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Ecer.com Powers a New Era of Mobile-Driven Global B2B Trade

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MTS Staff Writer
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Polymemo Launches iOS and Android Apps for Its Multilingual Content Platform

Ecer.com: search for China Manufacturers, wholesalers, Suppliers, Exporters & Factories from the leading B2B marketplace

In the traditional world of cross-border trade, doing business once felt like a marathon across “ten thousand mountains and rivers.” Language barriers, time zone fatigue, and geographical distance acted as physical checkpoints, turning simple handshakes into weeks of grueling email chains.
Today, that “wall” is being demolished by a digital revolution. New data reveals that over 75% of cross-border B2B orders are now completed on mobile devices. Leading this charge from the desktop to the palm of the hand is Ecer.com, a premier mobile B2B marketplace that is making global commerce lighter, faster, and more transparent.

Breaking the “Time Zone Wall”
Time differences used to be the most frustrating hurdle in trade; while one party started their workday, the other was heading to bed. On the ECER mobile platform, this “waiting game” is becoming a relic of the past.
By integrating real-time communication and AI translation, buyers and sellers can now converse as easily as using a personal chat app. There is no longer a need to wait days for an email reply or fear a language gap. Furthermore, ECER’s “Cloud Factory Inspection” allows auditors to remotely view production lines and verify certifications without ever boarding a plane.

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One ECER member enterprise mamed Guangdong Haida Equipment Co., Ltd. reported that finalizing order details with Western clients used to take several days. Now, using mobile instant translation and panoramic factory views, the entire process—from product confirmation to factory audit—can be finished in just 2 hours. This shift has boosted order processing efficiency by a staggering 300%.

Seeing is Believing: Trust in a Virtual World
Trust in B2B transactions usually requires “seeing for oneself,” but the high cost of international travel often deters small and medium-sized enterprises. ECER is solving this through panoramic factory audits and VR product inspections.
With a simple tap on a screen, a buyer can “walk” through a workshop, inspect manufacturing processes, and examine product details. An inspection that once cost thousands of dollars and weeks of travel can now be achieved in hours. This radical transparency transforms the mobile device from a mere communication tool into a bridge of trust.

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Smart Matching: Never Miss an Opportunity
In a sea of global data, finding the right partner is a constant challenge. ECER utilizes AI customer service and intelligent matching systems to ensure multi-language responsiveness and precise supply-demand alignment.
The system doesn’t just reply to inquiries; it analyzes product characteristics and purchasing habits to recommend high-value leads. Statistics show that businesses using these smart tools have seen:
 3x faster customer response times.
 40% increase in lead conversion rates.

The Future of Trade is in Your Pocket
From sourcing and communication to inspection and closing the deal, Ecer.com has condensed the entire foreign trade lifecycle into a mobile terminal. Traders no longer need to jump between platforms or stay tethered to an office desk for nine hours a day. Whether on a business trip or at home late at night, the office is wherever the phone is.
As the industry’s center of gravity shifts from the desktop to the smartphone, ECER is not just changing how people click—it is changing how the world thinks about trade.

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Dynamiks.ai Introduces the Quarterback: The First Fully Autonomous AI Agent Enabling the Agentic Pipeline

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

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The AI coworker who knows your pipeline inside out, augments your HubSpot CRM, always has the answers and acts.

Decades of research in human performance point to the same three requirements for success: Feedback, Foresight, and Agency. Sales teams have never had any of them in real-time, not from their CRM, not from Analytics. The Quarterback changes that. By modeling the sales process, it introduces two new measurements: Impact, the real-time dollar amount of every action, and Momentum, the velocity of every deal. This is the agentic pipeline. Dynamiks.ai opens early access to the Quarterback, delivering unprecedented clarity to the sales process.

“Every sales professional now has a coworker who knows their pipeline inside out, learns from the result of every action, and over time discovers the actions that win deals. Where do I stand? Where is this deal going? What needs my attention right now? The Quarterback knows, and the more it sees, the better it gets. Humans build relationships. The Quarterback handles everything else,” said Nicolas Maquaire, Co-Founder and CEO of Dynamiks.ai.

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Early access trials are now open for sales teams using HubSpot. The Quarterback augments the CRM with measurements that have never existed before. It connects in minutes, learns from existing CRM data, and is ready to act in days. For teams that want to evaluate without sharing their data, Incognito mode provides full functionality with complete privacy. No risk, full clarity from day one.

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Dynamiks.ai is an AI sales intelligence company building the first agentic pipeline. The Quarterback gives sales professionals the clarity they need to focus on what they do best: building trust and relationships. It was founded by Nicolas Maquaire, whose previous startup was acquired by Salesforce, and Cédric Moitrier, both veterans of the CRM industry.

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FileCloud Achieves FedRAMP High Authorization, Enabling Secure Content Collaboration for Federal Agencies Handling Sensitive Data

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FileCloud Achieves FedRAMP High Authorization, Enabling Secure Content Collaboration for Federal Agencies Handling Sensitive Data

FileCloud, a leading provider of secure content collaboration and data governance solutions, announced it has achieved Federal Risk and Authorization Management Program (FedRAMP) High authorization, enabling U.S. federal agencies to securely manage and share highly sensitive information in compliance with the government’s most rigorous cloud security standards.

This milestone reflects FileCloud’s long-standing commitment to serving the federal sector and supporting agencies with mission-critical security, compliance, and data protection requirements. FileCloud is trusted today by hundreds of government customers across civilian, defense, and public-sector organizations, where safeguarding sensitive information and meeting strict regulatory mandates are essential. Federal agencies have consistently selected FileCloud for its hyper-secure architecture, granular governance controls, and flexible deployment options designed specifically for regulated federal environments.

FedRAMP High represents the highest security standard within the FedRAMP framework, requiring adherence to more than 420 stringent security controls. With this authorization, FileCloud is approved to support workloads involving Controlled Unclassified Information (CUI) and other high-impact federal data, allowing agencies to deploy the platform with confidence.

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FileCloud joins a select group of Enterprise File Sync and Share (EFSS) platforms to achieve FedRAMP High authorization. While some collaboration platforms offer federal solutions at the Moderate level, the High authorization distinguishes FileCloud as one of the few EFSS providers capable of supporting the most sensitive federal workloads requiring CUI protection and high-impact security controls.

Comprehensive security and compliance capabilities built into the FileCloud platform serve as critical components to meeting FedRAMP High requirements. These capabilities include advanced encryption for data at rest and in transit, fine-grained access controls, advanced audit logging, and policy-driven data governance. With FileCloud, federal agencies can securely collaborate, both internally and externally, while maintaining visibility, control, and compliance throughout the content lifecycle.

“Achieving FedRAMP High authorization represents a key milestone for FileCloud and demonstrates our commitment to serving customers in the Federal market space,” said Jason Dover, Chief Product & Technology Officer at FileCloud. “This certification validates our security and compliance focus and enables customers with CMMC requirements to leverage FileCloud for managing sensitive data and CUI.”

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Through a collaboration with FedHIVE, a FedRAMP-authorized high-impact cloud environment, FileCloud is now available to customers with CMMC requirements and a need for FedRAMP-authorized vendor solutions. FileCloud’s FedRAMP product version aligns seamlessly with rigorous federal security and authorization requirements while offering agencies a powerful, mission-ready platform for secure file sharing and collaboration.

