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Docusign Brings Trusted Agreement Intelligence and Workflows into ChatGPT and Codex

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Docusign Brings Trusted Agreement Intelligence and Workflows into ChatGPT and Codex

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The Docusign app for OpenAI is now available, enabling organizations to create, analyze, and act on agreements directly within ChatGPT and Codex

Docusign announced that the Docusign app is available in ChatGPT and Codex. The app brings the Docusign Intelligent Agreement Management (IAM) platform directly into OpenAI’s products, enabling organizations to securely create, analyze, manage, and take action on agreements using natural language prompts.

Every business runs on agreements from sales contracts and vendor agreements to employee onboarding documents and compliance forms. Agreements contain some of the most important data in every organization: what was sold, what was promised, when commitments renew, and what actions need to happen next. Yet that information is often trapped in disconnected systems and manual workflows, slowing decision-making and creating operational friction.

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With the Docusign app, teams can securely access trusted agreement data, insights, and workflows directly within ChatGPT and Codex. Users can ask questions, generate agreements, and take action, while Docusign-powered workflows and agents help move work forward behind the scenes.

“Contracts sit at the center of how businesses sell, operate, and grow,” said Allan Thygesen, CEO of Docusign. “With our new Docusign app, we’re connecting trusted agreement workflows directly into the AI tools that teams use today. Together with OpenAI, we’re helping teams across the enterprise move faster with greater visibility and confidence across the business.”

Instead of searching across systems or manually reviewing documents, users can simply ask:

  • “Show me customer contracts that are up for renewal in the next 90 days, and draft outreach emails for each account.”
  • “Create a vendor NDA, route it for legal approval, and notify me when it’s ready to send.”
  • “Summarize the key obligations in this supplier agreement and identify any upcoming deadlines.”
  • “Show me contracts awaiting my approval and recommend which ones need attention first.”

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The Docusign app supports a broad range of workflows across the enterprise:

  • Legal can quickly review agreements, surface key clauses and obligations, and get faster access to contract insights.
  • Sales can generate agreements, track renewals, and close deals faster.
  • Procurement can identify upcoming vendor renewals, compare supplier agreements, and monitor approval workflows.
  • HR can streamline onboarding and employee documentation processes with easier access to agreement information.
  • Finance can gain visibility into contractual commitments, obligations, and key business terms.

The Docusign app is powered by Docusign Iris, the AI engine behind Docusign’s assistant and agents. Together, they help organizations create, commit to, and manage agreements while enabling users to surface insights, automate tasks, and take action across the agreement lifecycle. By combining Docusign’s agreement expertise with the OpenAI platform, enterprises can interact with agreements in a more intuitive way while maintaining security, governance, and control.

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

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

Collibra Logo (PRNewsFoto/Collibra) (PRNewsfoto/Collibra)

Helping joint customers scale agentic AI with the governed context, semantic models, and AI lifecycle visibility that production demands.

Collibra, the leader in unified governance for data and AI, today announced at Snowflake’s annual user conference, Snowflake Summit 26, an expansion of their integration with Snowflake to deliver trusted business context and semantic consistency across the Snowflake AI Data Cloud. Building on Collibra’s recent launch of the AI Command Center, the unified control plane for governing AI across the enterprise, the expanded collaboration extends Collibra’s governance capabilities directly into Snowflake, giving joint customers a clearer path from AI experimentation to production.

Trusted context and active control for production AI

Agentic AI has changed what’s at stake. As agents take action across workflows and decisions, every output becomes a business outcome – one that directly shapes revenue, customer trust, and regulatory exposure. Yet most enterprises still oversee AI with practices built for an earlier era: manual sign-offs, scattered model registries, and point-in-time risk reviews that fall out of date the moment they’re filed. Closing that gap requires governance that operates continuously, combining trusted business context with active control across the full AI lifecycle.

Through the expanded partnership, Collibra’s enterprise context using business descriptions, ownership, quality, and definitions, flows directly into Snowflake Horizon Catalog, Cortex Analyst, and Cortex Agents. The result is natural language queries and AI agents grounded in trusted enterprise definitions, enabling more accurate, productive, and trusted business outcomes.

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Bi-directional integration across Snowflake Horizon Catalog and Cortex AI

A major focus of the expanded collaboration is a new, bi-directional integration: Collibra governed metadata, descriptions, tags, and policies flow directly into Snowflake, while Snowflake’s technical metadata and lineage flow back into Collibra. The result is consistent business context across both platforms, with governance policies and the data they protect always in sync.

  • Governance and policy enrichment (Collibra to Snowflake): Business context defined in Collibra flows natively into Snowflake. This makes governed metadata instantly accessible to Snowflake AI Data Cloud users and provides critical policy guardrails for secure enterprise wide operations.

  • Semantic enrichment for AI (Collibra to Snowflake): Semantic models governed in Collibra – aligned with the Open Semantic Interchange (OSI), the open, vendor neutral standard that Collibra joined as a member – can be published into Snowflake as OSI documents or Snowflake Semantic Views, powering more accurate, business ready, and compliance-supporting Cortex Analyst experiences and Cortex Agents.

  • Automated traceability (Snowflake to Collibra): Technical metadata and technical lineage from Snowflake are automatically harvested into Collibra, ensuring the enterprise system of engagement is continuously updated with the latest technical reality of the data landscape. Collibra’s newly launched AI Command Center helps organizations control every AI system with built in trust signals and end-to-end traceability.

  • Scalable data access management (Bi-directional between Collibra and Snowflake): Policies and Fine-Grained Access Controls managed, automated, and audited in Collibra are provisioned in Snowflake. Access requests, policy enforcement, and usage visibility are centralized, by which over privileged access is reduced, provisioning is sped up, and compliance reporting is made far easier.

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Collibra’s AI Command Center: The control layer for agentic AI on Snowflake

Collibra’s AI Command Center provides the control layer, giving organizations real-time visibility across the full AI lifecycle, with end-to-end traceability spanning data sources, models, decisions, and outcomes. Together, Collibra and Snowflake help enterprises move fast with agentic AI while maintaining the governance and oversight that production demands.

Through this integration, Snowflake Cortex Analyst, Cortex Agents, and downstream AI applications can operate with that same governed, business ready context, supported by Collibra’s broader AI governance capabilities. Collibra’s MCP Server delivers governed metadata and business context including certifications, quality scores, and usage policies to AI agents in real time, before they act.

Scaling agentic AI on the Snowflake AI Data Cloud

For enterprises building on Snowflake, this is more than a deeper integration—it’s the foundation for production grade agentic AI. Joint customers can scale confidently, with the regulatory compliance, model risk management, and data trust that their business demands.

“Data and AI are only as valuable as the context around them, and our expanded collaboration with Collibra is about delivering that context and the control to act on it, seamlessly to our customers,” said Amy Kodl, SVP of WW Partner and Alliances at Snowflake. “By enabling bi-directional metadata synchronization with Snowflake and grounding Cortex Analyst and Cortex Agents in business semantics, we’re helping organizations accelerate their path to data driven insights and trusted AI at production scale.”

“The future of data lies in making context and governance an inherent part of the AI fabric,” said Chandra Papudesu, VP, Product Management, Integrations & Lineage at Collibra. “This strengthened partnership with Snowflake, and the bidirectional integration, gives our joint customers the foundation to scale agentic AI from experimentation to production with confidence.”

The integrations are available in preview to a select group of joint customers, with broader availability planned for Q3 2026. To request access, contact your Collibra or Snowflake account team.

For those attending the Snowflake Data Cloud Summit 2026, visit the Collibra Booth #1008 for a live demonstration of Snowflake Horizon Catalog, Cortex Analyst, and Cortex Agents, grounded in Collibra’s governed business context.

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CoSchedule Launches Smart Editor: An AI-Powered Writing and Editing Workspace For Marketers

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Docusign Brings Trusted Agreement Intelligence and Workflows into ChatGPT and Codex

coschedule-logo | Propel Marketing & Design, Inc.

CoSchedule unveils Smart Editor, combining collaborative editing and AI assistance to accelerate content creation and marketing execution.

