Duality Technologies Enables Secure GenAI Workflows on NVIDIA GPUs

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November 13, 2025

ClickUp Acquires $25.4M-Funded Qatalog to Accelerate AI Convergence

Qatalog’s AI Technology and Enterprise Search Capabilities Join ClickUp’s Revolutionary Converged AI Workspace

ClickUp, the world’s first Converged AI Workspace, announced the acquisition of Qatalog, the AI-powered work hub with enterprise search and AI agents that attracted investments from some of technology’s most successful firms and founders. This strategic acquisition marks another acceleration of ClickUp’s AI strategy, cementing its leadership in the AI productivity space and unlocking unprecedented value for customers through real AI transformation.

“With Qatalog, ClickUp isn’t just adding another feature, we’re unlocking the next level of AI transformation.”

Qatalog, which raised $26 million from elite investors, brings battle-tested AI technology trusted by enterprise customers including Nvidia, Twitter, and Airbnb.

For years, teams have battled the chaos of Work Sprawl – disconnected apps, scattered data, and fragmented processes that silently kill productivity. ClickUp was built to end this chaos by converging all work apps, data, and workflows into a single, unified platform. With the addition of Qatalog’s revolutionary no-index, permission-aware AI search and knowledge capabilities, ClickUp is doubling down on its AI vision, delivering a step-change in how organizations harness the power of their collective knowledge.

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“Software is finally converging, and it’s about time,” said Zeb Evans, Founder and CEO of ClickUp. “With Qatalog, we’re not just adding another feature, we’re unlocking the next level of AI transformation. True AI is only possible when it has 100% context. By providing every piece of work, communication, and knowledge, ClickUp’s Converged AI Workspace delivers insights and automation that standalone tools simply can’t match. The future of software is converged and connected, and we’re leading the way.”

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The Technology: AI with Complete Context Across 100+ Enterprise Apps

Qatalog’s ActionQuery AI engine – a revolutionary permission-aware search technology – will be deeply integrated into ClickUp’s platform, enabling users to instantly surface information from any connected app without leaving ClickUp. This powers:

AI agents with full business context across 100+ enterprise integrations
Automated workflows aware of every project, conversation, and document
Real-time insights from chat, docs, tasks, wikis, and more—without compromising security permissions

Market Momentum: $300M ARR, 20M Users, Growing Fast

ClickUp’s rapid growth to over 20 million users demonstrates surging demand for unified work platforms. This acquisition accelerates the company’s AI strategy, delivering unprecedented value through real AI transformation – not just features, but fundamental workflow re-imagination.

With technology validated by investors with a track record of identifying market winners, ClickUp is positioned to lead the convergence of enterprise software and AI.

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Concord Launches Horizon AI Contract Platform

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November 13, 2025

Concord Launches Horizon AI Contract Platform

Concord announced Horizon, a conversational contract intelligence platform that enables users to query and manage agreements through natural language. Instead of navigating folders and dashboards, teams can ask questions and execute actions through conversation — accessing contract intelligence through ChatGPT, Claude, or Concord’s interface.

Horizon represents a fundamental departure from traditional contract lifecycle management platforms. The platform is built AI-first from the ground up, enables conversational interaction for both queries and actions, and integrates via Model Context Protocol (MCP) to work through existing AI tools teams already use.

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In a demonstration, a CFO asked Horizon: “Show all my contracts renewing for more than $200K this quarter.” Within seconds, the platform analyzed the entire contract repository, extracted financial data from executed agreements, and generated a cited report linking each figure to its source contract — a task that typically requires days of manual spreadsheet work.

“Contract management has been trapped in the point-and-click era while the rest of business software evolves toward conversational AI,” said Matt Lhoumeau, CEO of Concord. “Horizon eliminates the gap between needing contract intelligence and getting it. Finance teams can ask about spend commitments, Legal can audit compliance clauses, and Operations can identify renewal risks — all through conversation, without CLM training.”

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The conversational approach addresses a persistent enterprise challenge: contract data remains locked in documents accessible only to legal teams with specialized software training. Horizon makes contract intelligence available to any stakeholder who can ask a question in plain language, from CFOs preparing board decks to procurement teams evaluating supplier relationships.

The MCP integration extends Horizon beyond its native interface. Teams can query their contract repository, surface specific terms, and generate reports directly from the AI tools they already use daily — eliminating context switching and system learning curves.

Traditional CLM platforms focus on pre-signature workflow automation and require API integrations that need technical implementation. Horizon’s AI-first architecture and conversational interface represent a categorical architectural shift designed for the AI era, where natural language becomes the primary interface for business software.

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Couchbase Mobile Delivers Major Advancements for Building AI-Powered Applications at the Edge

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November 13, 2025

Couchbase Mobile Delivers Major Advancements for Building AI-Powered Applications at the Edge

New JavaScript Support, Enhanced Peer-to-Peer Sync and Multi-Region Resilience Eliminates Integration Complexity and Downtime Risk for Mobile AI Applications Operating in Disconnected Environments

Couchbase, Inc., the developer data platform for critical applications in our AI world, announced significant advancements to the Couchbase Mobile platform, which makes it possible to run AI-powered applications on devices operating at the disconnected edge. The introduction of JavaScript support for Couchbase Lite allows the embedded database to run in any web browser, creating a universal client that can operate anywhere regardless of internet connectivity. This enables offline-first browser-based web apps and unified data synchronization across web, mobile, custom hardware and desktop applications. New advances in peer-to-peer (P2P) data synchronization include device auto-discovery that adapts to dynamic network topologies and network auto-switching capabilities that adjust as users enter or leave networks. This powers offline collaboration use cases at the edge. Other enhancements to core capabilities enable deployment resilience and seamless failover, allowing customers to deliver applications that are always fast and available, with or without the internet.

“Building AI-powered applications for the edge means being able to deliver fast, personalized and always-available experiences, even in completely disconnected environments. The latest enhancements to Couchbase Mobile help developers build and ship applications faster, and ensure architects provide continuous uptime no matter what,” said Matt McDonough, SVP of Product at Couchbase. “With more than a decade of bringing mobile database innovation to production applications worldwide, these advancements provide customers with the most comprehensive mobile and edge support in the industry. And while other database vendors are deprecating their mobile support due to the inherent complexity, Couchbase is accelerating its mobile and edge capabilities to include browser-based JavaScript applications.”

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Always-On Apps Drive Business Continuity

Users increasingly engage with AI applications on edge devices, often moving through areas with limited or no internet connectivity, which presents challenges for cloud-only based solutions. Forrester found that almost half of enterprise business and tech professionals view increasing the use of edge technologies as a top priority for IT teams over the next year, emphasizing that consistently delivering reliable mobile experiences at the edge is essential for business success. This requires AI-capable applications that are resilient enough to allow data synchronization between edge devices – even in internet dead-zones – while automatically adapting to changing network conditions.