“FileCloud’s achievement of FedRAMP High authorization underscores the importance of trusted partnerships in securing the federal mission. FedHIVE is honored to provide the high-impact security cloud environment that enables FileCloud to expand its secure capabilities for government customers,” said Michael Cardaci, CEO of FedHIVE. “By combining FileCloud’s powerful collaboration platform with FedHIVE’s proven operational compliance, agencies can collaborate securely, operate efficiently, and advance critical work while accelerating meaningful modernization.”

For federal customers, this authorization eliminates a critical barrier to modernizing content collaboration workflows. With FedRAMP High authorization, FileCloud can support a wide range of federal use cases, including secure document sharing and collaboration, records retention, regulatory compliance, chain-of-custody tracking, and controlled external collaboration with contractors and partners.

Agencies can deploy FileCloud in government cloud, on-premises, or hybrid environments to meet specific operational and security requirements. Defense contractors and partners pursuing CMMC certification gain a clear path to compliant collaboration, streamlining supply chain security without compromising on capabilities or requiring complex custom integrations.

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StatSocial Expands Platform With Substack, Unlocking Audience Insights Across the Newsletter Economy

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PRNewswire
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StatSocial Expands Platform With Substack, Unlocking Audience Insights Across the Newsletter Economy

StatSocial announced the integration of Substack into its platform, giving marketers the same depth of audience intelligence across the newsletter economy that they rely on across every other channel. Marketers can now connect subscriber-base audiences to the cross-platform social signals that power smarter influencer decisions and more precise media targeting.

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Substack’s subscriber base skews toward educated, high-intent audiences with deep topical interests spanning finance, technology, culture, and politics. These are consumers who don’t just scroll, but subscribe, read, and act. StatSocial clients can now:

  • Discover and validate Substack creators whose subscriber bases align with brand and campaign goals.
  • Enrich audience profiles by incorporating Substack signals into StatSocial’s Identity Graph alongside Instagram, TikTok, YouTube, X, and other platforms.
  • Activate newsletter audiences across the broader digital ecosystem, connecting Substack readership to paid media and influencer programs.

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“Substack has created a new class of creators, one with a direct, trusted relationship with their audience that most social platforms can’t replicate,” said David Barker, CEO of StatSocial. “Bringing Substack into our platform means our clients can see and act on those relationships, with the same depth of intelligence they rely on across every other channel.”

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FileSpin Launches MCP-Native DAM Infrastructure for Autonomous Media Workflows

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FileSpin Launches MCP-Native DAM Infrastructure for Autonomous Media Workflows

Open architecture enables AI agents to manage, transform, and deliver digital assets — without custom development.

FileSpin, the AI-native digital asset management (DAM) company, announced its MCP-native agentic DAM infrastructure, built around the Model Context Protocol from the ground up, enabling AI agents to execute media operations through natural language.

Most platforms added MCP as a connector layer on top of existing APIs. FileSpin took the opposite approach: the entire media stack — On-Demand Imaging, AI auto-tagging, face recognition, dynamic watermarking, video transcoding, and branded share pages — was rebuilt around the protocol as foundational architecture. AI agents from Claude, ChatGPT, Mistral, and other MCP-compatible applications can now execute in minutes what previously took hours — campaign preparation, bulk metadata tagging, approval workflows, and distribution — all from a single conversation.

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“We didn’t bolt an MCP connector onto a legacy API and call it agentic.” said Selva Ganesan, Founder and CEO of FileSpin. “We rebuilt the media stack around the protocol so agents can do real work — tag assets, generate variants for every channel, set up approvals, and distribute. Most implementations fall over. Ours doesn’t.”

Governance is a practical concern slowing AI adoption: 74% of enterprises plan to deploy AI agents by 2027, but only 21% have safety oversight mechanisms in place. FileSpin provides audit trails, role-based access controls, and metadata schema-based guardrails that keep agents within defined boundaries, allowing teams to trust autonomous workflows.

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FileSpin integrates with workflow automation tools, including Make, Zapier, and n8n, connecting media infrastructure to thousands of business applications without custom development. The platform also offers Teleport, a hybrid cloud-edge deployment that runs core media operations locally (even on a Raspberry Pi) with cloud synchronisation — ensuring continuity for event venues, theme parks, and remote locations where internet isn’t guaranteed.

FileSpin serves enterprises in eCommerce, events, attractions, real estate, and travel, with customers including Informa Festivals (Cannes Lions, Black Hat, Money20/20), DEI Global (163+ attractions across 20+ countries), and XXL (Nordic sports retail). The MCP-native infrastructure is available immediately.

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Hexaware Launches Agentverse™, an Enterprise AI Agent Platform with 600+ Ready-to-Deploy Agents

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Hexaware Launches Agentverse™, an Enterprise AI Agent Platform with 600+ Ready-to-Deploy Agents

Agentverse™ enables enterprises to operationalize agentic AI with 600+ agents across technology and business operations.

Hexaware Technologies, a global provider of IT solutions and services, announced the launch of Agentverse™, an enterprise AI agent platform featuring 600+ ready-to-deploy AI agents designed to help organizations operationalize agentic AI across business and technology functions.

As enterprises increasingly explore generative and agentic AI, many remain stuck in pilot stages without a clear path to scaled deployment. Agentverse™ addresses this challenge by providing a governed platform that orchestrates multiple AI agents across enterprise systems, workflows, and communication channels, enabling organizations to move from experimentation to production.

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The platform integrates with core enterprise systems including CRM platforms, IT service management tools, knowledge repositories, data platforms, telephony systems, and collaboration applications. Through advanced orchestration, AI agents retrieve contextual knowledge, interpret process documentation, automate conversations, and execute operational actions directly within enterprise workflows. Built-in governance capabilities including role-based access controls, audit trails, observability, and policy guardrails ensure agents operate securely and in alignment with enterprise compliance requirements.

Organizations deploying Agentverse™ can target significant operational improvements, including 40–60% productivity gains in knowledge and service workflows, 60–80% faster response times across digital channels, 20–35% improvements in customer or user satisfaction, and 20–50% cost reductions through automation and right-sourcing.

Agentverse™ supports use cases across customer experience, financial services, manufacturing, retail, and enterprise operations. Agents resolve customer inquiries, automate reconciliations and regulatory workflows, support demand forecasting and inventory management, and streamline IT, HR, and procurement service operations.

Agentverse™ is part of Hexaware’s broader enterprise AI strategy focused on embedding AI across both technology operations and business processes. Through its AI for IT approach, Hexaware integrates AI across the technology lifecycle—including software development, digital assurance, data platforms, SaaS ecosystems, IT operations, and application management services (AMS). In AMS, AI-powered discovery tools map application estates, dependencies, infrastructure, and usage patterns to accelerate service transitions, while predictive incident management, intelligent automation, and enhanced observability improve operational performance.

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Complementing this is Hexaware’s AI for Business strategy, where agentic AI models transform front-office, middle-office, and back-office workflows. This is supported by a foundational layer for AI that provides orchestration, reusable components, AI frameworks, APIs and MCP integrations, governance controls, and observability—enabling enterprises to deploy AI securely and scale adoption across systems and workflows.

“Agentverse™ is how we take autonomy into day-to-day operations. Clients can move beyond pilots to measurable results in cycle time, accuracy, and customer satisfaction,” said R Srikrishna, CEO & Executive Director, Hexaware.