CoSchedule today announced the launch of Smart Editor, a modern AI-powered editing workspace built specifically for marketing teams. Smart Editor combines collaborative document editing with AI assistance directly inside CoSchedule’s marketing calendar and project workflows.

Teams can move from rough ideas to polished, publish-ready content faster, all while staying connected to their campaigns and workflows.”

— Garrett Moon, CEO, CoSchedule

As marketing teams face increasing pressure to produce more content across more channels, Smart Editor provides a centralized workspace where teams can brainstorm, draft, edit, optimize, and finalize content without switching tools.

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“Smart Editor brings the speed and familiarity of today’s best document editors with AI capabilities built specifically for marketing projects,” says Garrett Moon, CEO of CoSchedule. “Teams can move from rough ideas to polished, publish-ready content faster, all while staying connected to their campaigns and workflows.”

Smart Editor gives marketing teams a smart workspace to draft blogs, campaign copy, social posts, emails, and more inside a powerful WYSIWYG editor designed for speed and collaboration. Content stays connected directly to the projects and campaigns it supports, keeping teams organized from first draft to final publish.

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Key capabilities include:
AI-Powered First Drafts – Smart Editor’s built-in AI Assistant and Prompt Library generates first drafts, brainstorms headlines, expands ideas, summarizes content, and refines messaging in seconds.

Flexible AI Support – Teams can choose their preferred AI: OpenAI or Anthropic, directly in Settings, then work with AI to generate ideas and refine content on demand.

One-Click Editing Tools – With a few clicks, users can adjust tone, shorten or expand sections, improve clarity, repurpose content, convert text to bullets, humanize copy, and fix grammar and spelling.

Brand Compliance and SEO – With CoSchedule’s AI Brand Profiles, teams can run a Compliance Check or SEO Enhancer directly from the editor sidebar to ensure AI-written content is aligned with their brand standards.

Version History – Experiment freely without losing work. Version history lets teams review previous edits, compare changes, and restore earlier versions at any time.

How Smart Editor Works
Smart Editor is accessible directly inside CoSchedule. Teams can open any project on their calendar, select Smart Editor under Add Attachments, and begin writing immediately. From there, the AI chat bar and inline editing tools are always within reach, with the SEO Enhancer and Compliance Check available from the sidebar and export options ready when content is finished.

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Market Logic Network Develops Business Knowledge Systems for AI-Ready Operations

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Market Logic Network Develops Business Knowledge Systems for AI-Ready Operations

Company helps businesses organize internal knowledge, workflows, CRM data, and operational processes into structured systems that support smarter AI adoption

Market Logic Network LLC, announced the development of Business Knowledge Systems designed to help companies organize internal information, workflows, documents, customer data, and operating procedures for more effective AI-ready operations.

Our role is to help companies turn scattered data into usable business infrastructure”

— Jordi Argomaniz, Co-founder at Market Logic Network

As businesses adopt AI tools across marketing, sales, customer service, administration, and operations, many are discovering a critical limitation: AI is only as useful as the knowledge system behind it. When company information is scattered across emails, spreadsheets, folders, CRM notes, chat messages, and disconnected tools, AI cannot reliably support execution, decision-making, or automation.

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Market Logic Network’s Business Knowledge Systems help companies centralize and structure the information that powers daily operations. This may include CRM data, service documentation, sales processes, onboarding materials, frequently asked questions, internal SOPs, product information, client communication standards, and workflow logic.

The service is designed for companies that want to move beyond basic AI experimentation and prepare their operations for practical, context-aware automation. Market Logic Network helps businesses create systems that make internal knowledge easier to access, easier to update, and easier to connect with CRM, marketing automation, customer service, reporting, and AI-assisted workflows.

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

Business Knowledge Systems can support sales teams with better discovery notes, customer histories, proposal logic, and follow-up standards. They can support marketing teams with brand messaging, service descriptions, content guidelines, campaign history, and lead segmentation logic. They can support operations teams with process documentation, task workflows, internal approvals, and service delivery procedures.

With this development, Market Logic Network reinforces its role as a premium international partner for companies preparing their operations for the next stage of AI-enabled business execution.

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Matia Launches on Snowflake Marketplace, Bringing Unified Data Operations to the AI Data Cloud

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Bluefish Launches Agentic Campaigns to Power AI Optimization Workflows for the Fortune 500

Matia

Matia, the unified data operations platform, announced at Snowflake Summit 26 it has launched on Snowflake Marketplace, giving joint customers a faster path to deploying Matia’s ETL, reverse ETL, observability, and catalog capabilities directly alongside their Snowflake AI Data Cloud environment. The listing makes it simpler than ever for customers to discover, evaluate, and adopt Matia as the operational backbone for their data infrastructure.

Matia is live on Snowflake Marketplace. Unified ETL, reverse ETL, observability, and catalog — deployed on your Snowflake AI Data Cloud in a fraction of the time

As more organizations standardize on Snowflake as the foundation for analytics and AI, data teams are looking to reduce tool sprawl and consolidate the systems that move, monitor, and activate their data. Matia’s presence on Snowflake Marketplace streamlines procurement and accelerates time to value for teams that want a single, unified platform purpose-built to operate on top of Snowflake.

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“Snowflake is the center of gravity for modern data teams, and our customers have been asking for the simplest possible path to running Matia alongside it,” said Benjamin Segal, Co-founder and CEO of Matia. “Being on Snowflake Marketplace removes friction from that journey. Joint customers can stand up unified ETL, observability, reverse ETL, and catalog in a fraction of the time, with the same trust and governance they already rely on in Snowflake.”

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Together, Matia and Snowflake help customers:

  • Streamline the data stack by replacing fragmented point solutions with a single platform that runs ETL, observability, catalog, and reverse ETL on top of Snowflake
  • Accelerate AI readiness with trusted, well-governed data and end-to-end lineage purpose-built for Snowflake Cortex AI and the applications built on it
  • Reduce total cost of ownership, with customers consolidating onto Matia reporting up to 61% lower data infrastructure spend compared to maintaining separate tools
  • Simplify procurement through Snowflake Marketplace, with streamlined deployment for new and existing Snowflake customers

Matia is already trusted by data teams at Ramp, Drata, HoneyBook, and Lemonade to run their data operations at scale. The Snowflake Marketplace listing builds on Matia’s mission to unify the modern data stack — helping teams streamline their tools, accelerate collaboration, and operate data systems with the same reliability expected of modern production infrastructure.

Snowflake Marketplace helps companies expand what’s possible with data and AI through third-party data, apps and AI products. With on-platform purchasing and immediate access to data products, Snowflake Marketplace lowers integration costs and streamlines procurement processes. By delivering data, apps and AI products directly to the customers’ data, providers deliver a superior customer experience, accelerate revenue growth and increase margins.

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AdPlus Claims adplus.com and adplus.ai as Platform Nears 400 Users and Surpasses 750 Campaigns

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

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Boston startup doubles its user base in weeks after going public, secures its brand domain, and keeps building

AdPlus, the AI-powered cross-channel ad platform built for SMBs and in-house marketing teams, today announced it has secured the adplus.com domain. The company is approaching 400 registered users who’ve collectively built more than 750 campaigns and generated thousands of ad creatives across its 12 supported networks.

We’re past the phase where we’re trying to convince people this is a real product. Real teams are running real campaigns on adplus.com and adplus.ai. The URL should match what we’ve actually become.”

— Elie Fossi

When AdPlus opened its public beta in April under getadplus.com, the goal was straightforward: give lean marketing teams one place to plan, build, and launch campaigns across every major ad platform without hiring a specialist for each one. What’s happened since then has been faster than expected.
The platform went fully public in May with nearly 200 beta signups on the books. It’s now close to doubling that. More telling than the user count is what those users are actually doing: they’re building campaigns. More than 750 of them, with thousands of AI-generated creatives to go with them. Moving to a clean brand domain felt like the right next step for a product that’s clearly past the “proof of concept” stage.
“We’re past the phase where we’re trying to convince people this is a real product,” said Elie Fossi, Founder of AdPlus. “Real teams are running real campaigns on adplus.com. The URL should match what we’ve actually become.”

