Clarvos at Small Business Expo

Clarvos will publicly showcase the Clarvos Agentic Workflow today at Small Business Expo Chicago, taking place from 9:30 a.m. to 5:00 p.m. at the Isadore & Sadie Dorin Forum at UIC. Attendees can see the platform demo at Booth #608.

Katie Camacho-Smith, GTM Lead at Clarvos, will also lead a workshop titled “Smarter Growth with AI: No Guesswork, Just Results.” The session will explore how small businesses can use AI to identify the right customers, reduce guesswork, test what works and drive more repeatable growth.

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

Creator Content Now Powers 44% of Paid Media Creative as the Traditional Marketing Funnel Compresses, CreatorIQ Report Finds

0
Creator Content Now Powers 44% of Paid Media Creative as the Traditional Marketing Funnel Compresses, CreatorIQ Report Finds

CreatorIQ Logo

New research shows creator marketing has become the connective tissue of modern advertising—with 92% of brands using creator content in paid media and more than 8 in 10 reporting at least 2x ROI

Creator content has moved from a brand awareness tactic to the operational backbone of enterprise advertising, according to new data from CreatorIQ’s Creator-Powered Funnel report. Surveying 100 paid media marketers and marketing executives, the research reveals that the traditional marketing funnel has compressed into a creator-powered ecosystem where awareness, consideration, and conversion take place simultaneously across social media, paid media, and commerce.

The report finds that creator content now accounts for 44% of brands’ paid media creative assets on average, with 92% of paid media leaders and marketing executives using creator content in paid media in some capacity. As creator investment has deepened, reaching $6.6M on average, so has performance: more than eight in 10 respondents reported achieving at least 2x ROI from their creator marketing programs. These findings are reflected in new IAB research showing that creator advertising is now a core media channel, with spend reaching $37B in 2025 and projected to reach $44B in 2026—a faster growth rate than the broader advertising market.

“Today’s consumers move fluidly across social platforms, the broader web, commerce experiences, and brand-owned channels, and brands need creative that can move with them,” said Tim Sovay, Chief Partnerships Officer at CreatorIQ. “That’s why creator content has become such an important part of the media mix. In paid social especially, brands are shifting budget toward creator-led ads because they deliver the authenticity and adaptability needed to perform across awareness, consideration, and conversion. As creator investment deepens, the focus is shifting from proving ROI to building the systems and workflows required to scale creator content across channels.”

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

Creator Content Is Overtaking Traditional Ad Creative

As targeting advantages erode and consumers grow fatigued by polished advertising, creator content has become the performance-driven creative format of choice. Among surveyed marketers, 77% said creator content outperforms traditional branded ad creative, with 43% saying it performs significantly better. They also said creator content outpaces traditional creative on click-through rate (65%), conversion rate (58%), and CPM efficiency (50%).

The shift in budget allocation reflects the shift in performance expectations: two-thirds of increases in influencer marketing spend were reallocated from paid media channels, and four in 10 marketers now use creator content for the majority of their paid creative.

The Line Between Creator Marketing and Paid Media Is Disappearing

As creator content takes on a larger share of the paid media stack, the distinction between earned and paid is dissolving. Respondents were most likely to describe creator marketing as equally valuable for awareness and performance (36%)—a signal that the channel can no longer be neatly categorized as top-of-funnel. Brand lift and sales/revenue ranked as the top metrics for evaluating campaign success (58% and 54%, respectively).

More than half of surveyed marketers (57%) have fully integrated creator marketing into the same measurement framework as their broader paid media programs, measuring creator performance using the same dashboards and metrics as other paid channels.

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

Creator Content at Every Funnel Stage

Creator content now compresses awareness, consideration, and conversion into a single format deployed simultaneously across social, paid, and commerce. Marketers are running creator programs across every stage of the customer journey, with the mid-funnel consideration stage delivering the strongest measurable return—and 100% of respondents repurposing creator content across other channels, with paid social and digital advertising as the top destination (65%), followed by websites and landing pages (56%) and retail and commerce placements (47%).