“Hexaware’s Agentverse™ is built for outcomes and scale. We standardize how agents connect to enterprise platforms, enforce policy, and prove value with clear KPIs, so customers can expand from one use case to many,” said Siddharth Dhar, President & Global Head – Artificial Intelligence, Hexaware.

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kore.ai Launches Agent Management Platform to Bring Governance and Control to Enterprise AI

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kore.ai Launches Agent Management Platform to Bring Governance and Control to Enterprise AI

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Kore.ai, a provider of agentic applications and a market-leading enterprise AI platform, announced the launch of its Agent Management Platform (AMP), a unified command center designed to govern, monitor, and manage AI agents and AI systems across the enterprise.

As organizations rapidly deploy AI and multi-agent systems, many are encountering “AI sprawl,” a phenomena analysts describe as dozens of AI initiatives across different teams, tools, and clouds without centralized visibility or governance. Gartner predicts that by 2028, enterprises will operate thousands of AI agents across various business functions, making centralized management, policy enforcement, and value measurement critical for the responsible adoption of AI.

The Kore.ai Agent Management Platform provides enterprises with a single operational layer to manage AI systems across frameworks, clouds, and development environments, including LangGraph, CrewAI, AutoGen, Google ADK, AWS AgentCore, Microsoft Foundry, Salesforce Agentforce, and proprietary systems. It consolidates AI observability, governance enforcement, performance monitoring, and value measurement, enabling organizations to move from fragmented AI experimentation to controlled, enterprise-scale deployment.

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Two core capabilities distinguish Agent Management Platform from other emerging solutions. First, the platform provides a comprehensive evaluation studio that allows enterprises to test agent behavior, workflows, and outcomes before production deployment, helping teams reduce uncertainty and accelerate time to reliable deployment. Second, AMP is designed to operate across heterogeneous AI environments. While similar governance offerings from established players are typically limited to their own ecosystems and many startup solutions have limited connectivity with enterprise applications, Kore.ai’s agnostic architecture and deep integration capabilities enable enterprises to connect and govern AI systems built across multiple frameworks, tools, and platforms.

“AI agents are rapidly becoming the new software workforce inside enterprises,” said Prasanna Arikala, CTO and Head of Products at Kore.ai. “But without centralized governance, enterprises risk losing visibility and control over how AI operates across the organization. The Agent Management Platform introduces a new operational layer for enterprise AI, giving leaders the ability to manage AI agents with the same discipline, transparency, and accountability as any other critical business system.”

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The new AMP platform integrates with AI agents built across leading frameworks and ecosystems, enabling organizations to manage heterogeneous AI environments through a unified control plane. Enterprises can now track AI performance and costs, enforce governance policies consistently, detect anomalies or drift, and align AI initiatives with measurable business outcomes.

“AI is quickly becoming core infrastructure for how enterprises operate,” said Raj Koneru, CEO and Founder of Kore.ai. “But scaling AI responsibly requires more than powerful models; it requires governance, visibility, and accountability. With the Agent Management Platform, we are helping enterprises turn AI from isolated experiments into a trusted, enterprise capability that delivers real business value.”

Designed to work across multi-agent environments and heterogeneous AI ecosystems, the Kore.ai Agent Management Platform provides organizations with a centralized foundation to govern AI adoption as it scales across the enterprise.

The New Search Stack: How Marketers Win Across AI, Social and Traditional Search

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Jonathan Futa
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The New Search Stack: How Marketers Win Across AI, Social and Traditional Search

Search is undergoing its most consequential shift in decades. What began as a shift away from Google as a search monolith toward social search on platforms such as Instagram and TikTok has now evolved into a broader exodus toward so-called “AI search.” Adobe reports that 52% of consumers believe AI will replace traditional search engines for product discovery within five years, and a McKinsey study shows a majority of consumers already use AI search tools as their primary decision-making resource for purchases. The pace at which traditional search is being marginalized remains uncertain, but the implication for marketers is clear: the way buyers discover, evaluate and choose brands is being fundamentally rewritten.

Search is no longer confined to a single domain. It now spans AI LLMs, social platforms and traditional search. Search was once a single tactic within a broader digital marketing landscape. Today, it is a landscape unto itself that requires a bespoke strategy and a blend of tactics.

The New Search Stack: AI, Social and Traditional Working Together

A few years ago, the prevailing narrative was that social search would overtake Google as the primary discovery channel. Just months before the release of ChatGPT in 2022, Google itself released internal research showing roughly 40% of younger people used TikTok or Instagram rather than Google or Google Maps. That shift changed course when ChatGPT entered the mainstream. Traditional search continued to lose its privileged place, but the flight was to a more diverse set of tools rather than relocating to a different silo.

Today’s buyer journey is dispersed across a variety of tech giants, none of whom interoperate or share data. It looks something like this: a buyer discovers a product on social, seeing a creator use an unfamiliar product, such as whole body deodorant. Curious, they then ask an LLM about whole body deodorant and its benefits, receiving a short list of recommended “best picks.”  From there, they revisit social to see the products in action and read real-world reviews. Traditional search likely re-appears here, with the buyer Googling the products to read reviews from online publishers or forums. Finally, the buyer navigates directly to a retailer website to purchase.

Each channel serves a different function, with AI accelerating discovery, traditional search confirming legitimacy and social content building trust.

For marketers, the takeaway is simple: optimizing for only one channel means leaking demand at every other stage.

Why AEO Is Becoming a Core Marketing Discipline

Answer Engine Optimization (AEO) is rapidly emerging as a foundational marketing capability, with an Acquia survey finding that 70% of marketers expect AEO to reshape their digital strategies. Unlike traditional SEO, AI models prioritize clarity, authority and relevance over keyword density. They pull from structured, credible content across the web to generate direct answers. That means brands must rethink how they design content across owned, earned and partner channels.

Winning AEO strategies focus on:

  • Clear, direct answers to common buyer questions
  • Structured formats such as FAQs, Q&A articles and comparison guides
  • Credible citations, expert perspectives and consistent brand messaging

Instead of asking “What keywords should we rank for?” marketers should ask “What questions do buyers ask AI when they are researching our category and are we the brand being referenced?”

For example, a financial services company that publishes a clearly structured guide on spotting credit card fraud written in question-and-answer form and supported by expert sources stands a far better chance of being surfaced by AI platforms when a user asks, “How can I tell if my credit card information has been compromised?” That likelihood increases further when the guidance is reinforced by earned coverage from reputable third-party sources, such as a NerdWallet article, which often influences AI recommendations more than owned content alone.

Social Search Still Decides What People Buy

AI can recommend, but social content can convert. Social search is still as important as ever because it’s rooted in real experiences from actual people. Consumers are more likely to trust the recommendations they get from creators, peers, forums and other communities more than company messaging or AI algorithms. TikTok and YouTube, in particular, have proven to be effective for more than just generating awareness. They’re increasingly becoming the final stop on consumers’ buying journeys to validate their purchase decisions.

This makes creator marketing a critical growth lever in the new search ecosystem. Creators influence discovery, shape perception and drive conversion, often in ways that traditional attribution models struggle to capture.

For marketers, the mandate is not simply to “do influencer marketing,” but to build creator programs that reinforce credibility and consistency. Authentic alignment matters. Creator content that feels forced or transactional undermines trust and weakens long-term discoverability.

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Using Creator Content to Support AI Discoverability

Creator content can also function as a form of user-generated content to boost AI discoverability. When choosing creators to partner with, consider their reach outside the walled gardens of Meta and TikTok. Their voice in the channels that LLMs draw from for recommendations can meaningfully increase their share of visibility in AI-generated answers.