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The platform’s growth has come largely without paid acquisition. Word of mouth and organic discovery have driven most of the momentum, which the team takes as a sign the product is earning its keep rather than buying it.

Since going public in May, AdPlus has shipped workspaces for multi-brand and agency use, persona-driven onboarding that adapts the AI planner to each user type, auto-generated brand kits pulled from a single URL, and configurable creative generation modes built for both founders who want speed and specialists who want control. The product has moved fast. So has the user base.

“In April we had a handful of beta testers and a domain with ‘get’ in front of the name,” said Todd Gordon, Head of Growth and Performance at AdPlus. “Two months in, we’ve got hundreds of users, hundreds of campaigns live, adplus.com as well as the adplus.ai domain. That progression tells the story.”
Alongside the domain move, AdPlus is introducing a free launch pilot for new customers. Bring a store URL and a goal. The team plans the campaign, generates the creatives, and launches across two ad networks within five business days at no cost. Customers keep the ad accounts, the data, and the audiences regardless of what they decide next. If they subscribe after the pilot, they get $50 off their first month as a thank-you.

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– Plan + creatives + launch, done for you
– Done in 5 business days
– You keep the ad accounts and data
– $50 off month 1 if you subscribe

AdPlus currently supports 12 ad networks: Google, Meta, LinkedIn, TikTok, Amazon, Microsoft, Pinterest, Snapchat, Reddit, Spotify, Apple Ads, and X. Plans include Starter (free, 2 networks), Pro ($99/month, all 12 networks), Agency ($399/month, white-label and 10 seats), and Enterprise with custom pricing.
The platform is available at adplus.com.

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Semarchy Launches Snowflake Connected App for Governed Data Products and Enterprise AI

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Content.One Launches MCP-enabled AI CMS for Multi-Site Organizations, Letting Marketers Build Entire Sites in Minutes

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Semarchy, a recognized leader in master data management (MDM) solutions and a Select Snowflake partner, announced the Semarchy Data Platform (SDP) Connected App at Snowflake Summit 26, the annual user conference by Snowflake, the AI Data Cloud company. The offering will be available through the Snowflake Marketplace, enabling customers to simplify procurement and apply Snowflake Marketplace Capacity Drawdown (MCD) credits toward investments in governed data products for AI and analytics initiatives.

“Enterprise AI only works when it’s built on trusted data, but trust alone isn’t enough. AI needs context and meaning to reason correctly.”

The SDP Connected App is a self-managed deployment of the Semarchy Data Platform designed for enterprises creating, governing and delivering trusted data products directly within Snowflake. The offering tightly integrates with the Snowflake ecosystem to help organizations operationalize DataOps initiatives, streamline AI-driven data management and accelerate the delivery of governed data products while maintaining data residency and governance within their Snowflake environment.

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Semarchy announced its MDM native application for Snowflake last year and has since seen growing customer adoption across industries and geographies.

“Enterprise AI only works when it’s built on trusted data, but trust alone isn’t enough. AI needs context and meaning to reason correctly. Semarchy’s governed data products deliver both, certified master data with semantic understanding embedded directly into the data product, not bolted on after the fact,” said Craig Gravina, Chief Technology Officer at Semarchy. “With the SDP Connected App, this entire capability runs inside the customer’s Snowflake ecosystem. Native integration with Cortex AI powers semantic matching, enrichment, and validation within the certification lifecycle, while integration with Snowflake CoCo (formerly Cortex Code) accelerates DataOps delivery, enabling teams to build, govern, and evolve data products at scale. Zero egress, zero external infrastructure.”

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The SDP Connected App enables joint customers to:

  • Maintain zero data egress by keeping processing, storage and consumption within the Snowflake tenant
  • Accelerate development with AI Data Engineering — Semarchy’s Agentic Design works seamlessly with Snowflake CoCo enabling a unified development environment
  • Invoke Cortex AI natively for semantic matching, enrichment and validation within the governed certification lifecycle
  • Deliver governed data products to Cortex AI agents through MCP endpoints with certified golden records and semantic context
  • Support AI, analytics, Customer 360 and regulatory initiatives with governed enterprise data products

“Organizations building modern data and AI strategies on Snowflake need trusted, governed data that can be operationalized across the enterprise,” said Prabhath Nanisetty, Global Industry Leader for Technology and AI at Snowflake. “Semarchy’s SDP Connected App is designed to help customers implement master data management directly within their Snowflake environment, which will enable them to accelerate DataOps initiatives, improve data trust and deliver governed data products for analytics and AI workloads.”

The SDP Connected App will be available through the Snowflake Marketplace and eligible for Marketplace Capacity Drawdown (MCD), enabling procurement against committed Snowflake credits. Semarchy will showcase the offering at booth #1301 during Snowflake Summit 26 this week in San Francisco.

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Immuta Launches New Agentic Data Access Capabilities on Snowflake AI Data Cloud

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Ogury Launches SONA, an Agentic Solution to Improve Consistency Between Audience Planning and Campaign Execution

Immuta - The Data Provisioning Company

New integrations, powered by Snowflake, help joint customers govern AI agent access, provision data at machine speed, and unlock natural language compliance insights across the Snowflake AI Data Cloud

Immuta, the Data Provisioning Company, announced at Snowflake’s annual user conference, Snowflake Summit 26, the launch of three new capabilities on the Snowflake AI Data Cloud. These capabilities, powered by Snowflake, will help joint customers to provision and govern data access for AI agents at enterprise scale, delivering trusted, policy-driven access for every data consumer, human or AI, without slowing innovation.

“The bottleneck for enterprise AI isn’t the model, it’s the trust,” said Steve Touw, CTO and Co-founder at Immuta. “By combining Snowflake Cortex AI’s native query planning with Immuta’s policy-driven access provisioning, joint customers can now deploy AI agents that are both highly capable and strictly governed. That’s what it means to provision data for the agentic era.”

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By leveraging the Snowflake AI Data Cloud, Immuta is joining Snowflake in helping organizations scale governed access for every user and AI system. The three new capabilities, available on Snowflake Marketplace, address some of the most pressing challenges enterprises face as they deploy agentic AI at scale:

  • Immuta Agentic Data Access, Powered by Snowflake Cortex AI: This capability enables AI agents to interact with enterprise data using natural language, leveraging Cortex for query planning while Immuta enforces access boundaries at the session level. For every agent interaction, Immuta vends a unique, temporary role scoped to the user the agent is acting on-behalf-of, so no agent can access data beyond what the authorizing user is permitted to see.

  • Agent Principal Context: Immuta extends Snowflake’s agent principal contexts to govern outbound agentic access to data outside of Snowflake. Access is provisioned dynamically with zero standing privileges, and every agent interaction is captured in a dual-identity audit trail, tying agent activity back to the authorizing user.

  • The Immuta “Comply” App for Snowflake Horizon Catalog: this natural language interface allows compliance and security teams to query their Horizon environment in plain English, turning complex permission structures into transparent, searchable, actionable insights.

“As AI agents become central to how enterprises interact with data, governance capabilities must keep pace,” said Prasanna Krishnan, Head of Horizon Catalog and Marketplace, Snowflake. “We look forward to driving deeper value for Snowflake’s AI Data Cloud ecosystem through collaboration with Immuta to allow access to governed, policy-driven agentic data access through Snowflake’s single, integrated platform.”

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Partnering with Snowflake to launch these new capabilities, Immuta enables joint customers to govern AI agent access at enterprise scale without sacrificing speed or compliance.

Industry leading applications are powered by Snowflake. By building tools, applications and solutions on Snowflake, product and engineering teams are able to develop, scale, and operate without operational burden, delivering differentiated products to their customers. Snowflake AI Data Cloud Product Partners help customers maximize Snowflake’s flexibility, performance, and ease of use to deliver more meaningful insights. AI Data Cloud Services Partners provide industry experience, technical expertise, and strategic best practices to help customers mitigate risk and drive business value with Snowflake throughout their entire data and AI journey.