Scaling is the New Challenge

ROI is no longer the question—operational complexity is. The biggest barriers to growth are measuring creator-driven paid performance separately from other creative (58%), securing usage rights (54%), and integrating creator tools with paid media systems (52%). Despite AI improving efficiency for 84% of marketers, teams still average four separate tools to manage creator workflows end-to-end.

“Forward-thinking brands extend the value of each creator partnership beyond the original post,” said Michael Lambie, Head of Global Measurement & Insights at CreatorIQ. “Mature programs use benchmarks and performance data to inform creator selection, paid amplification, and investment.”

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

Yieldmo Expands YMax.ai, Bringing Greater Control, Transparency, and Predictive Intelligence to Open Web Advertising

0
Claritas and Comcast Advertising Bring Audience Intelligence and Measurement Together to Boost Campaign Performance

Latest Yieldmo innovation helps brands activate high-intent audiences with URL-level transparency and adaptive AI-powered media optimization

Yieldmo, a leading advertising platform improving digital ad experiences through creative tech and AI, announced the continued expansion of YMax.ai, its next-generation advertising platform built to give brands and agencies greater control, transparency, and predictive intelligence across the open web.

Already powering campaigns for leading consumer brands, sports organizations, and entertainment advertisers, YMax.ai combines exclusive high-intent inventory, semantic targeting, URL-level transparency, and adaptive creative optimization with insights derived from more than eight years of proprietary performance and pricing data. The platform gives advertisers an unprecedented level of visibility into inventory quality, expected outcomes, and media value before a bid is ever placed, helping brands make smarter media decisions and optimize performance from the start.

“Advertisers have been asking for more control and transparency for years. YMax.ai was built as a direct response to perpetual frustration with opaque supply paths, limited visibility into media quality, and inefficient buying models that have prioritized scale over outcomes for far too long,” said Mike Yavonditte, CEO & Co-Founder of Yieldmo. “YMax.ai changes the relationship brands have with media buying by giving them visibility into every impression, access to high-intent environments, and predictive intelligence that helps optimize performance before campaigns even launch. What makes this possible is the foundation we’ve built over eight years of collecting and analyzing performance, pricing, and engagement data across the open web. YMax.ai surfaces that intelligence on a pre-bid basis, giving advertisers a level of transparency and control that simply hasn’t existed in programmatic advertising.”

“Advertisers no longer want to buy audiences blindly,” said Eddie Ishak, Chief Experience Officer at Yieldmo. “They want to understand where ads appear, why those environments matter, and how creative will perform in those moments. YMax.ai brings together control, transparency, and predictive optimization in a way the market hasn’t seen before.”

Driving Results Across High-Intent Consumer Moments

YMax.ai has already delivered measurable performance improvements for advertisers looking to extend sponsorship impact and engage consumers during high-intent moments across sports, entertainment, and lifestyle content.

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

Campaigns powered by YMax.ai have delivered stronger engagement, higher viewability, and significant lifts in click-through performance by aligning creative and messaging with real-time fan interest and content environments. Campaigns combining URL-level inventory decisioning with dynamic creative optimization delivered:

  • Up to +129% CTR compared to benchmark
  • Up to +59% lift in engagement through in-flight optimization
  • Average of 85% viewability rates
  • Measurable performance gains driven by creative and contextual alignment

Recently, Pacers Sports & Entertainment (PS&E) launched the Fieldhouse Media Network, a first-of-its-kind media platform powered by Yieldmo’s YMax.ai technology, enabling advertisers to reach authenticated sports audiences across premium digital environments. Developed in collaboration with Deloitte, the platform extends sponsorship activation beyond owned channels and into the open web, helping brands deliver more relevant, contextually aligned advertising with greater transparency and control.

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

Key Capabilities of YMax.ai:

  • Pre-Bid Supply Intelligence, Control & Transparency
    Understand exactly where ads run with granular visibility and supply control down to the individual URL. Powered by Yieldmo’s proprietary performance and pricing dataset, YMax.ai provides advertisers with KPI and inventory insights before activation, enabling more informed media decisions and greater confidence in campaign outcomes.
  • Exclusive Access to High-Intent Inventory
    Reach consumers in premium, high-intent environments with stronger engagement potential and contextual relevance, while activating seamlessly through Deal IDs, managed-service offerings, and future self-service capabilities.
  • AI-Powered Semantic Targeting & Sentiment Intelligence
    Align campaigns with content tone, audience intent, and real-time contextual signals.
  • Predictive Performance & Creative Intelligence
    Forecast how creative and inventory will perform together before campaigns launch, then dynamically adapt messaging and creative variations in real time to maximize engagement across environments.