Forward-thinking marketers are extending creator strategies to improve AI discoverability by:

  1. Encouraging creators to participate in relevant Reddit and community discussions where AI models actively source information.
  2. Converting creator insights into text-based formats such as newsletters, articles or podcast transcripts that AI can easily ingest.
  3. Repurposing creator narratives into structured owned content, such as FAQs, guides and product explainers that reinforce brand authority.

This approach allows creator marketing to drive both human trust and machine recognition.

A New Search Playbook for Modern Marketers

AI has not replaced social or traditional search. It has raised the bar for integration. For marketers, success now depends on orchestrating visibility across all three environments.

That means:

  • Designing content for AI:

Build clear, structured, authoritative assets that answer real buyer questions.

  • Activating trusted creators:

Invest in voices that influence both consumer behavior and emerging AI models.

  • Managing brand narrative:

Understand that AI recommendations are shaped by the totality of content, reviews and conversations surrounding your brand.

Search is no longer just an SEO function. It is a demand-generation and brand-trust challenge. Marketers who recognize this shift and take action will shape how their brands are discovered, recommended and chosen in the AI-driven future. Those who don’t may still rank, but are unlikely to win.

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Associate Owners Group (AOG) Announces Strategic Partnership with Copper CRM

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

Associate Owners Group

Associate Owners Group (AOG) today announced a significant expansion of its technology ecosystem through a strengthened partnership with Copper CRM.

Associate Owners Group (AOG) Announces Strategic Partnership with Copper CRM
Associate Owners Group (AOG) today announced a significant expansion of its technology ecosystem through a strengthened partnership with Copper CRM, a fast-growing, Google-integrated customer management platform founded in 2014. Copper CRM has been aligned with AOG “since the beginning,” and today’s announcement formalizes its role as a core technology pillar supporting partners worldwide under AOG Technologies.

AOG exists to empower business owners with world-class tools, leadership, and opportunity…This partnership is a natural fit for the future we’re building.”

— AOG Co-CEO, Jamie Prickett

Copper CRM is designed for financial services agents and agency owners, offering tools that help users stay organized, strengthen client relationships, automate workflows, and operate at scale. Known for its deep integration with Google Workspace, Copper provides an intuitive, powerful platform that streamlines operations while improving both client service and retention.

A Platform Built for Modern Advisors
Copper CRM emphasized its mission is:
“We aim to help our customers stay organized, provide exceptional service, and create loyal, repeat clients; all in one easy-to-use tool.”
Copper supports financial professionals across the United States, Canada, Australia, France, Belgium, Italy, the Netherlands, Japan, Sweden, and more making it a natural fit for the broad international reach of AOG’s growing ecosystem.

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CEO Perspective
Copper CEO Steve Holm praised the power of aligning with a forward-thinking organization like AOG:
“Copper was built to empower advisors, agents, and teams to work more intelligently, not more frantically. AOG’s commitment to elevating business owners aligns perfectly with our mission. Formalizing this partnership allows us to innovate faster, reach more entrepreneurs, and deliver a technology experience that truly makes a difference.”

AOG Leadership: “A Natural Fit”
AOG Co-CEO Jamie Prickett highlighted how Copper supports the long-term vision of AOG companies:
“AOG exists to empower business owners with world-class tools, leadership, and opportunity. Copper CRM has been with us from the start, and their team’s innovation and integrity reflect everything we stand for. They bring organization, efficiency, and world-class integration to our partners worldwide. This partnership is a natural fit for the future we’re building.”

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Driving the Future of Agent-Centered Technology
Copper’s combination of intuitive design, workflow automation, team collaboration tools, and strong Google Workspace integration sets it apart in a crowded CRM market. Their commitment to “staying simple while solving complex challenges” continues to resonate with financial agents seeking to grow without adding administrative burden.

By joining AOG officially, Copper will expand its reach and accelerate its development pipeline, ensuring that AOG business owners benefit from the most advanced, agent-centric CRM tools available.

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Gamma Launches Gamma Imagine to Bring AI-Native Design to the Masses

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Gamma Launches Gamma Imagine to Bring AI-Native Design to the Masses

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The company is expanding the platform from AI-powered presentations, websites, and documents to include a powerful new AI-native visual creation tool and several other features in its biggest release to date

Gamma, the AI-powered platform for visual communication, announced the launch of Gamma Imagine, a new AI design tool that lets users create standalone, on-brand design assets, such as logos, infographics, diagrams, and social posts, directly inside Gamma. It marks the company’s most significant expansion to date, moving well beyond presentations and documents into the full visual design category. The release also includes a new set of enterprise integrations, bringing Gamma directly into the tools teams already use.

Teams today face mounting pressure to produce more branded visual content, faster, and across more channels than ever. Legacy design tools have responded by bolting AI onto existing workflows, but Gamma Imagine is AI-native at its core. It’s designed to act like a human graphic designer, automatically applying a team’s brand colors and visual identity, with the ability to refine any output using natural language. Users can also upload a reference image to match a style across an entire creation. And while most AI image tools only offer a single output with limited control, Gamma Imagine presents users with multiple creative directions for each asset.

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Additional key features of the launch include:

  • AI-native, remixable templates: Start with any gamma created previously—or one of Gamma’s 100+ new professionally-designed templates—and simply describe the desired changes to get a personalized, fresh version instantly.
  • Smart Charts: Build interactive charts and data visualizations, like bar charts, scatter plots, funnels, and heatmaps, that automatically inherit brand styling.
  • AI Illustrations: Generate and revise branded illustrations, like logos, marketing assets, and social graphics, using natural language prompts.
  • AI Infographics: Create on-brand infographics and diagrams from a text description, ready to use as a standalone asset or inside a presentation or document.

Gamma is also expanding its integration ecosystem to meet professionals in the tools they already use. New integrations include ChatGPT, Claude, Make, Zapier, Atlassian, n8n, Superhuman Go, and Profound, with additional platforms like Glean coming soon. Users can now generate Gamma content, like presentations and documents, directly from their existing AI assistants and workflows.

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“We built Gamma around the belief that anyone should be able to communicate visually without needing a design background or a design team,” said Grant Lee, CEO, Gamma. “This launch is the biggest expression of that vision yet, and with Gamma now living inside the tools where teams already work, the gap between an idea and a ready to share output is virtually nothing.”

To mark the launch, Gamma CEO Grant Lee is embarking on a global user tour, starting in Seoul, Korea on March 17, London, England on March 23, and São Paulo, Brazil on March 26. The tour reflects the international scale of Gamma’s user base: more than 80% of Gamma’s nearly 100 million users are outside the United States, making Gamma one of the most widely used AI creation tools on the planet.

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Informa TechTarget Launches AI Visibility and GEO (Generative Engine Optimization) Content Solutions for the Zero-Click B2B Buyer Journey

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Business Wire
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Informa TechTarget Launches AI Visibility and GEO (Generative Engine Optimization) Content Solutions for the Zero-Click B2B Buyer Journey

  • With up to 60% of online searches ending without a click1, B2B companies are seeing website traffic decline, as buyers increasingly use AI to identify and shortlist vendors before engaging directly with brands or sales teams.

  • Despite this changing buyer behavior, Informa TechTarget grew its tech and business audiences across its industry-leading media brands, quadrupling AI-driven audience membership in 2025.