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New Relic Celebrates Strategic Partnership with Microsoft at Build 2026

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New Relic Celebrates Strategic Partnership with Microsoft at Build 2026

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Observability leader grew customer committed bookings through Microsoft Marketplace transactions by double digits over recent 12 months

Collaborative innovations empower development, ITOps, DevOps, SRE and platform engineering teams to automate incident resolution to reduce MTTR and boost productivity

New Relic, the Intelligent Observability Company, is at Microsoft Build 2026 this week to showcase innovations from its longstanding strategic partnership with Microsoft and celebrate recent sales momentum. New Relic continues to see strong customer demand with Microsoft evidenced by strong double-digit year-over-year growth of committed bookings through the Microsoft Azure Marketplace for the period ending March 31, 2026.

New Relic announced at Build 2026 that it grew customer committed bookings through Microsoft Marketplace transactions by double digits over recent 12 months.

Empowering customers to unlock business value in the AI era with Azure and GitHub innovations

New Relic shares a history of innovation over their 14 years of partnership with Microsoft, evolving to continually stay ahead of market needs. Over the past year, New Relic has delivered a suite of solutions to help Azure customers navigate today’s complex technology environment. As enterprises increasingly deploy autonomous agents and AI-generated code, the collaboration between New Relic and Microsoft remains focused on providing observability directly into the Azure and GitHub workflows where developers and SREs live every day. As a result, teams can surface actionable insights and automate incident detection, root cause analysis and remediation. Integrations include:

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  • Agentic AI integrations with Azure: New Relic’s agentic AI integrations with Microsoft Azure are designed to reduce mean time to resolution (MTTR) of incidents and enhance developer productivity. The cornerstone of this innovation is the New Relic Model Context Protocol (MCP) Server, which embeds Intelligent Observability insights directly into the Azure SRE Agent. New Relic Monitoring for Microsoft Foundry ingests logs and metrics from Azure into New Relic, delivering a nuanced and insightful dashboard view of an application or agent’s performance. Learn more here.
  • AI-strengthened innovations with GitHub: Designed to enhance developer productivity and security, the company released New Relic Security RX integration for GitHub Copilot that uses runtime context to detect, evaluate, and suggest remediation for software vulnerabilities. The GitHub Actions integration helps eliminate observability blind spots by detecting and helping to resolve missing instrumentation during deployment. By embedding Intelligent Observability insights directly into developers’ workflows, New Relic empowers enterprises to reduce manual troubleshooting and accelerate the delivery of secure, high-performing code. Learn more here.
  • Coding Agent integration: New Relic integrated its AI-strengthened technology with GitHub Copilot’s coding agent to transform manual change validation and incident response into an automated, AI-driven process. By establishing a virtuous cycle of continuous improvement through intelligent agents, the integration can significantly boost system reliability and developer productivity.

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“Our strategic partnership with Microsoft is built on the shared goal of helping customers adopt AI at scale with confidence. At Build 2026, we are showcasing how New Relic and Microsoft are pushing the boundaries of software to drive truly actionable, autonomous intelligence,” said Thomas Lloyd, Chief Business and Operations Officer at New Relic. “By bringing together our AI-strengthened deep observability insights with a number of Microsoft’s own AI agents, we’re allowing customers to move beyond insights to independent, real-time action. This ongoing collaboration is about delivering together upon the future promises of AI with technology available to our joint customers, today.”

Accelerating time-to-value via Microsoft Marketplace

New Relic is a featured partner in Microsoft Marketplace, allowing customers to use their existing Azure consumption commitments (MACC) to easily deploy observability across their organization. New Relic Monitoring for SAP Solutions, the only agentless certified RISE with SAP observability solution on the market, is also available in the Marketplace, delivering superior performance and minimizing interruptions for Azure customers.

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Growtheon Challenges Legacy Agency Software With AI-Powered Growth Platform

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Headless or walled: Cordial draws the line on how AI agents should work

Growtheon

New all-in-one platform gives agencies CRM, automation, AI voice, funnels, websites, and client management without bloated software stacks.

Growtheon announced the launch of its AI-powered growth platform, positioning the company as a direct and disruptive alternative to HighLevel and the legacy agency software model.

When we got banned from HighLevel, I realized agencies needed a platform they could actually control. That moment lit the fire for Growtheon.”

— John M. Deleman – Founder, Growtheon

HighLevel, also known by many agencies as GoHighLevel, has become one of the best-known all-in-one sales and marketing platforms for agencies. It combines tools such as CRM, funnels, websites, workflows, messaging, appointment booking, marketing automation and white-label capabilities into one system. For years, agencies have used platforms like HighLevel to manage client campaigns, automate follow-up, resell software and operate their businesses from a central dashboard.

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But for Growtheon founder John M. Deleman, the relationship with that model ended with a hard lesson: agencies need more than software. They need control.

According to Growtheon, Deleman previously built inside the HighLevel ecosystem and believed he was operating within the rules. The company says that after being told he was compliant, his account was terminated days later without warning and client accounts were moved out of his control. Instead of rebuilding on another platform with the same risks, Deleman decided to build his own.

“That was the moment everything changed,” said John M. Deleman, Founder of Growtheon. “I remember saying, ‘Yeah, we’re going to end up replacing HighLevel.’ It was not a slogan. It was a decision. When you realize someone else can control the foundation of your business, you either accept it or you build something better.”

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Growtheon was created as an independent AI-powered CRM and agency growth platform designed to help businesses manage leads, automate workflows, build funnels and websites, communicate with clients, organize pipelines, deploy AI-powered systems and scale without stacking multiple subscriptions.

The company’s message is simple: agencies should not have to pay more just because they grow.

“In my opinion, the old model was squeezing agencies,” Deleman said. “You pay more, stack more tools, get locked in deeper and still do not fully control the system your clients depend on. I felt ripped off by the way the industry was moving, and I knew other agency owners felt the same pressure. Growtheon is our answer to that.”

Growtheon offers an all-in-one platform that includes CRM, automation, funnels, websites, email and SMS marketing, calendar tools, pipeline management, AI assistants, white-label capabilities, client communication and agency-focused infrastructure. The company positions its pricing around a flat, transparent model, including a $97 per month plan designed to give agencies access to the tools they need without the escalating software costs that often come with growth.

“HighLevel proved there was demand for an all-in-one agency platform,” Deleman added. “But no category stays untouchable forever. Growtheon is not here to be a clone. We are here to build the platform we wish existed before we got banned.”

The launch comes as agencies, marketers and SaaS operators are looking for more control over their tech stack, client accounts, automation systems and recurring revenue models. Growtheon is entering the market with a strong founder-led story, a direct competitor position and a mission to help agencies stop renting their future from platforms they do not control.

“What happened to us could have ended the business,” said Deleman. “Instead, it became the blueprint. We took the frustration, the pressure and the lesson from that experience, and we turned it into a platform built for agency owners who refuse to get boxed in.”

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Flexor Announces Integration with Snowflake to Bring AI-Ready Unstructured Data Context right into the Snowflake AI Data Cloud

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Flexor Announces Integration with Snowflake to Bring AI-Ready Unstructured Data Context right into the Snowflake AI Data Cloud

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Flexor’s AI Context Engine (ACE), natively integrated with the Snowflake AI Data Cloud, enables enterprises to transform unstructured data into structured, AI-ready context right inside Snowflake, powering reliable agentic AI and analytics workflows at scale.

Flexor, the unstructured AI context company, announced at Snowflake Summit 26 an integration with Snowflake, the AI Data Cloud company. Flexor’s AI Context Engine (ACE) integrates natively into the Snowflake AI Data Cloud, enabling enterprises to transform unstructured data such as emails, calls, notes, documents, support tickets and agent chats into structured, AI-ready context that powers trusted enterprise AI at scale.

Organizations are investing heavily in AI agents and applications, yet most can’t be trusted in production. The core obstacle is context: AI systems lack the organizational knowledge they need to understand the business, avoid hallucinations, and deliver consistent, trustworthy outputs. Flexor ACE solves this by unifying fragmented unstructured data, enriching it with data and business context, and delivering that context natively within the Snowflake environment where enterprise data already lives.