As advertisers continue demanding greater accountability and transparency from media partners, Yieldmo believes platforms built around contextual intelligence, predictive optimization, and supply transparency will define the next era of advertising on the open web.

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

Sprinklr Introduces LLM Insights to Help Brands Understand and Influence How They’re Represented in AI-Generated Answers

0
Crafter Software Announces CrafterCMS AI, the Open Source Agentic CMS for the Enterprise

Sprinklr Logo

New solution enables enterprises to measure, benchmark, and influence brand visibility, sentiment, and recommendations across AI search

Sprinklr , the definitive, AI-native platform for Unified Customer Experience Management (Unified-CXM), announced LLM Insights, a new AI-native capability within Sprinklr Insights that helps brands understand and shape how they are represented in large language model (LLM) search results.

“LLM Insights gives organizations the ability to understand that conversation, act on it, and be part of the answers that matter – all from the same unified platform they already use to monitor and manage their brand.” — Karthik Suri

Generative AI platforms are evolving how customers discover and evaluate brands. Visibility is no longer defined by rankings or clicks, but instead by how brands appear in AI-generated answers. Yet most organizations have little visibility into how they are represented, misrepresented, or even excluded in these platforms, exposing a new risk: a self-reinforcing visibility gap, where brands that aren’t surfaced generate no discovery, no conversation, and ultimately remain absent from future results.

Sprinklr’s LLM Insights helps enterprises address this gap by providing real-time insight into how their brand appears in AI-generated answers, analyzing visibility, sentiment, recommendations, and competitive positioning across LLM-driven queries. It enables brands to track and improve key outcomes such as AI mention rate, share of voice, and sentiment while connecting visibility in AI directly to downstream impacts like traffic, conversions, decisions, and customer experience.

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

“Your brand is already part of the AI conversation, and Generative AI platforms are compressing the traditional buyer journey,” said Sprinklr Chief Product and Corporate Strategy Officer, Karthik Suri. “Customers increasingly move from a single prompt to a synthesized recommendation often without visiting brand websites or owned channels. Representation in these platforms is a critical driver of awareness and consideration. LLM Insights gives organizations the ability to understand that conversation, act on it, and be part of the answers that matter – all from the same unified platform they already use to monitor and manage their brand.”

In beta deployments this spring, early customers found that AI-generated answers were often incomplete or misrepresenting their brands at critical decision points. Competitors were surfaced more prominently, their offerings were positioned as higher-cost alternatives, and influential third-party domains were reinforcing inaccurate pricing and brand narratives – entirely without the brand’s knowledge.

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

Using Sprinklr’s unified architecture, these teams were able to trace how social and digital signals were shaping those outcomes — giving them a way to detect emerging distortions early and take action before they spread.

Sprinklr’s LLM Insights is differentiated from other solutions in three key ways:

  1. Real-world prompts, powered by the breadth of Sprinklr’s platform: Unlike tools that rely on keyword lists or synthetic prompts, Sprinklr generates queries from real customer conversations across its unified platform – spanning social, reviews, communities, and care – giving brands a more accurate view of how they appear in AI-generated answers and the signals shaping those outcomes.
  2. Turn insights into action: LLM Insights connects directly to content, knowledge, and engagement workflows, enabling teams to quickly improve how their brand is represented and recommended by LLM Platforms.
  3. Activated quickly within the platform brands already trust: LLM Insights is built into Sprinklr Insights, allowing teams to get started in minutes using the same unified environment they already rely on for brand monitoring and customer intelligence.

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

Close Launches Chloe, an AI Sales Agent Built Directly Into the CRM

0
Close Launches Chloe, an AI Sales Agent Built Directly Into the CRM

Close Status

After helping 306 businesses make more than 818,000 calls during beta, Close today announced the general availability of Chloe, an AI sales agent built directly into the CRM, now available on all plans for customers in the U.S. and Canada.