Aptos, a global leader in unified commerce solutions for retailers, relies on Couchbase to power its modern, cloud-native point-of-sale (POS) technology used by popular retail brands worldwide. The company leverages Couchbase Capella™ to power Aptos ONE, its retail experience platform, providing them the freedom to transact beyond the cash wrap counter, a key differentiator of their offering.

“Reliable data synchronization from cloud to retail store devices is essential for our customers, who need applications that always work, regardless of internet availability,” said John Carney, VP, Head of Architecture at Aptos. “Couchbase Mobile’s peer-to-peer replication capabilities allow us to provide the always-on experience retailers demand with low TCO. Moving to Capella delivered over $1 million in annual savings while reducing our infrastructure footprint from 12 deployments with 100+ nodes to a single deployment with 31 nodes.”

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Unified Platform Eliminates Integration Complexity and Downtime Risk

Organizations building AI applications for mobile face a costly dilemma: cloud-only database platforms rely on the internet, creating revenue risk when connectivity fails, while mobile-only embedded databases lack a scalable backend consolidation server, requiring expensive custom integration with enterprise cloud databases. Both approaches force development teams to integrate multiple technologies to achieve end-to-end data synchronization — adding IT complexity, slowing time to market and driving up total cost of ownership.

Couchbase Mobile eliminates this complexity with a unified solution that seamlessly integrates data sync from cloud to edge to device to web. New capabilities include:

Couchbase Lite for JavaScript: This major new capability allows developers to embed the Couchbase Lite database to browser-based web apps to eliminate internet dependencies. Local data processing makes web apps faster, ensures they’re always available, makes them more secure and less prone to data loss, and creates a unified app experience using Capella App Services and Sync Gateway to synchronize web apps with the Capella Database-as-a-Service and other Couchbase Lite mobile applications. Learn more here.
Couchbase Lite Peer-to-Peer Sync advancements: This longstanding Couchbase Mobile feature now includes out-of-the-box device auto-discovery, mesh support that adjusts as users enter or leave the network, and upcoming features that enable network auto-switching capabilities for uninterrupted synchronization and Bluetooth support. The latest capabilities make it easier than ever for developers to implement P2P sync in iOS and Android applications, reducing P2P implementation code from dozens of lines to around five compared with previous versions. This powerful new set of extended P2P sync features puts Couchbase Mobile well ahead of any competing mobile data sync solutions, especially when combined with the broader capabilities offered by Couchase. Learn more here.
XDCR and Couchbase Mobile Multi-Cluster Resilience: A key feature of Capella App Services and Sync Gateway 4.0 is cross data center replication (XDCR) support for mobile deployments, bringing multi-region resilience for zero-downtime disaster recovery, seamless failover with active standby and the ability for mobile users to seamlessly migrate between clusters. This helps provide the highest guarantees of uptime for apps and simplifies global deployments as they grow. Learn more here.
Couchbase Edge Server: Launched earlier this year, Edge Server is a lightweight database server designed to power applications in internet dead zones on resource-constrained hardware. It is ideally suited for apps in isolated environments such as airplanes, restaurants, retail stores and warehouses.

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Cyera Introduces Access Trail to Uncover Details Behind Every Data Touchpoint Across Humans and AI

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November 13, 2025

Cyera Introduces Access Trail to Uncover Details Behind Every Data Touchpoint Across Humans and AI

At DataSecAI25, Cyera redefines AI security with new platform innovations that unify data visibility, access monitoring, and automated protection needed to enable safe AI adoption at scale.

GenAI adoption is outpacing control. According to Cyera’s 2025 State of AI Report, 83% of organizations now use AI in daily work, yet only 13% say they have strong visibility into how it touches enterprise data. And with the rise of autonomous agents, continuously transforming how data moves, this is creating risky blind spots for security teams tasked with protecting sensitive information across human and machine identities.

at its flagship conference DataSecAI25 in Dallas, Cyera launched Access Trail, giving organizations detailed insight into every data touchpoint. Alongside new innovations and enhancements, Cyera is uniting its AI-powered data classification, human and non-human identities, access activities, and AI security to deliver the visibility, control, and confidence organizations need to enable safe AI adoption at scale.

“With AI fundamentally changing how data is created and accessed, security teams need a new level of visibility,” said Guy Gertner, VP of Product at Cyera. “Access Trail delivers that clarity, helping organizations monitor every interaction between data and the humans, systems, and AI accessing it, and giving them the confidence to move faster while staying secure and compliant.”

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Introducing Access Trail: Tracking Every Data Touchpoint

Access Trail gives organizations clear, cost-effective visibility into billions of access events each year with one-year data retention. Built on Cyera’s AI-native data security platform, it combines deep data classification with identity (human and AI) to connect every action to data sensitivity, ownership, business context, and key details like data location, retention, and existing security controls.

By capturing every access event, security and compliance teams can now:

Demonstrate Compliance with Evidence: Automatically generate verifiable audit reports, retained for at least one year, that replace manual reporting and demonstrate control effectiveness.
Investigate Insider Threats: Identify privilege misuse and risky behavior in near real time by correlating access patterns and actions with data sensitivity.
Monitor How AI Uses Data: Monitor AI-driven data access and transformations to maintain control, transparency, and trust in AI operations.
Reduce Risk Through Least Privilege: Proactively detect and remediate excessive or unused permissions with activity-based insights to enforce least privilege.

Access Trail, now available in Early Access, turns uncertainty into clarity by delivering the full story behind every data touchpoint. And when issues are identified, enterprises can address them quickly by using Cyera’s automated remediation capabilities, such as disabling access or sending actionable notifications to data owners.

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Building the Future of Secure AI: New Features Across Cyera’s Data Security Platform

Building on the initial reveal of AI Guardian in August, Cyera also announced advancements in both AI Security Posture Management (AI-SPM) and AI Protect.

AI-SPM is now available in Early Access (EA), enabling customers to discover and inventory all types of AI, while mapping data risk across their deployments.
AI Protect is Generally Available (GA) for public applications and Microsoft 365 environments, providing security teams the ability to detect and automatically block risky actions like non-compliant prompts or unauthorized agent actions.

Together these two enhancements provide organizations with unified visibility into every AI asset and the exact data each user and system accesses.

Transforming How Enterprises Analyze and Secure Their Data with Cyera’s AI Assistant

Also introduced in private beta is Cy, Cyera’s new GenAI assistant allowing any user to query their data in plain language. Team members with any level of expertise can now quickly accomplish grueling tasks like generating reports and answering complex questions about their data security posture.