  • The AI Visibility Audit and the GEO Topic Planner—powered by Informa TechTarget’s expertise in audience and content development, market insights, and marketing engagement services—are designed for B2B brands seeking to sustain relevance and build more brand trust in a new era of search.

Informa TechTarget , a leading growth partner for the B2B technology and services sector, announced the launch of two new content strategy solutions: the AI Visibility Audit and the GEO (Generative Engine Optimization) Topic Planner. Designed as part of a strategic partnership to help businesses succeed in the AI era, these innovative solutions empower marketers to enhance their brand’s discoverability, visibility, and authority in an increasingly AI-driven landscape:

  • With the AI Visibility Audit, Informa TechTarget will help marketers understand how audiences encounter their brand through AI, identify visibility and accuracy gaps, and provide an actionable roadmap to improve discoverability, visibility, and authority.
  • The GEO Topic Planner is designed to align brands’ content plans with AI systems’ evolving preferences, to help brands build topical authority and avoid wasted content efforts and marketing spend.

The new solutions are informed by a combination of Informa TechTarget’s expertise in areas spanning content strategy, demand intelligence, and AI; its exclusive buyer intent signal data and insights; and its own experience with AI-driven audience engagement as a publisher. In addition to its brand-to-demand marketing solutions and services, Informa TechTarget manages a diverse portfolio of highly targeted media sites, including Dark Reading, Cybersecurity Dive, and Computer Weekly. In 2025, Informa TechTarget increased AI-driven traffic to these sites by 235%, and quadrupled membership sign-ups from AI referrals.

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“B2B organizations have only just begun to tap into the transformative potential of AI to drive innovation in products, services, and customer engagement. As the indispensable growth partner to the B2B sector, Informa TechTarget is committed to ensuring our client partners are at the forefront of this pivotal shift,” said Gary Nugent, CEO of Informa TechTarget. “We’re in a unique position to move the B2B sector forward in its adoption of, and preparedness for, all the ways in which AI is rapidly changing the B2B marketing and sales landscape, due to our expansive set of market and buyer insights, top-of-the-line content studio, marketing and tech expertise, and expansive network of industry-leading media properties.”

GEO—sometimes referred to as AIO (Artificial Intelligence Optimization), AEO (Answer Engine Optimization), AISO (AI Search Optimization), and LLMO (Language Learning Model Optimization)—is an emerging practice as marketers adapt to the growing trend of zero-click search, or the shift of individual consumer and B2B buyer research from search engines to AI answer engines, such as ChatGPT, Perplexity, Claude, Microsoft CoPilot and Google Gemini. A survey by global consultancy Bain & Company found that “about 80% of consumers now rely on ‘zero-click’ results in at least 40% of their searches” (Bain–Dynata Generative AI Consumer Survey, December 2024). And research by global analyst firm Forrester finds that “B2B buyers are adopting AI-powered search at three times the rate of consumers” (“Messaging for a Zero-Click World,” Forrester Research, Inc., June 10, 2025).

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“Marketers are seeing the need and opportunity to leverage AI search as a channel to drive prospect engagement, but not everyone has the expertise, data, and tools to do so effectively yet,” said Jane Qin Medeiros, General Manager, Brand to Demand, Informa TechTarget. “With these powerful new AI visibility and GEO content solutions, we’re empowering our clients with the latest expertise and tools to ensure their brands are visible, trusted, and aligned with AI-driven shifts in audience behavior.”

“Brands need a partner who understands not just how LLMs evaluate and recommend information, but also how to actually create quality content, or update existing content, that will be deemed valuable by these LLMs—while still telling a compelling human story,” said Mandi Tompkins, Head of Studio by Informa TechTarget. “That’s why our team combines strategic guidance, technology expertise, and multimedia creative talent, so that we can bring brand stories to life where and how audiences engage with them.”

Studio by Informa Tech Target is a full-scope multimedia content studio, powered by 100+ skilled creators, content strategists, tech and AI experts, and a deep understanding of buyer audiences. Formed by the Informa TechTarget merger, it combines talent and complementary capabilities from trade publisher Industry Dive’s studioID and webinar platform BrightTALK’s BrightTALK Studios, for a best-in-class multimodal offering spanning videos, podcasts, events, design, research reports, and more.

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BetterCloud Launches Chrome Browser Extension to Combat AI-Accelerated Shadow IT and De-Risk Resulting SaaS Sprawl

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BetterCloud Launches Chrome Browser Extension to Combat AI-Accelerated Shadow IT and De-Risk Resulting SaaS Sprawl

BetterCloud, the leading platform for SaaS management, announced the launch of its new Chrome Browser Extension, a powerful tool that gives IT teams expanded visibility into their organization’s SaaS ecosystem. The extension directly addresses the growing challenges of shadow IT and shadow AI by discovering unmanaged applications and providing actionable insights to optimize costs and enhance security.

According to a recent survey by Ernst & Young, 97% of technology executives view autonomous AI pursuits as a “high” or “essential” priority. However, the report also revealed that AI adoption is far outpacing the ability to manage it: 78% of respondents confirmed that AI adoption is growing faster than their organization’s ability to effectively manage the associated risks, and over 52% reported that department-level AI initiatives are operating without formal approval or oversight.

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This unchecked enthusiasm for AI is accelerating the very shadow IT and SaaS sprawl that IT, security, and finance teams have been battling for years, as employees bypass traditional controls by signing up for applications outside of SSO and approved procurement channels. This behavior results in hidden risks, wasted budgets, and limited oversight.

Now, if employees can browse it, IT can manage it. BetterCloud’s Chrome Browser Extension delivers SaaS visibility that follows the user, not just the API. The extension is a key component of BetterCloud’s multi-layered discovery approach, which combines data from Single Sign-On (SSO) providers, financial systems, and now, the browser. This provides a complete, 360-degree view of an organization’s entire SaaS portfolio.

“Shadow IT isn’t just a security risk, it’s a major financial drain,” said David Bean, Chief Product and Technology Officer at BetterCloud. “End users move fast, often adopting unsanctioned AI tools or browser-based SaaS without IT involvement. Our Chrome Browser Extension gives IT admins a proactive line of defense, transforming every browser into a trusted visibility point. It’s enterprise-grade visibility without the friction – designed to stop guessing and start governing.”

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BetterCloud Chrome Browser Extension features include:

  • Comprehensive app discovery: Identifies all SaaS applications being used, including managed, unmanaged (Shadow IT), and the recent influx of AI tools, by monitoring URLs, domains, and session activity.
  • App discovery dashboard: Centralizes intelligence within the BetterCloud platform, categorizing discovered apps and providing key metrics like Daily and Monthly Active Users (DAUs/MAUs), frequency of use, and recency.
  • Smart filtering and privacy: Uses Google native allow/block lists to ensure data collection is focused on corporate-related web use, maintaining a crucial balance between security and user privacy.
  • Actionable, automated workflows: Transforms insights into action by triggering automated processes, such as license reclamation which detects inactive users and initiates workflows to ask if they still need their license, automatically deprovisioning access if the answer is no.

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SkrewAI Launches Free Camera App That Uses Physics to Prove Videos Are Real

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SkrewAI Launches Free Camera App That Uses Physics to Prove Videos Are Real

Patent-pending app replaces the default phone camera with a full-featured alternative that captures sensor data during every recording, creating unfakeable proof of human presence

SkrewAI LLC launched SkrewAI Camera, a free full-featured camera app for iOS and Android that takes a fundamentally different approach to the deepfake crisis. Instead of trying to detect AI-generated content after it spreads, SkrewAI lets creators prove their videos and photos are real at the moment of capture — using device sensor data that artificial intelligence cannot fake.