For more than a decade, Close has helped sales teams engage leads and move deals forward with built-in calling, SMS, email, and automation. Now, Close is taking the next step with Chloe.

Chloe calls leads, qualifies prospects, books meetings, follows up automatically, and keeps the CRM updated.

Because Chloe works directly inside Close, it has access to customer history, previous conversations, deal context, and workflow automation—helping teams take action without adding another tool or integration.

Marketing Technology News: MarTech Interview with Miguel Lopes, CPO @ TrafficGuard

Most CRMs are systems of record. Close has always been a system of action.

Tested Across 306 Businesses

Before general availability, 306 businesses used Chloe to make more than 818,000 calls, reaching 111,915 prospects and customers and completing more than 6,400 hours of conversations.

“The biggest opportunity with AI is not replacing salespeople. It is giving small businesses leverage they could not afford before. For most of the last twenty years, if you wanted faster lead response, more follow-up, or more sales activity, you hired more people. AI changes that. Small businesses can now operate with a level of speed and consistency that previously required much larger teams.”
— Steli Efti, Founder and CEO, Close

Beta customers used Chloe to qualify inbound leads, re-engage old opportunities, follow up with prospects, and schedule meetings automatically.

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

“Chloe is the first AI calling agent I tried that actually fits the way a sales team works. It handles repetitive phone work, navigates real-world call scenarios, and gets the conversation to the right human at the right time.”
— Pedro Ponciano, CEO & Founder, Close Accelerate

“In our first week with Chloe, we booked 30 meetings and increased total meetings booked by more than 50%.”
— Ben Pace, Founder, ClientMatchmaking.com

While many customers first encounter Chloe through voice, Chloe also supports account research, lead enrichment, CRM updates, and conversational assistance through Chloe Chat. Close plans to expand Chloe with multilingual support as well as native email and SMS conversations.

Built for Small Business

More than 11,500 businesses use Close today. Unlike standalone AI tools that require additional integrations and setup, Chloe works directly inside the CRM. Businesses can get started in minutes with customer data, workflows, and communication history already connected.

The goal is simple: help small teams move faster, stay lean, and compete above their weight class.

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

Vertesia and SynApps Solutions Announce UK Reseller Agreement

0
AI Search Breakthrough: Tel Aviv Based Marketing Agency’s Content Engine Delivers Results in 30 Days

Vertesia

Partnership combines SynApps’ deep ECM and intelligent automation expertise with Vertesia’s AI-native platform to help UK organizations transform document-intensive workflows with trusted AI agents

Vertesia, developer of a leading agentic AI software platform, announced today it has signed a reseller agreement with SynApps Solutions, an independent services and solutions company specializing in Enterprise Content Management (ECM) and intelligent automation. Together, the companies will help public sector and financial services organizations across the UK modernize legacy content environments with AI-native capabilities that make governed enterprise content usable by trusted agents, workflows, and intelligent applications.

“When you have spent as long as we have working in content management, you develop a sharp instinct for the difference between real innovation and AI that has been bolted on. Vertesia is a fantastic enablement for customers on their AI journey, and we are very much looking forward to seeing where the partnership takes us,” said James Paton, CEO of SynApps Solutions.

For organizations with years of critical information locked inside legacy ECM systems, AI success depends on whether that content can be understood, governed, and used in context. Vertesia helps prepare and structure complex enterprise content so AI agents can take trusted action without losing the meaning, relationships, or compliance controls embedded in the source material. The architecture can also help organizations reduce the cost and complexity of legacy infrastructure by dynamically scaling resources, while providing IT teams with the governance, auditability, and operational control required for production AI.

Marketing Technology News: MarTech Interview with Miguel Lopes, CPO @ TrafficGuard

“Content-centric applications have traditionally been built around process and storage. An AI-native platform changes that fundamentally, turning content into something that can be understood, acted upon, and automated at a scale that simply was not possible before,” said Tim Hood, SVP EMEA at Vertesia. “SynApps has spent nearly three decades working with exactly these kinds of environments. That depth of experience, combined with a platform built from the ground up for AI, means their clients can look forward to transformation that goes far beyond incremental improvement.”