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

“Enterprise AI is stuck because AI agents don’t know the business,” said Or Zabludowski, CEO of Flexor. “By partnering with Snowflake and integrating ACE natively into the Snowflake AI Data Cloud, joint customers gain a new layer: rich organizational context derived from their own unstructured data, including emails, calls and PDFs, living securely inside Snowflake. AI agents can perform as if they have known the organization for years.”

Flexor ACE unifies to enterprise unstructured data sources across the organization and delivers AI-ready context directly into existing data stacks, including Snowflake Cortex AI:

  • Automated unification and data preparation: Normalizing, deduplicating, and standardizing unstructured inputs (from PDFs through call transcripts) for consistent AI consumption
  • Data and relationship context: Understanding connections between documents, emails, attachments, and conversations across sources
  • Business and domain understanding: Recognizing company-specific terminology, naming conventions, and organizational structures
  • Knowledge consistency across pipelines: A single, unified context layer ensures every LLM and AI agent works from the same organizational understanding, guaranteeing consistency and lowering costs.
  • Enterprise security and governance: Full AI explainability and lineage, privacy and security, providing observability and trust across pipelines.

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

“We’re excited to see innovations that help enterprises unify and contextualize their unstructured data reflecting the kind of innovation our customers need,” said Amy Kodl, SVP, Worldwide Alliances & Channels at Snowflake. “As organizations continue to adopt AI, strong data foundations and meaningful context remain essential for delivering reliable outcomes.”

Flexor ACE is available for use on the Snowflake AI Data Cloud. Joint customers can utilize their unstructured enterprise data sources on Snowflake through Flexor ACE without moving data outside their existing secure environment, enabling AI workflows across industries such as financial services, retail, and telecommunications.

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Infometry Partners with dbt Labs to Accelerate AI-Ready Data Transformation

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MTS Staff Writer
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Infometry Partners with dbt Labs to Accelerate AI-Ready Data Transformation

Infometry and dbt Labs partner to deliver scalable analytics engineering and AI-ready data transformation solutions.

Infometry, an AI and data solutions company specializing in enterprise modernization and intelligent analytics, today announced its strategic partnership with dbt Labs, the pioneer of analytics engineering and creator of dbt™ (data build tool).

Partnering with dbt Labs strengthens our ability to deliver trusted, scalable, and AI-ready data solutions that accelerate enterprise innovation and analytics transformation.”

— Padma, Project Manager of Infometry

The partnership strengthens Infometry’s ability to help enterprises modernize legacy data ecosystems, accelerate cloud transformation initiatives, and build trusted, AI-ready data foundations using modern analytics engineering practices.

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By combining Infometry’s expertise in AI solutions, data engineering, cloud modernization, and enterprise analytics with dbt Labs’ industry-leading transformation framework, organizations can improve data reliability, governance, operational efficiency, and time-to-insight.

Through this partnership, Infometry will help enterprises:
–> Modernize analytics and data transformation workflows
–> Build scalable and governed cloud data platforms
–> Enable AI-ready data architectures
–> Improve data quality, observability, and trust
–> Accelerate enterprise analytics and self-service reporting

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As organizations continue investing in AI, modern data stacks, and cloud-native platforms, the need for reliable and well-modeled data has become critical. Infometry and dbt Labs will work together to help enterprises operationalize trusted data pipelines and accelerate business outcomes through analytics engineering best practices.

Infometry continues to expand its strategic partner ecosystem across AI, cloud, data, and analytics technologies to deliver innovative, outcome-driven enterprise solutions for global customers.

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Broadvoice Launches GoEngage and AI Analyst, Bringing Voice AI and Conversational Insights to GoContact

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Business Wire
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Broadvoice Launches GoEngage and AI Analyst, Bringing Voice AI and Conversational Insights to GoContact

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New AI capabilities mark the next evolution of Broadvoice’s unified brand, bringing autonomous voice handling and real-time decision support to contact centers worldwide

Broadvoice, a leader in AI-powered customer experience solutions, announced GoEngage and AI Analyst, two new AI capabilities for GoContact.

GoEngage automates inbound voice interactions with a natural, human-like cadence. AI Analyst gives contact center leaders instant answers to operational questions without waiting for reports or dashboards. Together, they mark a major milestone in Broadvoice’s AI strategy and the next stage in its unified brand evolution.

“The future of customer experience isn’t just AI that answers questions—it’s AI that understands, acts, and advises,” said Broadvoice Chief Product Officer Gurdip Jande. “With GoContact AI, organizations can automate customer interactions, execute business workflows, seamlessly escalate to human experts with full context, and equip every supervisor with an AI Analyst that transforms data into decisions. That’s how we help businesses deliver exceptional customer experiences at scale.”

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

GoEngage: AI Voice Automation for Inbound Conversations

Built on speech-to-speech technology, GoEngage processes audio directly to catch tone, interruptions, and natural pauses, then responds with human-like fluidity. Callers explain what they need in their own words, and GoEngage handles the request. When conversations need a human, it passes full interaction history for a contextual handoff.

AI Analyst: Ask Your Contact Center What’s Happening

AI Analyst gives CX leaders a conversational way to explore performance in plain language and get insights based on their data.

Leaders can ask: “What caused the increase in escalations today?” or “Which queues are most at risk of missing service levels?”

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

Two Decades of Conversations: Now With AI

Both products extend a CX platform already serving healthcare, financial services, and growing enterprises across North America, EMEA, and Latin America. Broadvoice research has found that customers see up to a 250% return on contact center AI investments.

“Broadvoice was built on the belief that conversations matter,” said Jim Murphy, CEO of Broadvoice. “Twenty years later, that hasn’t changed. What has changed is what technology can do inside those conversations. With GoEngage and AI Analyst, we’re helping businesses use AI to answer more customer needs, understand what’s happening across their operation, and deliver experiences at scale.”

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Brick Marketing Introduces AI Marketing Solutions That Integrate SEO, GEO, Content, and Social Media

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Brick Marketing Introduces AI Marketing Solutions That Integrate SEO, GEO, Content, and Social Media

Brick Marketing Introduces AI Marketing Solutions That Integrate SEO, GEO, Content, and Social Media

Brick Marketing, a Boston based digital marketing firm, announced the expansion of its AI marketing solutions designed to integrate search engine optimization, Generative Engine Optimization for AI search, content marketing, and social media into a unified approach focused on measurable business outcomes. In addition to hands on services, Brick Marketing also provides professional training and consulting to help organizations build internal knowledge and long term digital marketing capability.

Brick Marketing works with organizations to plan, implement, and optimize digital marketing programs that support growth, visibility, and lead generation. The firm’s AI marketing solutions are built to address how buyers now discover and evaluate brands through both traditional search engines and AI powered search experiences.

Rather than treating SEO, AI search, content marketing, and social media as separate efforts, Brick Marketing aligns these disciplines into a single strategy. SEO establishes a strong foundation for discoverability and relevance. GEO helps ensure brands are clearly understood and surfaced within AI generated search results. Content marketing provides education, clarity, and authority for buyers at every stage of the journey. Social media reinforces visibility and amplifies content across platforms where audiences actively engage.

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“AI has accelerated changes in how people search, but it has also highlighted the need for marketing programs to work together,” said Nick Stamoulis, President of Brick Marketing. “Our approach brings strategy, execution, and education together so businesses are not managing disconnected tactics. By integrating SEO, AI search, content, and social media, we help organizations focus on outcomes that actually support business goals.”

A core element of Brick Marketing’s AI marketing solutions is the emphasis on outcomes over activity. Instead of focusing on individual channel metrics, the firm helps clients understand how digital efforts contribute to engagement, lead quality, conversion paths, and long term growth. AI is used to support research, analysis, and optimization while keeping strategy grounded in real buyer behavior and organizational objectives.

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Content marketing plays a central role in the integrated framework. Brick Marketing develops and refines content that supports both traditional search and AI search while addressing the questions and needs of target audiences. Content strategies are informed by performance data and adjusted over time to ensure marketing resources are invested where they create the greatest impact.