Teams can simply ask questions like:

“Show me the lowest-effort, highest-impact issues I can resolve .”
“Generate a data retention report for the current fiscal year.”
“Summarize how Cyera has helped reduce risk over the last three months.”
“Which third-party users pose the highest risk to my data?”

Cy takes it a step further, generating shareable reports and summaries on demand, transforming complex data environments into clear, actionable intelligence.

Building the Community To Tackle Industry Challenges – Together

As the industry unites to stay ahead of evolving security landscape, Cyera introduced the DataSecAI Portal, a central hub connecting data security, compliance, and AI leaders with the resources, tools, and network they need to drive meaningful progress.

Building on Cyera’s foundation of events and educational initiatives, having already reached more than 15,500 industry professionals globally, the DataSecAI Portal provides access to Cyera’s AI Security School, Data Security School, and exclusive content and webinars designed to accelerate community learning and collaboration.

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LogicGate Eliminates Tedious, Manual GRC Data Entry with Spark AI, Adding Autofill to Efficiency Gains

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November 13, 2025

LogicGate Eliminates Tedious, Manual GRC Data Entry with Spark AI, Adding Autofill to Efficiency Gains

***LogicGate’s AI-powered enterprise platform provides a connected and holistic view of risk, making it uniquely architectured for Autofill capabilities to be* *accessible across all GRC use cases***

LogicGate, the AI-powered enterprise GRC platform, announced the company’s newest Spark AI feature, Autofill, a new capability that enables users to automatically populate forms based on existing documentation or a text prompt. Spark AI Autofill alleviates the laborious task of hand-keying data into forms, creating time efficiencies and more accuracy for users. Recognized as a Leader in the GRC Market by the Gartner® Magic Quadrant™ for GRC Tools, Assurance Leaders, we believe LogicGate is uniquely positioned to offer a use-case-agnostic Autofill that is accessible across all GRC use cases, transforming lengthy, unstructured information into actionable data across all GRC programs.

Outdated, legacy platforms require security and risk teams to conduct repetitive, tedious tasks that manually collect and report in siloed, point-in-time data — resulting in a reactive approach to risk and causing work fatigue. Built within LogicGate’s modern, connected AI-powered platform, Spark AI does the exact opposite, empowering users to work smarter and act faster through automation, generating real-time data insights, and executing actionable recommendations that move the business forward.

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Spark AI Autofill is LogicGate’s newest performance-enhancing feature, adding intelligence, speed, and precision to GRC programs. With multi-modal support for documents, audio, video, or images, users simply upload existing documentation and Spark AI does the heavy lifting of populating form fields. Every suggestion is clearly labeled for human review, ensuring a human-in-the-loop design that keeps practitioners in full control. LogicGate’s no-code form builder empowers teams to add field-level prompts that further bolster Spark AI specificity and accuracy in the context of each unique workflow.

Key Benefits of Spark AI Autofill:

Reduces Redundancy: AI intelligence does the work for you, eliminating manual inputs and minimizing review time by automatically filling out records based on existing security documentation.
Improves Data Integrity: By replacing manual input and the potential for human error with AI intelligence, resource data is automatically extracted from documents and correctly added to records, supporting clean data hygiene and faster access.
Accelerates Third-Party Assessments: Minimize back-and-forth interactions with vendors and accelerate assessment results by auto-filling questionnaires based on existing security documentation.
Provides Actionable Data: Spark AI Autofill automatically converts unstructured data, such as a meeting recording, into a structured and standardized record and allows users to automatically generate new policies, business continuity plans, or other records based on new information.
Connected Intelligence: Spark AI Autofill works in conjunction with other Spark AI features, such as record linking recommendations, to provide users with a holistic view across any risk, control, incident, policy, or other object across the platform.
Simplify Global Collaboration: Upload source documentation and when prompted, Spark AI Autofill will translate into your preferred language.

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“By eliminating mind-numbing, tedious tasks, GRC executives can redirect their teams’ focus to high-value, strategic initiatives that drive business growth and boost employee morale along the way,” said Matt Kunkel, CEO of LogicGate. “The goal is to work smarter, not harder, which is why AI is intentionally woven into our platform to understand the nuances unique to each program, conduct the remedial and repetitive tasks, and bolster the quality of data so risk professionals can prioritize actionizing real-time insights that have measurable impacts on the business.”

Spark AI is free for LogicGate customers, and with flexible adoption controls, organizations can decide exactly which AI features to enable or even bring their own OpenAI keys — ensuring AI use aligns with their risk tolerance, governance needs, and maturity level.

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Prime Focus Technologies and Metaphysic Unite as BRAHMA AI: The Future of Enterprise Media and Content

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November 13, 2025

Prime Focus Technologies and Metaphysic Unite as BRAHMA AI: The Future of Enterprise Media and Content

Prime Focus Technologies and Metaphysic have completed their transformation as BRAHMA AI, bringing together proven enterprise systems and next-generation AI tools into a single platform built for the future of media and content. Established in June 2024, BRAHMA AI was later joined by Metaphysic through a merger in early 2025, and the integration of technology and teams is now complete.

BRAHMA AI combines CLEAR and CLEAR AI from PFT with Atman (Digital Humans) and Vaani (Voice Localisation) from Metaphysic, forming a unified ecosystem that delivers creative excellence, operational efficiency, and measurable ROI through automation, governance, and intelligence.

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“BRAHMA AI is about more than technology; it brings together our proven solutions into one unified system that expands what enterprises can achieve with AI-enabled content. By combining management, intelligence, and creation within one ecosystem, we’re elevating both the scale and the impact of enterprise storytelling,” said Prabhu Narasimhan, CEO, BRAHMA AI.

At its core, BRAHMA AI is powered by its Machine Wisdom Orchestration Brain, a patented engine that connects trusted data, multimodal intelligence, and creative tools, including high-fidelity Atman digital humans, Vaani multilingual voice localisation, and curated third-party AI models, into one seamless and auditable content supply chain.

Building on more than 17 years of leadership in media asset management, BRAHMA AI extends CLEAR’s enterprise foundation into a new generation of capabilities that integrate management, creation, distribution, and security within one orchestrated environment.

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Foundational Layers of BRAHMA AI Creator Platform:

MANAGE – Centralises and contextualises enterprise media, data, and workflows across the end-to-end content supply chain, enabling smarter, more efficient operations.
CREATE – Empowers AI-driven content creation through BRAHMA AI Studio, which curates the world’s best AI models, digital humans via Atman, and localisation through Vaani, proven in film production for unmatched creative quality and efficiency.
DISTRIBUTE – Packages and securely delivers authentic, compliant content using C2PA-certified workflows.
SECURE – Embeds enterprise-grade data protection, governance, and compliance across the entire content lifecycle.