The app records synchronized telemetry from the phone’s accelerometer, gyroscope, and magnetometer alongside every video and photo. On the backend, SkrewAI’s proprietary algorithms and large language models cross-analyze sensor patterns against the visual content itself — verifying that physical motion, orientation, and environmental data are consistent with what the camera recorded. The result is a physics-based proof that a real human held a real device in a real environment.

“Detection asks ‘is this fake?’ We ask ‘can you prove it’s real?'” said Uroš Jojić, founder of SkrewAI. “To forge a SkrewAI-verified video, you’d need to fabricate accelerometer, gyroscope, and magnetometer readings that perfectly match your video content, frame by frame, while running on verified hardware. The physics don’t lie.”

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Key Features

  • Full camera replacement: Video, photo, slow-motion, and timelapse modes with cinematic stabilization, face-aware focus, exposure control, and filters — offering more shooting options than the stock camera app while adding verification to every capture
  • Seamless local integration: All verified media saves directly to the phone’s gallery and syncs to the cloud in the background — no app switching, no workflow changes
  • Advanced backend analysis: Proprietary algorithms and LLMs cross-reference sensor telemetry against visual content for multi-layered authenticity verification
  • Screen recording detection: Identifies attempts to re-record manipulated content displayed on another screen
  • Social proof pages: Every capture generates a shareable verification URL with interactive sensor visualizations, device data, and GPS mapping — a TikTok-style format designed for social sharing where anyone can verify authenticity with one tap
  • Copyright protection: Timestamped, sensor-verified proof of original creation for content ownership disputes

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SkrewAI is building machine learning models trained exclusively on cryptographically verified authentic content — a growing dataset of proven human recordings no other company can replicate. With social features including vertical-scroll browsing and community engagement on verification pages planned for upcoming releases, SkrewAI is positioning verified content as shareable social proof, not just a security tool.

SkrewAI Camera is free to download and free to use, with iOS as the primary platform. Blockchain-backed proof certificates and C2PA Content Credentials interoperability are also in development. The technology is patent-pending (US Patent Application No. 19/409,651).

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Blackbaud Launches New Category of AI Agent with General Availability of its First Agent for Good™

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Blackbaud Launches New Category of AI Agent with General Availability of its First Agent for Good™

The Development Agent, designed to help personalize donor engagement and grow giving at scale, is the first-ever expert agent to be embedded in a dedicated social impact platform

Blackbaud, the world’s leading provider of AI-powered solutions for social impact, announced the general availability of the Development Agent, Blackbaud’s first Agent for Good™, to Raiser’s Edge NXT® customers in the U.S., with availability internationally and in other products to follow. Building on its leadership trajectory as the category creator for systems of record in the fundraising market, Blackbaud is now defining a new category of agentic AI for social impact: one where expert digital teammates are native to a sector-specific platform, making them the first agents of this type able to execute fully autonomous social impact workflows under human supervision.

With the Development Agent, Blackbaud moves the sector beyond bolt-on agents, which can introduce data gaps and security risks, and AI assistants that offer insights but don’t meaningfully add capacity. The Development Agent – operating autonomously, but with human oversight like any team member – can identify, cultivate and engage donors with individualized, timely, and brand-aligned outreach at a scale fundraising teams could never achieve alone.

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“I believe the social impact sector has a monumental opportunity to benefit from the advancements in agentic AI,” said Mike Gianoni, President, CEO and Chairman of the Board at Blackbaud. “If used responsibly and effectively, agentic AI has the potential to completely redefine what’s possible when people unite around shared purpose. Together, the social impact sector could unlock the greatest advancement of purpose-driven missions in human history. We are all in on supporting our customers as the world’s most trusted and powerful AI engine for social impact.”

The Development Agent is embedded within the trusted Blackbaud solution, which leverages decades of proprietary philanthropic data and deep sector-specific contextual intelligence. Customers can be confident in the Development Agent’s ability to operate within the ethics, behaviors and judgment patterns that shape real-world decisions, which is critical to maintaining and strengthening donor trust. Delivering individualized outreach and building donor trust at scale has the potential to grow revenue exponentially.

“The Development Agent can steward all donor relationships, but I know many of our customers are going to be particularly excited about the potential for cultivating mid-tier donors,” said Paul Goldstein, Senior Director and Head of AI Growth at Blackbaud. “Mid-tier donors are a high-potential group because these individuals are often affluent enough to give more, but don’t necessarily have a deep enough personal affinity with the organization to inspire them to do so. The challenge is, fundraising teams rarely have the capacity to personally steward or engage this large donor segment the way they do major givers. The Development Agent changes this, offering those teams the capacity to tap into this massive potential to build that authentic personal connection to the mission and grow giving.”

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Brian Otis, Vice President for University Advancement at the University of New Haven, which participated in Blackbaud’s Early Access Program for the Development Agent, noted, “We’re using the Development Agent to accelerate donor connections and make those connections more impactful in a shorter period. This will help us accelerate fundraising across all levels.”

Blackbaud plans to expand The Development Agent next to Blackbaud Enterprise Fundraising CRM™ and ultimately introduce other Agents for Good across its product suite. Blackbaud Agents for Good are just one element of a broader strategy to transform what is possible for social impact with AI. The company will expand Agents for Good across core business needs for social impact teams; introduce more ways to expand optionality of access to Blackbaud intelligence; and continue its rapid expansion of Blackbaud AI capabilities, including Chat for Blackbaud AI. Blackbaud customers have never had so many options to leverage AI-driven technology to support their outcomes.

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Contentsquare Launches New AI Agent And Analytics Capabilities to Understand Customer Journeys Across LLMs, ChatGPT Apps, Web, and Mobile

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Contentsquare Launches New AI Agent And Analytics Capabilities to Understand Customer Journeys Across LLMs, ChatGPT Apps, Web, and Mobile

Digital analytics leader expands its platform with configurable AI agents, ChatGPT app and prompt analytics, visibility into LLM traffic, and conversation intelligence — giving organizations a 360-degree view of AI-driven and support experiences

AI is rapidly changing how customers discover and interact with brands. Journeys that once happened on websites and mobile apps now begin inside AI assistants, chatbots, and conversational platforms like ChatGPT. For brands, this creates a new challenge: how do you understand customer journeys that now span humans, LLMs and AI agents?

Contentsquare is expanding its platform to answer that question. New capabilities bring together signals from websites, mobile apps, AI assistants, and support conversations into one connected system — giving teams a 360 view of modern customer journeys.

“Customer experiences today aren’t just human-driven — they involve LLMs, AI agents, and multiple digital touchpoints that act alongside them,” said Jonathan Cherki, CEO and Founder of Contentsquare. “Brands that want to succeed in this agentic era need visibility into every interaction; from conversations and support tickets to social feedback and AI agent behavior. With Sense Analyst and Contentsquare’s 360 experience intelligence, teams can finally connect the dots, prioritize what matters most, and act in real time to improve experiences, retention and growth.”