SEO (https://www.brickmarketing.com/seo) and GEO (https://www.brickmarketing.com/aio-geo-search) work together within the framework to support visibility and clarity. Technical optimization, structured information, and consistent messaging help ensure content is accessible and meaningful to both search engines and AI systems. This alignment allows brands to maintain strong organic performance while expanding visibility within AI driven discovery experiences.

Social media is incorporated as a strategic extension of content and search efforts. Rather than operating independently, social channels are used to support awareness, engagement, and content distribution. This approach increases reach, reinforces brand messaging, and helps maximize the value of content investments.

In addition to delivering digital marketing services, Brick Marketing offers professional training and consulting solutions. These programs are designed for business leaders and marketing teams who want to better understand SEO, AI search, content marketing, and measurement. Training and consulting engagements help organizations strengthen internal skills, improve decision making, and align marketing efforts with business priorities.

Brick Marketing’s AI marketing solutions are applied across a wide range of industries, including technology, professional services, manufacturing, healthcare, logistics, and ecommerce. The firm works with both B2B and B2C organizations and customizes each engagement to align with specific goals, audiences, and growth objectives.

As AI continues to influence how information is discovered and consumed, Brick Marketing believes integration and education are essential. Organizations that align strategy, execution, and learning are better positioned to adapt and achieve sustainable results.

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AZ8 Launches AZ8 Theater to Showcase AI-Native Storytelling and Emerging Creators

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

AZ8 announced the launch of AZ8 Theater, a content platform and story brand built for the AI era. Created to discover original voices, new worlds, unforgettable characters, and next-generation cinematic content, AZ8 Theater will spotlight AI-native shorts, pilots, creator projects, worldbuilding, and behind-the-scenes stories from a new generation of filmmakers.

The launch expands AZ8’s vision beyond AI creation tools. Through AZ8 Studio, creators can plan, generate, organize, and refine multimedia projects inside an all-in-one canvas workspace. Through AZ8 Theater, those stories can be showcased, developed, and shared with broader audiences.

“AZ8 is building more than a tool platform,” said Kevin, spokesperson for AZ8. “We are building a story brand for the AI era. AZ8 Studio gives creators one canvas to bring ideas, images, videos, audio, 3D scenes, and AI models together, while AZ8 Theater gives emerging creators and original stories a place to be discovered.”

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At the center of AZ8’s creation ecosystem is its canvas-based workflow. Instead of switching between disconnected tools for text, image, video, audio, 3D scenes, and different AI models, creators can manage the production process inside one workspace. AZ8 Studio supports workflows including text to video, image to video, image generation, video generation, asset management, scene refinement, and repeatable project organization.

This all-in-one approach is designed for creators producing cinematic shorts, pilots, series concepts, and story-driven videos. By placing prompts, visual references, generated assets, character materials, audio, and scene nodes on a single canvas, AZ8 Studio helps creators move from one-off generation toward a more structured production workflow.

As part of the AZ8 Theater launch, AZ8 is highlighting a slate of AI-native works and creators that reflect the range of stories emerging from this new creative landscape. Featured projects include The Last Requiem by Invincible Star Orange Studio; Eden, directed by Yangsheng and Susy; METABOLISM by Liu Chang and FINE PICTURES; The Chair, written by Er Gou and directed by Tang Jiawen from Ningbo University—Film and Television Creation & Production Studio; KOKO’s Cosmic Adventure by Double Chin Studio; The Confirm Button by LIN QI E; and Framed by ColaJuice (Stephen Yang). Audiences can explore featured creators and projects through the AZ8 Community.

These works represent different directions in AI-assisted filmmaking, from science fiction and suspense to character-driven stories, experimental visual worlds, and cinematic short-form concepts. AZ8 Theater is designed to give such projects a dedicated space where audiences can discover not only finished works, but also the creative process behind them.

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AZ8 believes AI video creation is moving from experimentation into production. As tools become more accessible, the next challenge is no longer simply generating a single clip, but building consistent characters, repeatable visual styles, coherent worlds, and stories that can grow over time. AZ8 Studio and AZ8 Theater are designed to support that shift together: one as the creation workspace, the other as the content destination.

“AI gives more people the ability to create, but great storytelling still depends on vision, taste, and originality,” added Kevin. “The creators featured through AZ8 Theater show what happens when new technology meets strong creative direction. Our goal is to support that combination—from the first idea on the canvas to the final story on screen.”

AZ8 plans to continue expanding AZ8 Theater with original shorts, pilots, creator features, worldbuilding projects, and making-of content. The company aims to support creators who are developing new cinematic languages with AI, while also helping audiences better understand how future stories are being made.

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MessageGears Expands Its Integration Ecosystem With Five New Data Sources and Destinations

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MessageGears Expands Its Integration Ecosystem With Five New Data Sources and Destinations

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Direct connections to TikTok, Google Drive, SingleStore, Azure, and Bynder extend the marketing platform’s data-native, composable architecture – giving teams instant activation across more of the tools they already use.

MessageGears, the cross-channel marketing platform that connects directly to your data sources, announced five new integrations: Microsoft Azure, Bynder, and SingleStore as three new data sources, and TikTok and Google Drive as two new external destinations. The additions further extend MessageGears’ flexible architecture, which allows enterprise teams to activate data across any channel or tool without duplicating, moving, or re-housing it.

“Organizations shouldn’t have to choose between using the tools they love and having a unified data strategy, and our growing library of integrations is prioritized with this in mind.” –Caroline Nash, Director of Partnerships at MessageGears

The announcement reflects growing demand from marketing and data leaders for martech that seamlessly connects to their other tools, rather than forcing them to consolidate around a single vendor’s ecosystem or rigid schema.

Built for the growing demand of more flexible martech

Modular, connected architecture has become a defining competitive advantage for marketing platforms. According to the MACH Alliance, organizations with fully composable tech stacks are six times more likely to achieve clear ROI on their AI investments, and 98% are able to support AI at scale.

“MessageGears was purpose-built with a flexible, API-first foundation long before AI entered the equation,” said Caroline Nash, Director of Partnerships at MessageGears. “But the core principles of composability we’ve always believed in are now more important than ever with agentic capabilities on the rise. Organizations shouldn’t have to choose between using the tools they love and having a unified data strategy, and our growing library of integrations is prioritized with this in mind.”

Rather than pulling data into a proprietary walled garden, MessageGears works directly from a brand’s existing data sources, including native connections to popular warehouses like Snowflake, Databricks, Google BigQuery, and Amazon Redshift. The cross-channel platform connects to live customer data in-place, and campaign engagement activity is automatically written back to their central data store. This allows every marketing program to be informed by full context, not just a slice of it. And every new native integration extends that same flexible foundation.

New data sources: Connect more of your data without moving it

Microsoft Azure: MessageGears now natively supports Microsoft Azure as a data source, allowing enterprise teams running workloads on Azure to connect customer data directly to their marketing platform. With the native connection, teams can easily use their entire Azure dataset in personalized campaigns without extraction, transformation, or duplication. This expands MessageGears’ existing multi-cloud support and gives Azure-first organizations a straightforward path to activation.

SingleStore: Similarly, MessageGears’ native connection to SingleStore enables teams to query and activate all of their operational data stored in SingleStore’s high-performance database directly within their cross-channel marketing programs.

Bynder: The addition of Bynder allows marketing teams to pull creative assets directly from their digital asset management (DAM) system into MessageGears campaigns. Rather than manually downloading and re-uploading assets, teams can reference and deploy approved creative from Bynder in real time — keeping brand consistency high and production timelines short.

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

“These integrations are part of our continued focus on reducing the operational burden on marketers,” said Eugene Yukin, VP of Product at MessageGears. “Audience syndication should be seamless, whether teams are activating data in external platforms or internal systems. MessageGears helps customers move faster without adding complexity or manual effort.”

New destinations: Activate audiences anywhere customers engage

TikTok: While MessageGears already supported audience activation to TikTok via its LiveRamp integration, the platform now has a native connection directly to TikTok as well. Marketers can build highly targeted segments using unlimited attributes from their warehouse, then push them to TikTok Custom Audiences where campaign members can be activated within 30-60 minutes of delivery. As TikTok continues to grow as an advertising channel, this integration closes a critical gap for brands running cross-channel acquisition and retargeting programs.