Proven and Enterprise-Tested

BRAHMA AI serves a broad spectrum of sectors including Media and Entertainment, Retail and Consumer Brands, Sports, Healthcare, Education, and Enterprise Communications, enabling organisations to scale content creation with precision, compliance, and measurable business impact.

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Smartcat Debuts End-to-End SCORM Translation: All Assets, One Workflow, Zero Manual Work

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November 13, 2025

Smartcat Debuts End-to-End SCORM Translation: All Assets, One Workflow, Zero Manual Work

AI Agent eliminates separate workflows for each SCORM package asset, accelerating multilingual training for global enterprises.

Smartcat announced the launch of an AI-powered solution that automates the entire translation lifecycle for SCORM courses, the standard format for online training content used in corporate learning systems. Smartcat’s Learning Content Agent now enables learning and development (L&D) teams to translate every asset within a course—including text, images, videos, and documents—in a single, automated process. This allows global enterprises to deliver high-quality, multilingual training faster and at a greater scale than ever before.

Traditionally, translating SCORM courses has been a complex manual process, forcing L&D teams to juggle spreadsheets, vendors, and separate workflows for each asset. This approach slows the delivery of essential training, hindering global market readiness. Smartcat’s Learning Content Agent solves this challenge by unifying all translation tools and workflows into a single platform.

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The agent is the first solution on the market to automate every step involved in SCORM translation. Its key breakthrough is the ability to translate and rebuild courses without the original project, unlocking years of legacy content that was previously impossible to update. The agent handles every course asset, from text and images to video and audio, in over 280 languages, with quality assurance available from Smartcat’s marketplace of 500,000 professional linguists.

To simplify course management, learning and development (L&D) practitioners no longer need to juggle multiple files for each language. The agent achieves this by exporting a single, multilingual SCORM package that contains all languages, ready for direct upload to any Learning Management System (LMS). Ongoing updates are also simplified; a single change in the source language is automatically synced across all translated versions.

The Learning Content Agent is part of Smartcat’s broader Agentic Platform, where specialized AI Agents automate complex enterprise workflows across learning, marketing, and content operations.

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“Global enterprises can no longer afford to have employee expertise siloed by language. Our Learning Content Agent addresses this directly by transforming SCORM localization from a complex operational cost into a driver of business growth,” said Falk Gottlob, Chief Product Officer at Smartcat. “By automating the entire workflow, Smartcat enables global teams to accelerate time-to-competency, ensuring every member can perform at their best, from day one.”

Smartcat’s Learning Content Agent delivers a comprehensive suite of features designed for global enterprise L&D needs:

Full SCORM Automation: Extract, translate, review, and rebuild all assets within a SCORM package for direct publishing into any LMS.
Revive Legacy Content: Localize SCORM files without original source files or authoring tool access, enabling in-context review and repackaging.
AI‑Powered Quality and Human Expertise: Ensure consistent, compliant translations across all languages using glossaries, translation memory, and domain‑tuned AI, enhanced by in‑context review and access to professional linguists.
Multilingual Packages and Effortless Updates: Export a single multilingual file for all languages and automatically sync updates across all versions.

The agent is already delivering measurable returns on speed and cost. Companies like Smith+Nephew have already leveraged the Learning Content Agent to achieve a four times faster translation turnaround time for their highly regulated medical content, shrinking the localization workflow from an agency Service Level Agreement (SLA) of ten days to just two.

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Lytx Unveils Coach Assist: Transforming Driver Safety Coaching with Generative AI

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November 13, 2025

Lytx Unveils Coach Assist: Transforming Driver Safety Coaching with Generative AI

New AI-powered Tool Streamlines Coaching, Boosts Driver Engagement, and Sets a New Standard for Fleet Safety

Lytx Inc., the industry pioneer of video and safety-driven efficiency, announced Coach Assist, an artificial intelligence (AI)-powered coaching assistant designed to help safety coaches deliver faster, more impactful feedback to fleet drivers. Coach Assist represents Lytx’s initial implementation of generative AI within its Driver Safety Program, reflecting a continuous commitment to enhancing the efficiency, scalability, and effectiveness of safety coaching.

Coach Assist streamlines the coaching process by instantly surfacing driver strengths, areas for improvement, and peer comparisons through clear bullet points and easy-to-scan visuals. By handling the prep work, the assistant allows coaches to focus on meaningful conversations that drive real behavior change and create a safer fleet environment.

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“Coach Assist empowers our customers to deliver smarter, more consistent coaching experiences that truly resonate with drivers,” said Chris Cabrera, Chief Executive Officer at Lytx. “By leveraging AI to handle routine tasks, our safety coaches can spend more time connecting with drivers, fostering engagement, and building a safety culture that lasts. We’re excited to engage with our customers to create solutions that make a tangible difference on the roads.”

Currently available to a select group of Lytx Lab participants, Coach Assist is already helping coaches reduce session prep time by half while increasing driver engagement and retention. Lytx’s latest innovation is part of a series of initiatives aimed at automating administrative coaching tasks and integrating advanced intelligence. With these advances, Lytx continues to set the pace for responsible, impactful AI in fleet safety.

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Coach Assist and other early-stage AI innovations within Lytx Lab, including Top Risky Intersections and Roadwork Detection, are being developed in close collaboration with customers, ensuring that solutions address real-world challenges and deliver lasting value. As feedback shapes these experiments, they frequently evolve into permanent offerings that redefine fleet safety standards.

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SuccessKPI Launches Last-Mile Connectivity Solution to Ensure Uninterrupted Customer Experience

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November 12, 2025

SuccessKPI Launches Last-Mile Connectivity Solution to Ensure Uninterrupted Customer Experience

SuccessKPI, a leading provider of Generative AI-powered Workforce Engagement Management (WEM) solutions, announced the launch of its Last-Mile Connectivity solution, designed to monitor agent and network performance to deliver uninterrupted customer service agent performance.

As work-from-anywhere and hybrid contact center models become the norm, SuccessKPI’s new solution brings comprehensive visibility into the agent’s desktop, network, headset, and call environment to eliminate blind spots that can degrade customer experience.

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For example, operators can set conditions and next best actions with SuccessKPI’s Playbook Builder™, leveraging AI insights to drive human performance and compliance. Multiple conditions can be combined to take precise action on connectivity metrics such as packet loss, processing power, location, browser type, and other factors. This ensures that connectivity and other edge-related issues are detected and resolved before they disrupt live interactions, delivering consistent, high-quality experiences for both agents and customers.