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Sense Analyst: Configurable AI Agent delivers powerful insights in context

Sense Analyst, Contentsquare’s analytics agent, is now fully configurable to each organization’s goals and priorities. Rather than simply reporting metrics, Sense Analyst proactively identifies opportunities for improvement, surfaces insights in context, and helps teams focus on the actions that will have the greatest impact on customer experience and business performance.

Sense Analyst provides:

  • Personalized insights aligned with each user’s projects, KPIs, and industry context
  • A customizable Newsroom where AI agents work 24/7 to analyze experience data, detect issues and growth opportunities, and surface the most important actions based on business impact
  • Scheduled delivery of insights directly to email inboxes so teams stay informed without constantly monitoring analytics tools

Visibility into the emerging ChatGPT app ecosystem

As AI assistants become a new channel for discovery and engagement, more brands are developing apps within LLMs.

Contentsquare now provides visibility into activity within ChatGPT apps, showing how customers discover brands through prompts, interact within these experiences, and move between AI assistants and websites on their path to engagement and conversion.

For the first time, brands can understand whether customers are discovering them through AI assistants, if those interactions lead to meaningful engagement, and how those journeys evolve over time.

These insights help organizations answer critical questions such as:

  • Which prompt generates conversion and revenue ?
  • How should we optimize experiences built within AI ecosystems?
  • Should we invest more in LLM apps or AI assistant experiences?
  • Are customers returning through these channels?

“At Accor, we are committed to bringing the ALL Accor experience to where our guests are. Being a first-mover on ChatGPT allows us to redefine digital hospitality, and partnering with Contentsquare ensures we understand these new AI behaviors from day one to deliver a seamless, personalized journey,” said Yassine HACHEM, SVP E-commerce & Customer Engagement at Accor.

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New LLM analytics

The rise of AI agents is also changing how websites are accessed and navigated. Contentsquare now provides analytics for LLM- and agent-driven traffic, giving organizations visibility into whether visitors are human or AI-driven—and how these new traffic sources engage with their digital properties.

This includes insights into:

  • The traffic that originates from LLM chatbots
  • Navigation and conversion for LLM-referred traffic

These insights help organizations understand how AI agents interact with their sites and ensure the right information is available as AI plays a growing role in discovery and purchasing decisions.

Conversation intelligence connects feedback, reviews, behavior and revenue

As more customer journeys begin with a conversation, Contentsquare helps teams connect conversations, behavior, and business outcomes.

Contentsquare’s new conversation intelligence solution, powered by its recent Loris acquisition, captures every customer conversation across support tickets and calls and in-product chats to reveal what’s really happening in the customer experience and how customers perceive the brand.

It is now further enriched with signals from reviews and social posts, giving brands a broader view of customer feedback and connecting conversations with digital behavior to reveal what’s working, where customers struggle, and what changes will have the biggest impact.

By enriching experience data with customer voice and business impact, organizations can better understand:

  • What customers are saying, their sentiment, and where they encounter friction
  • How they go from conversation to website and vis and versa
  • Which changes will have the biggest business impact on experience and loyalty

“Contentsquare’s AI capabilities, particularly Session Replay Summaries, have been game-changing for us. They help us analyze user behavior faster and communicate friction points to teams across the organization. Combined with the platform’s visual analytics, we’ve achieved a 31% improvement in conversion rates and made our entire redesign process data-driven rather than subjective,” said Alexandra Alessi, VP of Brand.com at Olaplex.

Customer insights now available wherever people work

Contentsquare continues to extend experience intelligence beyond the platform and into the tools teams already use every day — including Claude, Cursor, Microsoft Copilot, and other AI assistants — so insights are available right in the flow of work. Using the Model Context Protocol (MCP), Contentsquare makes experience data accessible to AI agents and LLM‑powered tools, enabling teams to ask natural questions like “Where is friction highest this week?” and get answers instantly without switching systems.

Contentsquare unveiled its latest platform updates at CX Circle London, marking the first stop of its global tour bringing together digital and customer experience leaders.

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Ping Identity: Only 9% of Organizations are Prepared for Continuous AI-Driven Identity Threats

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Ping Identity: Only 9% of Organizations are Prepared for Continuous AI-Driven Identity Threats

An independent global study finds that organizations meeting verified trust criteria achieve 51% higher transaction conversion and 43% lower fraud losses.

Ping Identity, a leader in securing digital identities for the world’s largest enterprises, released independent research showing that organizations that have operationalized continuous, contextual identity verification materially outperform peers across revenue growth, fraud reduction, compliance readiness, and workforce productivity as AI-driven interactions scale.

The white paper, conducted by International Data Corporation (IDC) and sponsored by Ping Identity, highlights a clear maturity gap between perception and execution, while more than half of organizations believe they lead in digital trust, only a small fraction has operationalized continuous, contextual identity verification at scale.

Based on a global survey of 794 organizations, IDC found that enterprises meeting verified trust criteria delivered statistically significant performance advantages across core enterprise metrics:

  • Customer registration conversion: 51% higher
  • Compliance readiness: 44% stronger
  • Fraud losses: 43% lower
  • Workforce onboarding time: 47% faster

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What is verified trust, and why is it important? 
IDC defines verified trust as “a continuous assurance that every digital interaction, whether human or machine/AI agent, is tied to an independently verified identity and remains trusted over time.” It enforces continuous, contextual verification for every identity-sensitive event using signals such as zero-knowledge biometrics with liveness detection, device posture, behavioral intelligence, and AI-aware risk analysis.

According to the white paper, this model “transforms identity from a static gate into a dynamic trust fabric.” This shift moves identity from a perimeter authentication event to a runtime control plane governing every authorization decision.

“In today’s threat landscape, identity can no longer be treated as a single authentication event. In an AI-mediated enterprise, every authorization decision must be continuously verified, contextualized, and governed,” said Peter Barker, Chief Product Officer at Ping Identity. “This research confirms that organizations embracing continuous, contextual verification reduce risk while unlocking measurable business value. Verified trust is how enterprises close the gap between confidence and control in an AI-driven world.”

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Closing the Verified Trust Gap
Despite the measurable gains, IDC found a significant maturity gap between perception and reality. The study highlights several critical divides between leaders and early-stage adopters:

  • Perception vs. reality: 51% of organizations believe they are ahead of peers in establishing trusted digital identity, yet only 9% meet IDC’s criteria for verified trust leaders.
  • Verification coverage: 69% of leaders verify 75-100% of trust flows, compared to 16-19% of early-stage adopters.
  • Adoption at scale: 94% of leaders operate at enterprise scale across trust flows, while early-stage organizations remain confined to pilot deployments.
  • Passwordless maturity: Leaders embrace biometrics, passkeys, and digital wallets at 80–83%, while starters hover below 30%.

“Verified trust is no longer a design choice – it’s the prerequisite for operating at scale in AI driven environments,” said Emanuel Figueroa, Senior Research Analyst at IDC. “As AI increases autonomy and complexity, identity becomes the mechanism for control, accountability, and confidence. Organizations that establish this foundation early will move faster with less risk; those that don’t will accumulate cost, friction, and regulatory exposure over time.”

As enterprises accelerate AI adoption, verified trust across human and AI identities is foundational to maintaining control and accountability across every interaction. Ping Identity enables enterprises to operationalize verified trust across workforce, customer, partner, and AI identities—establishing a unified trust control plane that adapts in real time as risk, behavior, and machine interactions evolve.