Google Drive: Teams can now securely upload campaign audience files from MessageGears directly to designated Google Drive folders. The integration supports the same configurability as other file-based destinations — format, compression, and naming conventions — and authenticates through a Google service account. It’s particularly useful for organizations that need to deliver, share, or store campaign data internally without adding new infrastructure.

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

Part of a broader ecosystem of integrations

These five additions join an expanding library of natively supported data sources and destinations within the MessageGears platform, spanning paid media networks, cloud storage providers, analytics tools, competing ESPs, and enterprise data infrastructure. The platform’s architecture means that every connection works against live data at the source, not a cached or copied subset of it.

MessageGears proudly applies open, composable principles across every layer of its product. All five of these integrations are available now to MessageGears customers.

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The loyalty Gap – Discount and Value are not the same in the customers’ eyes.

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Kathryn Wright
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The loyalty Gap - Discount and Value are not the same in the customers’ eyes.

Consumer spending is under pressure. US tariff uncertainty, stubbornly high food and energy costs, and a geopolitical backdrop that shows no sign of slowing, are all contributing to this crisis. But fixating on what shoppers are spending misses the more urgent question: what does it now take to make them stay? That’s where loyalty comes in, and where, frankly, a lot of brands are leaving more on the table than they realise.

The numbers are encouraging on the surface. ROI for loyalty programmes has increased for the third consecutive year, with 92.7% of programme owners reporting a positive return and an average of 5.3x, which is, by any measure, a strong result. Marketers clearly believe in it too, with more than half of total marketing budgets now going into loyalty and CRM, and 59.8% say they’d shift even more spend away from short-term promotions if they could.

Antavo’s Global Customer Loyalty Report 2026, which surveyed 3,000 marketers and 10,000 consumers globally, found that only 56% of customers say loyalty programmes actually make them feel valued. And with 27% of points going unspent, that’s not just a satisfaction problem. When consumers are making more deliberate decisions about where their money goes, a programme that doesn’t land emotionally is one they’ll quietly walk away from.

This growing loyalty gap reflects a misconception of what true ‘loyalty’ looks like in 2026. While brands are leveraging perceived value with glossy campaigns and messaging, customers are basing their judgments on what is actually being offered. Against a backdrop of economic fragility, the goal for marketers is no longer to attract fleeting ‘sale-weather’ customers but to establish brand advocates by demonstrating why they are worth their investment.

Many loyalty programmes are still employing outdated points-and-spend systems, which offer delayed rewards and boast static, one-dimensional campaigns that fail to keep pace with the expectations of modern consumers. With nearly half of customers agreeing that it takes too long to earn rewards and over 40% expressing frustration over expiring points, it’s clear that these transactional models are eroding the perceived value exchange that is essential for validity and survival in today’s economy.

To bridge this gap, brands must reframe how value is defined and delivered; delayed gratification offers no incentive and, more importantly, no utility. Although sales and promotions temporarily drive traffic, with almost 70% of consumers saying that promotions influence their purchasing decisions, it’s a dangerous habit for brands to train into customers without it being part of a wider strategy to build customer lifetime value. With customers placing greater emphasis on tangible outcomes rather than hollow offerings, dynamic approaches that provide immediate, measurable, and relevant value have become the preferred avenues.

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

Let’s consider SKIMS, a brand founded by one of the biggest cultural influencers, which is renowned for its innovative loyalty programme. Operating exclusively from the SKIMS app, the programme positions loyalty as a gateway to the brand’s most valuable commodity: early access to limited drops. However, what sets SKIMS Rewards apart from other loyalty programmes is its simplicity and accessibility.

SKIMS’ two-tiered reward model is customer-centric and designed around the mechanics of the brand. MARBLE, the default tier for every user, requires no minimum spend to qualify – just a quick download of the SKIMS app and an email signup. This approach welcomes new SKIMS members into the community before they even make their first purchase, unlocking app-exclusive promotions, priority restock notifications, and early access to new drops/sales. By lowering the barrier for entry upon sign-up, SKIMS fosters immediate investment into the brand ecosystem by granting standard members access to perks that are typically reserved for higher tiers.

SKIMS’ ONYX tier takes this further. To reach this tier, customers must reach one of three thresholds: they can either make four separate purchases, reach a dedicated spending threshold, or complete 10 engagement actions. The third pathway is what distinguishes SKIMS from other fashion brands. The brand’s ONYX tier is not elusive nor unattainable; in fact, this level is democratised, meaning that everyone (including customers who can’t afford to spend more) can equally benefit from the membership. This engagement prompt also serves as an incubator for user-generated content, social media momentum, and product reviews, positively raising the brand’s profile and organically growing its customer base.

The retail landscape remains ever-evolving and uncertain, but one sentiment has become clear in today’s cautious economy. Loyalty is no longer an optional add-on or unique selling point. It has become the foundation of sustainable growth in a market where acquiring new customers can be unpredictable and retaining them is even more challenging. However, success in this new era will depend on how well brands can close the gap between what they offer and what customers actually experience.

Brands that understand this, those that deliver consistent, meaningful value at every interaction, will not just retain customers. They will earn their trust in a way that withstands even the most cautious of spending climates.

About Antavo

Antavo, is a leading loyalty technology platform working with household retail brands including KFC, Yeo Valley, Benefit Cosmetics, and Hyatt Hotels.

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

PropellerAds Launches NIKO – AI-Powered Agent That Takes Advertisers from Registration to Live Campaign in a Single Conversation

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PRNewswire
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PropellerAds Launches NIKO - AI-Powered Agent That Takes Advertisers from Registration to Live Campaign in a Single Conversation

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PropellerAds, a global leading advertising platform, introduced Agent NIKO, an AI-powered conversational assistant designed to eliminate onboarding barriers for new advertisers. NIKO empowers advertisers to create and launch campaigns in natural language, making programmatic advertising accessible and straightforward.

The ad tech industry is moving toward true multi-source campaign management – and PropellerAds is setting the pace. AI is already embedded across the platform: powering optimization under the hood and generating creatives through autocreatives. Agent NIKO is its next milestone.

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NIKO is the first AI agent that takes an advertiser from registration to a live campaign in a single conversation — no integrations, no configuration, no tokens to manage. Everything runs inside the platform, fully handled. Advertisers simply describe what they need and their campaigns go live. NIKO enables complete setup through a single chat: users define GEOs, select revenue types, and receive built-in bid recommendations that protect against overspending in unfamiliar markets. It supports all currencies with real-time conversion, detects language, and offers intelligent defaults while maintaining control over key parameters. At launch, NIKO supports Onclick campaigns — PropellerAds’ widest-reach ad format — with additional formats to follow.

“We built NIKO AI because the biggest barrier to performance advertising isn’t budget or strategy — it’s friction,” said Juliia Larionova, PropellerAds Head of Marketing. “From registration to a running campaign in one conversation, in your language, in your currency – that’s the standard we set for ourselves, and we’ve delivered it.”

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NIKO AI serves PropellerAds’ entire advertiser base. Independent affiliates and media buying teams can compress campaign testing cycles, replacing multiple form submissions with a single dialogue. Agencies can delegate campaign launches to junior members, freeing senior buyers for strategic work. Direct advertisers without in-house programmatic expertise get a guided path to their first campaign — no prior platform experience required.

NIKO AI also opens PropellerAds to audiences that previously found programmatic advertising out of reach. Advertisers already running Facebook, Google, or TikTok campaigns but never found the time to navigate a new platform’s dashboard can now onboard with ease. Mobile app owners can test new acquisition channels with recommended bids, even without a dedicated marketing team. Multilingual support removes barriers across Asia and LATAM by automatically adapting to the user’s language.

Ongoing development will focus on expanding formats and features, guided by post-launch user feedback.