“Every customer call depends on what happens at the edge — the agent’s network, device, settings and surrounding environment,” said Dave Rennyson, CEO of SuccessKPI. “With our Last-Mile Connectivity solution, contact center operators can now uncover the true cause of last-mile performance issues, act before customers are impacted, and prevent future disruptions. That level of clarity and action is critical for modern CX operations.”

Key capabilities of SuccessKPI’s Last-Mile Connectivity solution include:

Real-time event streaming of agent desktop metrics (CPU, memory, OS, browser), softphone logs, and call performance details.
Network-and-device analytics, including Wi-Fi signal strength, packet loss, headset brand/model, audio levels, and split-tunnel connectivity.
Live agent-experience metrics, such as feedback, reported issues, routing profiles, and queue details.
Actionable insights and automation for proactive troubleshooting, end-to-end visibility, and reduced mean-time-to-resolution.

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By bringing these functions together into a unified view, organizations can strengthen last-mile performance, a historically underserved dimension of agent connectivity and CX operations. SuccessKPI’s Last-Mile Connectivity solution not only detects problems before they escalate but empowers managers to automate resolution workflows and boost agent productivity and satisfaction.

As more contact centers adopt distributed models, the risk of performance issues hidden in remote edge environments increases. SuccessKPI’s solution addresses this gap head-on, delivering the transparency and control required to support modern work models and deliver premium customer service.

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Mejuri Partners with Clootrack to Power Next-Gen Voice of the Customer Insights

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November 12, 2025

Mejuri Partners with Clootrack to Power Next-Gen Voice of the Customer Insights

Mejuri, the fine-jewelry brand redefining everyday luxury, has partnered with Clootrack, the patented AI-powered customer intelligence platform, to strengthen its Voice of the Customer (VoC) capabilities and uncover real-time growth opportunities.

Founded to make fine jewelry accessible for everyday wear, Mejuri has built a global following through craftsmanship, personalization, and transparency. As the brand expands, real-time understanding of customer sentiment and intent has become essential to sustaining its distinctive experience.

Before partnering with Clootrack, Mejuri’s teams spent significant manual effort compiling insights from scattered reviews, surveys, and service data. With Clootrack’s AI-powered Voice of the Customer platform, feedback from every channel now feeds a continuous intelligence loop. AI Insight Digests deliver ranked issues, ownership, and next-best actions, aligning marketing, retail, and CX teams around one source of truth.

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“What stood out immediately was the speed and openness Clootrack brought to the partnership,” said Mary Anne Savoie, Director of Customer Success at Mejuri. “From onboarding to daily collaboration, their team has been proactive in understanding our workflows, suggesting solutions before we ask, and maintaining that same energy well beyond implementation. It feels like a true partnership built on shared goals.”

Through continuous Voice of Customer insights powered by Clootrack’s customer intelligence platform, Mejuri can detect sentiment shifts and uncover unmet demand before metrics lag. The partnership ensures faster, data-driven decisions and fosters stronger collaboration across teams, anchored around one version of customer truth.

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“In lifestyle and luxury categories, emotion and trust drive every purchase,” said Shameel Abdulla, CEO of Clootrack. “With Clootrack, Mejuri transforms customer voice into a living intelligence system, guiding brand decisions with speed, accuracy, and ownership. This is what modern VoC transformation looks like.”

The collaboration highlights a growing movement among consumer brands to go beyond listening and to operationalize the Voice of the Customer as a real-time decision engine to drive P&L. By unifying data, context, and ownership, Mejuri is setting a new benchmark for customer-centric growth in the luxury retail space.

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Quiq Advances Contact Center Quality Management with New Agentic AI Analyst

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November 12, 2025

Quiq Advances Contact Center Quality Management with New Agentic AI Analyst

Analyst Eliminates Blind Spots in Conversation Analytics, Driving Rapid CX Optimization and Operational Efficiency Gains

Quiq, the leader in enterprise-grade agentic AI for CX innovation, announced agentic AI powered Quality Management. Aptly named Conversation Analyst, this powerful agentic AI solution analyzes every AI and human agent conversation across voice, web chat, SMS, and other asynchronous messaging platforms, like Apple Messages for Business and WhatsApp. With Conversation Analyst, organizations can establish custom prompts and metrics that provide a nuanced understanding of experiences throughout the entire customer journey at unprecedented speed and scale. CX teams can leverage surfaced insights to improve experiences and operational efficiencies in near real-time, or the Conversation Analyst can be designed to take action on specific insights, like a policy violation, creating a direct path from analysis to improvement.

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“At Spirit, Quiq’s Conversation Analyst has become a critical part of how we operate,” says Vanessa Hardy-Bowen, Director of Guest Care and Contact Centers for Spirit Airlines. “It gives the team and I real-time visibility into how both our human and AI agents handle conversations, not just checking boxes on compliance, but truly identifying issues with care and empathy. What I appreciate most is how quickly it confirms real resolution and flags conversations tied to sensitive areas like consumer rights or accessibility, so we can take action before anything escalates. It’s helped us operate smarter and more proactively, and ultimately raise the standard of what great guest care should feel like.”

Conversation Analyst redefines how CX leaders measure success. Traditionally, qualitative metrics like CSAT or NPS have been self-reported, leading to incomplete, and sometimes biased datasets. With Conversation Analyst, these and other key performance indicators are now AI-generated for every interaction, supplementing or augmenting customer feedback surveys with unbiased accuracy. Insights can be viewed individually, in aggregate by agent and team, or narrowed into manageable subsets for deeper analysis in seconds, enabling leaders to understand the why behind them.

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“CX leaders have been held back by incomplete analytics and forced to guess what truly matters,” said Mike Myer, Founder and CEO of Quiq. “The Conversation Analyst lets them ‘hear’ every voice completely. This isn’t just data. It’s agentic AI that digs deep to uncover subtle but profound insights, and then turns that understanding into immediate, impactful actions that improve operations and customer experiences at every touchpoint.”

By ensuring no customer voice goes unheard and no critical insight remains undiscovered, Conversation Analyst equips organizations to proactively address pain points, personalize experiences, and continuously improve service delivery. The result is not just enhanced customer satisfaction, but also significant operational efficiencies and a stronger competitive advantage.