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Opsera Unified Insights Now Available in the Microsoft Marketplace

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Opsera Unified Insights Now Available in the Microsoft Marketplace

ustomers can deploy Opsera to accelerate innovation and business transformation with unified integration across Microsoft products

Opsera, the leader in Agentic DevOps, announced the availability of Unified Insights in the Microsoft Marketplace, the unified online destination for customers to buy trusted cloud solutions, AI apps, and agents to meet their business needs. Microsoft customers can now discover and deploy trusted Opsera solutions through Microsoft Marketplace, with smooth integration and streamlined management across Microsoft Azure and other Microsoft products.

Opsera Unified Insights empowers enterprises to safely operationalize and govern AI across the modern, heterogeneous software development lifecycle (SDLC) and help them adopt/transform into AI-SDLC. Powered by reasoning AI agents, Opsera helps organizations translate metrics into business value, fix delivery friction that squanders AI productivity, and quantify ROI of AI investments. Opsera is already helping Fortune 1000 companies on Microsoft Azure improve 24/7 operational resilience by reducing Time to Pull Request by 85% and increasing deployment frequency by 65%.

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Opsera is an Agentic DevOps Platform designed for Microsoft Azure environments, enabling enterprises to orchestrate and automate software delivery across Azure, GitHub, Microsoft Teams, and hybrid environments. Powered by Hummingbird AI, Opsera provides intelligent orchestration and governance to unify toolchains, standardize delivery workflows, and accelerate time-to-value for development teams in the Azure ecosystem.

“We are excited to bring Opsera’s Agentic DevOps platform and intelligent AI agents to the Microsoft Marketplace. Enterprises are increasingly moving from traditional SDLC to an AI-driven software delivery lifecycle (AI-SDLC), and Opsera empowers this transformation by automating complex CI/CD workflows, enforcing security and compliance, and providing actionable insights across every stage of development. By integrating with the Microsoft ecosystem, we help customers unlock faster, safer, and more intelligent software delivery, turning AI adoption into tangible business outcomes,” said Kumar Chivukula, Co-founder and CEO of Opsera

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“Microsoft Marketplace helps organizations and partners move faster, work smarter, and grow by connecting them with the right solutions—all in one trusted place,” said Cyril Belikoff, vice president, Microsoft Azure Product Marketing. “We’re happy to welcome Opsera’s solutions to the growing Microsoft Marketplace ecosystem.”

Microsoft Marketplace is a single destination to find, try, and buy trusted cloud solutions, AI apps, and agents to meet your business objectives. Choose from a growing collection of solutions tailored to your unique needs, available both in Marketplace and directly within Microsoft products.

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Convr AI Powers Underwriters with Actionable Insights, Faster

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Convr AI Powers Underwriters with Actionable Insights, Faster

As the leader in artificial intelligence (AI) for commercial insurance, Convr equips customers with a conversational AI assistant embedded directly into the underwriting workbench.

The Generative AI approach supports underwriting analysis by helping teams dig deeper into submission data and uncover actionable insights. Those insights can then be acted upon immediately — informing changes, updating the submission, creating tasks, or taking other necessary steps — so underwriters can move forward efficiently.

Purpose-built on the Convr Context Engine — comprised of a commercial insurance ontology, knowledge graph, and semantic layer that powers a multi-line schema — this unique foundation enables the Generative AI to deliver high-performing interactions out of the box with minimal model dependencies showing a holistic view of the risk with ease and confidence.

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How Convr AI works
The Generative AI module lets underwriting teams discuss submissions interactively and complete action steps directly within the submission. The AI-powered assistant reviews both the data in a submission and relevant public data available to Convr. It then creates a summary with key observations for the underwriting team, and complete the remaining steps needed to finalize the submission.

The technology is designed to enhance underwriting efficiency and accuracy as the Generative AI streamlines day-to-day tasks by instantly retrieving submission details, summarizing risk data, and answering underwriting questions in real time.

“This is similar to ChatGPT where we can ask any observations or questions about a submission and the result is an accurate account or summary of the results,” said Harish Neelamana, Co-Founder and President at Convr. “Following a prompt, it can actually take an action and finalize the submission for the underwriter.”

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Whether a customer is reviewing a complex commercial policy or triaging new submissions, the Generative AI module helps underwriters work smarter, not harder all within the Convr AI ecosystem. And conversations with the AI Assistant are memorialized in the underwriting file making it easy for an underwriter to analyze and improve its usage.

This workbench feature marks a pivotal moment in commercial insurance as Convr advances the industry from manual underwriting to technological innovation.

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Kore.ai Launches Agent Management Platform to Bring Governance and Control to Enterprise AI

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Multimedia Plus Launches MMP AI Studio, Turning Product Content Into Training and E-Commerce Videos in Minutes

Kore.ai Logo

Kore.ai, a provider of agentic applications and a market-leading enterprise AI platform, announced the launch of its Agent Management Platform, a unified command center designed to govern, monitor, and manage AI agents and AI systems across the enterprise.

As organizations rapidly deploy AI and multi-agent systems, many are encountering “AI sprawl,” a phenomena analysts describe as dozens of AI initiatives across different teams, tools, and clouds without centralized visibility or governance. Gartner predicts that by 2028, enterprises will operate thousands of AI agents across various business functions, making centralized management, policy enforcement, and value measurement critical for the responsible adoption of AI.

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The Kore.ai Agent Management Platform provides enterprises with a single operational layer to manage AI systems across frameworks, clouds, and development environments, including LangGraph, CrewAI, AutoGen, Google ADK, AWS AgentCore, Microsoft Foundry, Salesforce Agentforce, and proprietary systems. It consolidates AI observability, governance enforcement, performance monitoring, and value measurement, enabling organizations to move from fragmented AI experimentation to controlled, enterprise-scale deployment.

Two core capabilities distinguish Agent Management Platform from other emerging solutions. First, the platform provides a comprehensive evaluation studio that allows enterprises to test agent behavior, workflows, and outcomes before production deployment, helping teams reduce uncertainty and accelerate time to reliable deployment. Second, AMP is designed to operate across heterogeneous AI environments. While similar governance offerings from established players are typically limited to their own ecosystems and many startup solutions have limited connectivity with enterprise applications, Kore.ai’s agnostic architecture and deep integration capabilities enable enterprises to connect and govern AI systems built across multiple frameworks, tools, and platforms.

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“AI agents are rapidly becoming the new software workforce inside enterprises,” said Prasanna Arikala, CTO and Head of Products at Kore.ai. “But without centralized governance, enterprises risk losing visibility and control over how AI operates across the organization. The Agent Management Platform introduces a new operational layer for enterprise AI, giving leaders the ability to manage AI agents with the same discipline, transparency, and accountability as any other critical business system.”

The new AMP platform integrates with AI agents built across leading frameworks and ecosystems, enabling organizations to manage heterogeneous AI environments through a unified control plane. Enterprises can now track AI performance and costs, enforce governance policies consistently, detect anomalies or drift, and align AI initiatives with measurable business outcomes.

“AI is quickly becoming core infrastructure for how enterprises operate,” said Raj Koneru, CEO and Founder of Kore.ai. “But scaling AI responsibly requires more than powerful models; it requires governance, visibility, and accountability. With the Agent Management Platform, we are helping enterprises turn AI from isolated experiments into a trusted, enterprise capability that delivers real business value.”

Designed to work across multi-agent environments and heterogeneous AI ecosystems, the Kore.ai Agent Management Platform provides organizations with a centralized foundation to govern AI adoption as it scales across the enterprise.

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