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BrandAxis Launches as Challenger AI Search Analytics Platform for Brands Competing in the Answer Engine Era

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MTS Staff Writer
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Equiniti Launches Real Time Analytics, First UK Registrar to Offer Immediate Share Ownership Visibility

BrandAxis

AI Search SaaS platform gives marketers an affordable way to track brand visibility, competitor rankings, sentiment and sources across ChatGPT & other LLMs.

BrandAxis an AI search analytics platform for marketers, agencies and growing businesses, announced the launch of its public platform, positioning itself as a challenger to the expensive, enterprise-first tools emerging in the AI visibility category.

Buyers are moving away from Googling and instead are asking AI like ChatGPT. Your brand / product / service / idea being recommended has massive commercial value to influence buyers decisions.”

— Felix Norton

As customers increasingly turn to AI answer engines like ChatGPT, Google AI Mode or Claude to research companies, compare products and make buying decisions, brands face a new problem: they may be recommended, misrepresented or ignored entirely without knowing it.

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

For large enterprises, the emerging AI visibility category is already attracting sophisticated tools and premium pricing. But for agencies, startups, challenger brands and mid-market companies, the barrier to understanding AI visibility remains relatively high.

BrandAxis was built to change that.

The platform gives brands a practical, affordable way to monitor how they appear in AI-generated answers, how they rank against competitors, whether mentions are positive or negative, and which sources are shaping what AI systems say.
“AI search should not only be measurable for companies with enterprise budgets,” said Felix Norton, Co-founder of BrandAxis. “Every brand deserves to know how AI describes them, whether they are being recommended, and why competitors may be showing up instead. BrandAxis was built to make that level of visibility accessible.”

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

Unlike traditional SEO tools built around search rankings, BrandAxis is designed for the new answer engine and AI search area, where visibility depends not only on keywords, but on how LLMs like ChatGPT and Claude understand a brand’s positioning and credibility across not only their own website, but also other mediums like news articles, blogs, user generated content on Reddit and LinkedIn and even multi modal content like video on Youtube.

This is where BrandAxis provides insight for companies to understand how their brand / product / service is being represented.
Key BrandAxis features include:
— AI visibility tracking: Monitor how often a brand is mentioned across different AI model conversations like ChatGPT, AI Overviews, Perplexity, Claude and more..
— Competitor benchmarking: Compare brand visibility, rank and sentiment against competitors.
— Sentiment analysis: Understand whether AI answers describe a brand positively, neutrally or negatively.
— Source extraction: Identify the pages and citations influencing AI-generated answers.
— Prompt-level reporting: Track the questions customers are likely to ask and how brands show up in those answers.
— Country/City-level tracking: Understand how AI visibility changes by location.
— Misinformation Detection: Identify factual inaccuracies to mitigate AI hallucinations
— Actionable recommendations: Turn AI search data into a practical improvement roadmap to be implemented by your marketing team or agency.

The challenger positioning is central to BrandAxis’ launch. While much of the AI search analytics market is moving toward enterprise dashboards and high-cost contracts, BrandAxis is focused on speed, clarity and accessibility. The platform is designed for teams that need to understand AI search now, without waiting for a complex implementation or committing to enterprise software pricing. Within minutes of signing up, a company can begin to measure valuable insights.

The company was co-founded by Felix Norton, a digital agency founder with more than a decade of SEO, brand and performance marketing experience, and Freddie O’Donnell, a software engineer and successful fintech founder who led the development and solved the technical challenge of making AI visibility affordable.
The idea came from a simple client question: “Where did you hear about us?” When the answer was “ChatGPT recommended you,” Norton saw the beginning of a new acquisition channel — and a measurement gap most marketers didn’t have the tool for.
“Marketers already know how important visibility is on Google. Higher visibly and rankings directly correlate to sales and revenue,” Norton added. “But AI search changes the game. It does not just rank brands. It interprets them, compares them and recommends them, with studies showing conversion rates being x4 higher than traditional search mediums. BrandAxis helps teams understand that new layer of influence, and empowers marketing teams to leverage AI visibility and recommendations as an effective marketing channel.

BrandAxis is available now at BrandAxis.ai, with a free tier and paid plans designed to make AI visibility tracking accessible to brands and agencies of all sizes.
About BrandAxis.ai
BrandAxis.ai is an AI search analytics platform that helps brands measure, monitor and improve how they appear in AI-generated answers. The platform tracks AI visibility, rankings, sentiment, competitor mentions and source influence across major AI answer engines, helping marketers understand how AI systems describe their brand and what to do about it.
Built in Cape Town and operated by BrandAxis, the company is focused on making AI visibility tracking accessible to businesses, agencies and marketing teams competing in the new era of AI search.

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

Shopsense AI Launches Shoppable Intelligence Model, Setting a New Standard for Commerce AI

By
MTS Staff Writer
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0
Ogury Launches SONA, an Agentic Solution to Improve Consistency Between Audience Planning and Campaign Execution

New model outperforms OpenAI’s CLIP and Google’s SigLIP2, delivering measurably better shopping experiences and stronger revenue outcomes for publishers

Shopsense AI announced today the Shoppable Intelligence Model (SIM), its next-generation proprietary multimodal AI powering real-time contextual commerce. Tested against the leading publicly available models, including OpenAI’s CLIP and Google’s SigLIP2, SIM delivers 25 to 50 percent higher retrieval accuracy across the benchmarks that matter most for product discovery. For publishers and their viewers, this model improvement delivers more relevant recommendations, higher audience engagement, and stronger commerce revenue, with no changes to existing integrations.

SIM raises the standard by tying intelligence directly to commerce outcomes, such as intent and conversion.”

— People Inc. Chief eCommerce Officer Tory Brangham

SIM is a proprietary in-house model built for commerce where every training decision, every dataset, and every benchmark is grounded in shopping outcomes: real products and real purchase behavior from where shopping decisions are formed – content. That specificity is what enables the model to differentiate itself from the more general-purpose industry benchmark models. On Fashion200K and FashionGen, two public fashion datasets used by the research community to track progress in retrieval AI, SIM outperforms every open-source baseline across every retrieval modality: image-to-image, image-to-text, text-to-image, and text-to-text. These are reproducible results against public benchmarks: Against OpenAI’s CLIP, SIM achieves up to 77 percent higher image-to-image retrieval accuracy and up to 74 percent higher text-to-text accuracy on fashion datasets. Against Google’s SigLIP2, SIM leads across retrieval tasks by 34 to 60 percent.

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

“The industry has been measuring progress in AI by how well models recognize content,” said People Inc. Chief eCommerce Officer Tory Brangham. “The real benchmark is whether they can monetize it. SIM raises that standard by tying intelligence directly to commerce outcomes, such as intent and conversion.”

What Better Retrieval Means in Practice
Product recommendations live or die on subtle visual cues (the cut of a sleeve, the texture of a fabric, the curve of a heel) and on the precise vocabulary used to describe them. A retrieval accuracy improvement of ten percentage points on a benchmark translates directly into recommendation quality improvements that drive shopper behavior changes. For every 100 customer searches, 10 additional shoppers see exactly what they were looking for as the first result. At the scale of a live publisher or retailer network, that compounds across click-through, conversion, and time-to-purchase. In Shopsense engagement data, this translates directly to a 10 percent improvement in model precision, which produces a 24.5 percent improvement in shopper click-through rate for native retailer media activations. For customers using SIM, that lift arrives automatically across every storefront and in-content commerce unit to deliver real revenue lift, with no additional effort.

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

SIM has been optimized across:
* Fashion and apparel: Wardrobe identification, style matching, and outfit-level product curation from editorial, broadcast, and social content
* Accessories: Bag, jewelry, eyewear, and footwear identification from images and video
* Furniture: Room-level product identification and style curation from editorial, images, and video
* Core Commerce: Cross-category product matching from editorial, product pages, and lifestyle content

“The gap between a general-purpose model and one that truly understands commerce is not incremental. It is the difference between surfacing a product a viewer might glance at and surfacing the product that inspires action,” said Bryan Quinn, President and Co-founder at Shopsense AI. “Trained relentlessly for commerce. Built to understand intent. That’s SIM.”

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

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