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MikMak Announces New MCP-Powered and AI-Driven Innovations to Help Global Brands Drive More Profitable Growth

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November 12, 2025

MikMak Announces New MCP-Powered and AI-Driven Innovations to Help Global Brands Drive More Profitable Growth

Conversational insights, agentic commerce, and new creative formats reinforce MikMak’s position as the world’s most advanced commerce enablement and analytics solution

MikMak, the leading global eCommerce enablement and analytics platform, announced a major evolution with the upcoming release of new MCP-powered and AI-driven enhancements to MikMak 3.0, including the debut of conversational insights. Together, these innovations represent a significant step forward in MikMak’s ability to serve as the single source of truth for how people and intelligent systems shop across channels, helping brands convert both human-driven and agent-driven demand in real-time.

Brand manufacturers now face two critical stakeholders in commerce: humans and AI agents. As consumers continue to navigate a complex, multi-channel purchase journey and AI agents increasingly influence those decisions, brands need a single platform that enables, measures, and optimizes both.

“most successful brands are the ones turning data into action at the speed of their consumers,” said Rachel Tipograph, Founder and CEO of MikMak. “With these advancements, MikMak is better positioned than anyone else in the market to transform invaluable commerce data into instant intelligence, helping brands understand performance in seconds and connect those insights directly to sales outcomes. This is the next chapter of profitable growth for global commerce, and there’s a lot more to come soon.”

Unlock the Future of Intelligent Agentic Commerce with MCP Capabilities

MikMak’s MCP (Model Context Protocol) capabilities give brands a direct path to agentic commerce, where AI doesn’t just analyze data but acts on it with precision, speed, and accountability. With MCP, commerce systems and AI agents can communicate using a shared standard, creating a unified framework for intelligent, real-time decision-making. MikMak amplifies this capability through its enterprise-grade Commerce and Insights APIs, which power global brands with unmatched data on shopper behavior, pricing, product availability, and performance across over 8,000 retailers.

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MikMak’s MCP capabilities transform this proven foundation into an AI-ready infrastructure that enables safe experimentation, faster optimization, and measurable business outcomes. Built with modularity and privacy by design, the platform enables brands to innovate confidently while maintaining full control over their data and decision-making frameworks. The result is accelerated execution, stronger attribution, and a new era of intelligent commerce where every AI-powered interaction drives real, profitable growth.

Transform Data into Instant Intelligence with Conversational Insights

brands have more data than ever, but less clarity on what truly drives growth. MikMak closes that gap by transforming static dashboards into dynamic, conversational insights. Built on MikMak’s enterprise-grade infrastructure and powered by more than 11 years of commerce data, MikMak’s conversational insights advancements redefine how brands engage with performance analytics.

Instead of navigating fragmented reports or static scorecards, marketers will be able to ask questions in natural language, such as “What’s driving growth?” or “Where should we invest next quarter?” and receive clear, contextual answers in seconds. The platform pairs visual analytics with narrative intelligence, automatically generating summaries, recommendations, and insights that connect performance to action.

With the upcoming launch of MikMak’s conversational insights, every marketer will be able to analyze performance in real-time, reduce time-to-insight, and make faster, more confident decisions that drive measurable growth.

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Boost Average Order Value, Promote Strategic Products, and Streamline the Path to Purchase with Upgraded MikMak Commerce Bundles

Brands can create more seamless, multi-product shopping experiences that mirror real-world buying behavior with upgraded MikMak Commerce Bundles technology. With one-click purchasing across media channels, brands can boost order value, drive conversions, and strengthen retailer partnerships.

Transform Immersive Shopping Into Instant Conversions with MikMak Creative MAX Templates

The new MikMak Creative MAX Templates for media blend immersive storytelling with a built-in “Where to Buy” overlay. This allows brands to pair full-screen hero media with instant purchasing options. Creative MAX templates drive both engagement and sales, while integrating retail partners directly into the brand experience.

Building on a Year of Industry-Leading Innovation

Throughout 2025, MikMak expanded its API-first, AI-driven platform with new capabilities, including the MikMak Insights API, the Headless Commerce API and Ad Units, and integrations with Pinterest and AccelPay. These releases established MikMak as the foundation for omnichannel shoppability, connecting upper-funnel media to measurable sales across thousands of retailers worldwide.

Looking ahead to early 2026, MikMak will continue to build out its AI-powered operating system, which learns from every commerce touchpoint. They will deepen their omnichannel attribution to combat walled gardens and expand global data partnerships to unlock richer, more actionable insights.

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Murf AI Launches Falcon, the Text-to-Speech API That Outperforms ElevenLabs with 55ms Model Latency Across 35+ Languages

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November 12, 2025

Iterable Launches Model Context Protocol (MCP) Server, Strengthening Its Dominance in AI Marketing Innovation

The World’s Fastest and Most Efficient Text-to-Speech API

Murf AI, a trusted leader in ethical, enterprise-grade voice solutions, announced the launch of Murf Falcon, the world’s fastest and most efficient text-to-speech API. Murf Falcon empowers developers, startups, and enterprises to build seamless, high-performance voice agents without compromise. Featuring an ultra-low model latency of 55ms, support for 35+ languages, data residency across 11 regions and performance that outpaces ElevenLabs, Deepgram, and Cartesia in production environments, Falcon sets a new benchmark for Text-to-Speech API.

Featuring an ultra-low model latency of 55ms, support for 35+ languages, data residency across 11 regions and performance that outpaces ElevenLabs, Deepgram, and Cartesia in production environments, Falcon sets a new benchmark for Text-to-Speech API.

“Developers often face trade-offs between responsiveness, naturalness, and cost when working with low-latency text-to-speech systems,” said Ankur Edkie, Co-founder and CEO of Murf AI. “With Murf Falcon, those tradeoffs are gone. Falcon was designed with a lightweight architecture, custom-built for voice agents. It uses a compute-efficient proprietary neural architecture that outperforms much larger systems in context awareness, while delivering the speed benefits of a smaller model. It is ultra-fast, precise and efficient.”

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Murf Falcon outperforms other text-to-speech models on:

Latency: Delivering ultra-low 55ms model latency and the fastest time-to-first-audio of 130ms across multiple geographies, Falcon shatters previous benchmarks by leveraging edge deployment across 11 geographic regions, significantly reducing network hop times.
Extensive Multilingual Support: With 35+ languages powered by Murf’s proprietary MultiNative Technology, Falcon beats alternative streaming text-to-speech APIs from ElevenLabs and Deepgram on language coverage.
MultiNative Technology: Murf Falcon offers best-in-class code-mixing capabilities, seamlessly speaking multiple languages in a single sentence for highly natural and realistic interactions.
Voice Quality: Falcon voices outperform other models on voice quality metrics. With conversational prosody that handles disfluencies effortlessly, and 99.38% pronunciation accuracy, they deliver natural, precise speech.
Cost Efficiency: Priced at 1 cent/ minute, Murf Falcon is the most cost-efficient TTS API with no trade-off on latency or quality.
Enterprise-Ready Deployment: Offers data residency in 11 geographic regions, with cloud and on-premise deployment for global compliance.