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

Vertesia’s reseller agreement with SynApps marks the latest in a series of strategic partnerships with UK and European firms specializing in content services. The momentum reflects a broader shift in enterprise AI adoption, as organizations move beyond chatbots and pilots and begin confronting the harder work of preparing source material, governing enterprise knowledge, and automating workflows without sacrificing transparency or control.

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

BFJ Digital Briefing Outlines Australian Retail Shift to Closed-Loop Data Ecosystems

0
Geebo Marks 26 Years Online, Reflecting on a Different Vision for the Internet

BFJ Digital Confirms Traditional SEO Fundamentals Pave the Way fo

BFJ Digital, a performance marketing and enterprise data analytics firm, has issued an industry briefing detailing a major shift in how Australian retail and e-commerce brands structure their programmatic media spend. As traditional tracking pixels and third-party browser cookies lose efficacy, a growing number of businesses are shifting ad spend away from open web models. Instead, brands move toward platforms built on verified first-party data, with the Amazon Demand-Side Platform (DSP) emerging as a primary alternative.

The Erosion of Third-Party Tracking
For over a decade, digital advertisers relied on tracking pixels embedded across external websites to monitor consumer preferences and calculate return on ad spend. However, sweeping privacy updates across mobile operating systems, changing legislation, and updated web browser architectures have sharply limited these traditional tools.

This drop in attribution accuracy forces organisations to bid on ad impressions without precise information regarding immediate intent. In response, mid-market and enterprise retailers are reallocating budgets away from conventional social media and open-web search networks. The strategic priority has pivoted toward closed-loop environments that capture consumer actions directly from the initial ad exposure to the final point-of-sale delivery.

Marketing Technology News: MarTech Interview with Miguel Lopes, CPO @ TrafficGuard

The Commercial Value of Verified Purchase Data
Rather than targeting audiences based on passive browsing patterns or outdated historical interests, closed-loop ecosystems leverage authenticated purchase histories. BFJ Digital’s briefing highlights how modern Amazon advertising methodologies utilise this infrastructure to allow brands to access granular audience signals derived from direct shopping actions, product views, and household item frequencies.

Crucially, this programmatic infrastructure functions independently of standard website storefronts. Non-endemic brands—companies that do not sell physical inventory directly on the Amazon marketplace—are adopting this methodology to capture high-intent users and direct them to independent corporate web properties or native applications.

The implementation of a closed-loop media framework delivers distinct operational adjustments:

• Elimination of Speculative Targeting: Bidding algorithms target consumers based on explicit, verified purchase intent rather than generic web history or surface-level content interaction.

• Consolidated Cross-Screen Frequency Control: Media distribution across premium streaming environments, such as Prime Video and Twitch, alongside the open web, can be managed from a centralised hub to avoid audience saturation.

• Deterministic Conversion Tracking: The direct connection between ad exposure and verified consumer accounts allows for absolute attribution clarity without relying on unstable third-party identification networks.

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

Data Sovereignty as an Operational Mandate
The migration toward walled-garden data networks highlights a fundamental shift in corporate asset management. As data privacy laws tighten across Australia and the Asia-Pacific region, relying on fragmented marketing software or loose tracking methods presents an immediate business risk. Corporate entities must achieve data sovereignty by partnering directly with deterministic data providers to protect profit margins and maintain customer acquisition efficiency.

Firms managing complex or high-volume consumer lifecycles must adapt their marketing architecture to reflect this platform evolution. Continuing to funnel capital into media pipelines that rely on decaying tracking infrastructure is increasingly unsustainable for businesses aiming to maintain clear financial oversight.

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

Grow Predictably Launches Diagnose-First Consulting for B2B Digital Marketing Agencies

0
Grow Predictably Launches Diagnose-First Consulting for B2B Digital Marketing Agencies

Grow Predictably

Helps B2B digital marketing agencies diagnose which services AI scales without commoditizing — before clients build the work in-house.

Grow Predictably announced the launch of Diagnose-First Consulting for B2B Digital Marketing Agencies, a diagnostic-first advisory practice built specifically for agency owners and partners running performance, content, demand-generation, or full-service B2B agencies between 5 and 75 employees. Unlike consulting practices that respond to margin compression with more services, more case studies, or more outbound, the practice’s methodology requires diagnosis before prescription — identifying which specific stage of the agency’s client lifecycle is allowing in-house competitors and AI-enabled buyers to compress fees before any new offering is added or any team is restructured.