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From global e-commerce platforms enhancing multilingual customer interactions to healthcare providers scaling patient-facing virtual assistants, Murf Falcon’s text-to-speech API powers streaming, natural-sounding voice output that’s faster, smarter, and more reliable. It’s a text-to-speech API you can trust, backed by Murf AI’s commitment to data privacy, transparency, and ethical AI.

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DataCamp Extends Market Leadership With Acquisition of Optima, Creating the AI Learning Engine of the Future

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November 12, 2025

DataCamp Extends Market Leadership With Acquisition of Optima, Creating the AI Learning Engine of the Future

Optima is an AI-native learning platform and joins with DataCamp at a time of great momentum for the company, which is cashflow positive and expects to cross the $100 million ARR milestone in 2026.

DataCamp, the leading online learning platform for data and AI skill building, announced that it has completed the acquisition of Dubai-based Optima, an AI-native learning platform for building data and AI skills. Optima founder and CEO Yusuf Saber will join DataCamp as Chief AI Officer, with the rest of the company’s employees joining DataCamp as part of the deal. Saber will lead DataCamp’s global AI operations from the UAE.

DataCamp’s acquisition of Optima accelerates its market leadership at a time of considerable momentum for the company. DataCamp is cashflow positive and expects to cross $100 million in annualized recurring revenue before the end of 2026.

Optima’s AI-native learning experience adjusts itself in real time, tailoring how it paces a lesson, explains concepts and gives feedback to each learner’s individual profile. Its platform is used by leading Middle Eastern tech brands such as Talabat and Careem. It helps these companies keep one step ahead of the extraordinary pace of the AI evolution and the rapidly evolving data demands on workforce.

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Optima technology is already powering key curriculum in the DataCamp platform, and premium subscribers can opt for the AI-native experience in many of the company’s top courses. Optima’s technology will be integrated across more of the platform over the next six months, further supercharging DataCamp’s existing library and net new curriculum.

“Optima was built to embed intelligence directly into the learning experience, so we can intuitively adjust each lesson to who a learner is and what they already know. From our first conversation with the DataCamp team, it was clear how much our visions aligned,” said Yusuf Saber, founder and CEO of Optima. ”By bringing Optima’s AI-native learning experience into DataCamp’s global platform, I think we have the opportunity to set a new standard for how people learn online.”

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The exploding field of AI requires that companies constantly invest in upskilling their employees. DataCamp has established itself as a leader in the market by providing an engaging, modern learning experience that covers both general concepts and hands-on instruction in building with new AI tools. The acquisition of Optima makes DataCamp even more indispensable for large enterprises looking to future-proof their workforces.

DataCamp’s acquisition of Optima accelerates its market leadership at a time of considerable momentum for the company. DataCamp is cashflow positive and expects to cross $100 million in annualized recurring revenue before the end of 2026. It has 18 million learners on its platform, with employees from 80 percent of the Fortune 1000 represented among its learner base. It has a booming B2B business with 6,000 customers, currently growing at close to 30% year-over-year, serving some of the largest names in technology (Google, Uber), finance (including the top four largest US banks), retail and manufacturing (Nike, Stanley, Black & Decker, Rolls-Royce), and the pharmaceutical industry (Roche, Pfizer), among many others.

“DataCamp is turning the page on an era of online learning defined by static and generic content,” said Jonathan Cornelissen, co-founder and CEO of DataCamp. “The field of data and AI is evolving faster than ever, and DataCamp is focusing on dynamic, human-centered learning to help people and organizations thrive amid upheaval. With the Optima team now part of DataCamp, we’ve never been better placed to redefine how organizations move their people along the learning curve.”

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Cyware Introduces Agentic AI Workflows to Strengthen its Cyware Quarterback AI

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November 12, 2025

Cyware Introduces Agentic AI Workflows to Strengthen its Cyware Quarterback AI

Connected layer of Generative, Agentic and In-Product capabilities create an AI Fabric to bolster threat intelligence and security operations use cases

Cyware, the leader in AI-powered threat intelligence management, secure threat sharing and collaboration, as well as hyper-orchestration and security automation, announced the launch of a new Cyware Quarterback AI solution delivering an AI Fabric to uniquely address security use cases.

“Paramount to Cyware’s direction is our customers’ success, and we are excited to be able to ease the practitioner’s day-to-day operations and accelerate their workflows with an AI Fabric approach,” said Sachin Jade, CPO of Cyware.

Cyware Quarterback AI was initially launched as a Co-pilot chat assistant in March 2024. Since that first release the AI market has evolved significantly and Cyware’s AI strategy and innovation has evolved as well. In July of this year, Cyware MCP Server was released. Now, Cyware Quarterback AI receives a major upgrade, described as an AI Fabric that weaves together a set of Generative, Agentic and In-Product AI capabilities designed to accelerate threat intelligence and security operations workflows. Built to augment security workflows, these capabilities apply various AI methods to drive unified threat intelligence, accelerating threat intel operationalization, simplifying security automation, and enhancing analyst productivity and efficiency.

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“Paramount to Cyware’s direction is our customers’ success, and we are excited to be able to ease the practitioner’s day-to-day operations and accelerate their workflows with an AI Fabric approach,” said Sachin Jade, CPO of Cyware. “Our latest innovations in Cyware Quarterback AI tackle complex playbook creation, manual threat data collection, disconnected threat context, and delayed threat detection and response with the best AI methods available.”

As AI continues to reshape cybersecurity, its adoption brings both excitement and hesitation. In working with some of the largest threat intelligence and security operations teams, Cyware has identified where AI delivers tangible value and through its AI Fabric has embedded AI in workflows driving practical outcomes. “The advancements in AI this year have made it clear that agentic AI and its real-world application are the future of cybersecurity. We will continue to invest in that direction so our customers can respond faster, act smarter, and stay ahead of emerging threats,” said Akshat Jain, co-founder and CTO of Cyware.