You can’t fix what you haven’t diagnosed. Most growth consulting tries anyway.”

— Brian Shelton, Founder, Grow Predictably

Agency owners at this stage face a recognizable pattern: prospective clients arrive having already drafted with ChatGPT and want the agency to “review and polish” at deliverable rates that no longer cover account-management overhead; existing clients ask whether the work could be moved in-house with AI tools and a junior hire; and the team is exhausted from running pricing experiments, productizing services, and chasing the next service line — none of which seem to address the underlying compression. The practice is designed to interrupt that pattern.

Marketing Technology News: MarTech Interview with Miguel Lopes, CPO @ TrafficGuard

“Doctors diagnose before they prescribe. Most growth consulting skips step one — and agency owners pay the price,” said Brian Shelton, founder of Grow Predictably and a DigitalMarketer Certified Partner. “When margins compress, the standard advice is to add an AI service line, productize an offering, or restructure the team. But the bottleneck is usually not in the deliverable — it’s in the conversation that scopes the engagement, which is where the agency stops sounding different from the in-house team a client could hire instead. We diagnose where the differentiation actually breaks before recommending a single restructure.”

The consulting practice is built on Growth Gap Marketing, a proprietary framework Brian developed by extending DigitalMarketer’s Growth Triad — a model identifying three ingredients required for predictable growth: a documented customer journey, actionable metrics, and strategic tools and tactics — by fusing it with Eliyahu Goldratt’s Theory of Constraints. The core insight: growth stalls in B2B marketing agencies have two shapes. Most often the agency is missing one of the three ingredients entirely — no documented client journey from inbound to renewal, no actionable metrics tied to journey stages, or no strategic tools deployed where prospects actually decide between the agency and an in-house build. Sometimes all three are present but a single stage of the customer value journey acts as the binding constraint on system output. Diagnosis identifies which. Concentrated investment at the diagnosed point unlocks growth; layering more service lines across the funnel does not.

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

The engagement runs in three stages. First, diagnose: the engagement begins by mapping the agency’s client lifecycle across its eight stages — Awareness, Engagement, Subscribe, Convert, Excite, Ascend, Advocate, and Promote — then instrumenting each with actionable metrics. Common B2B agency bottlenecks: pitch-to-engagement conversion (the silent killer of agencies competing against in-house alternatives at the proposal stage), onboarding-to-strategic-trust mechanics (the Excite stage where new clients decide whether the agency is “another vendor” or “our growth partner”), expansion revenue plateau (Ascend-stage stalls where the agency keeps the original scope but never grows the account), or referral systems that depend on hope rather than design. Second, prescribe: once the stalled stage is identified, the engagement scopes the exact interventions that address it — pitch redesign for Convert-stage stalls, onboarding-architecture redesign for Excite-stage stalls, account-expansion playbooks for Ascend-stage stalls. Work at non-constraint stages is explicitly deferred. Third, execute: content-based interventions are delivered using Voice DNA methodology, an 8-dimension capture of the agency’s signature stories, expertise, beliefs, and curated knowledge that ensures agency content reads as the firm’s authentic voice rather than generic AI-generated agency copy. Every piece passes proprietary quality gates for voice alignment, fabrication prevention, and Heart & Mind balance — a scoring model aligned with Google’s E-E-A-T framework.

The practice draws on Brian’s 14+ years of B2B marketing leadership — more than three years specialized in B2B SaaS — and the proprietary frameworks he has built across that career, including Growth Gap Marketing, the AI Collaboration Matrix, The Translation Layer, The Tech Content Engine, and Voice DNA methodology, alongside deep expertise in GEO (Generative Engine Optimization) for AI-search visibility.

“The agency owners I talk to aren’t losing to better-positioned competitors — they’re losing to clients who decided they could do it themselves with three AI tools and a coordinator,” Brian added. “The fix isn’t a new service line. The fix is a redesigned conversation that names what the agency does that those three tools and a coordinator can’t.”

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