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Cyware’s AI Fabric Capabilities

The AI Fabric approach evolves Cyware’s unified threat intelligence management by embedding AI into security products and workflows. Unlike many AI add-ons that sit outside core operations, this integrated design brings intelligence to every stage of the threat intelligence lifecycle, from ingestion to action, helping analysts move faster and security teams scale more effectively. Key Cyware Quarterback AI features include:

Playbook Builder Agent: AI agent that simplifies playbook creation for analysts through an intuitive, LLM-assisted interface that generates workflows from natural language descriptions.
Custom Code Generator: AI agent that automatically generates custom code blocks for playbooks from natural language prompts, eliminating the need for advanced coding expertise.
Playbook Runlog Debugger: AI agent that assists in debugging failed playbook run logs by identifying root causes and providing step-by-step remediation guidance, simplifying and accelerating troubleshooting by analysts.
Threat Summarization: Generates instant summaries of threat intelligence reports and related objects (e.g., IOCs, malware), helping analysts cut through lengthy descriptions and avoid alert fatigue.
Advanced Threat Intel Crawler (Browser Plugin): Transforms threat intelligence from websites into structured, enriched data in real time, saving analysts time from manual scraping of threat data.

The collective capabilities expand Cyware Quarterback AI’s footprint driving AI-powered security operations where automation and intelligence work hand-in-hand to support security teams at every stage.

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Nextdoor Introduces AI-Driven Ad Performance Optimization and New Video Ad Formats

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November 12, 2025

Nextdoor Introduces AI-Driven Ad Performance Optimization and New Video Ad Formats

Improvements to Nextdoor Ads Manager continue to position Nextdoor as an indispensable platform to reach hyper local audiences at scale with maximized efficiency

Nextdoor Holdings, Inc. , the essential neighborhood network, announced AI-powered ad optimizations, new video formats, and the piloting of new locally personalized advertisements available through its advertising platform, Nextdoor Advertising Manager (NAM), to maximize the power of Nextdoor’s hyperlocal advertising.

Advertisers come to Nextdoor to reach real people who are ready to take action right where they live. This suite of new advertising innovations is designed to make it easier for brands to reach 100M+ high-intent, neighbors across 345,000 neighborhoods with more relevance, efficiency, and impact. Advertisers can now deliver smarter, more engaging creative across the Nextdoor platform.

“Advertisers don’t just want scale – they want intent and impact. Our latest innovations are reshaping the way brands connect with over 100 million neighbors by making every impression more relevant and every campaign more efficient,” said Michael Kiernan, Chief Revenue Officer at Nextdoor. “From weather-triggered messaging to AI-driven optimization, we’re giving marketers the precision they need to turn hyperlocal advertising into tangible business results.”

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New advertising solutions on Nextdoor Advertising Manager include:

Click Optimization/Conversion Optimization Powered by AI: Advertisers can now tap into smarter advertising with AI and Machine Learning innovations within click and conversion optimization, introducing cutting-edge features designed to optimize performance across the entire marketing funnel.
- Click optimization (US only): improves campaign engagement by automatically optimizing for higher click-through rates. In testing over 11 months during 2024-2025, advertisers have already seen an average CTR lift of 134% when comparing it to CPM bidding.
- Conversion optimization (US only): drives better results by optimizing campaigns toward conversions. In initial testing during the same period, conversion optimization advertisers had a median 35% improvement in average CPA.
- AI targeting and delivery recommendations (Piloting in all markets – US/CA/UK): provided during setup and post-delivery, this feature leverages personalized business and industry insights to improve setup and campaign performance.
- AI-powered image and copy generation (Piloting in all markets – US/CA/UK): powered by ChatGPT and 3M+ photos from Pexels’ global community of photographers (all with commercial-friendly licensing), this enables advertisers to instantly generate relevant copy and engaging creative assets, making it faster and easier to build high-quality ads.
Expanded Video Formats Globally (All markets – US/CA/UK): New, flexible video ad formats make it richer to activate and distribute video campaigns across Nextdoor. Videos can now be utilized within Carousel ad formats, featuring deeper reporting into individual card performance (impressions, clicks, and click-through rates, and a new industry-standard “Engagement” metric). Advertisers can now capture attention with sight, sound, and motion in more placements, driving deeper engagement with verified neighbors.

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Currently piloting the following personalized advertising formats:

Geo-Personalization Extended to Image Ads (US only): In addition to the use of dynamic city and neighborhood names in ad copy, brands can now elect to automatically plug-in neighborhood or city names directly in their images, Spotlight ad creatives, and in-feed ads on Nextdoor to drive increased local relevance at the neighborhood level across the country. Geo-personalization allows advertisers to connect with neighbors in contextually relevant, hyper-local ways, with advertisers already seeing geo-personalization drive increased engagement in ad copy.
Weather Targeting (US only): contextual weather targeting to reach neighbors with more relevance allows advertisers to provide the right message at the most relevant time, enabling brands to align campaigns with local, real-time conditions. With three new options for temperature-based targeting (Cold: 40-50F / Moderate: 50-80F / Hot: 80-100F), selecting these will target your ads (ex. promoting hot beverages during cold temperatures) to neighbors whose locations fall into these temperature ranges.

These innovations deliver a powerful dual value proposition: advertisers gain enhanced efficiency, creative flexibility, and superior results with neighborhood-level precision, while neighbors experience more useful, relevant ads that reflect their everyday local context. By combining Nextdoor’s unique neighborhood-level trust and engagement with advanced AI capabilities, these solutions transform local relevance into measurable business impact, directly addressing advertiser demands for richer storytelling formats, contextual real-time relevance, and AI-powered efficiency at scale.

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Ecer’s Senior VP Alex Chen Unveils AI-Powered, Mobile-First Strategy for Global B2B Marketplaces

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November 12, 2025

Ecer's Senior VP Alex Chen Unveils AI-Powered, Mobile-First Strategy for Global B2B Marketplaces

Mobile-First: Building Seamless Global Trade Scenarios

During the interview, Mr. Alex Chen highlighted the core position of the mobile strategy in Ecer.com’s development blueprint. He emphasized that with the rapid advancement of the global mobile internet and profound shifts in user habits, “Mobile-First” is no longer optional but a necessity. Ecer.com has proactively embraced this trend, continuously increasing investment in mobile product development and user experience optimization.

“Our goal is to build a 24/7, seamless trade scenario for global buyers and Chinese suppliers,” stated Alex Chen. “We have enhanced mobile-end search and matching efficiency, instant communication features, and the VR Cloud Factory Inspection management system, making international trade negotiations as convenient and efficient as daily social interactions.”

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A testimony to this success came from Mr. Zhang, General Manager of Shanghai Shenghua Cable (Group) Co., Ltd.: “It was unimaginable in the past that a single mobile phone could connect us with global customers. Through Ecer.com’s mobile marketplace, we’ve achieved instant video communication with clients in Europe and the US, significantly boosting our order processing efficiency and completely transforming traditional business models. The ubiquity of mobile technology has broken through the time and space limitations of traditional offices, enabling a truly ‘ever-running negotiation fair’.”

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AI Empowerment: Driving Precision Matching and Smart Service Upgrade

Turning to the hottest topic in the tech sector, Artificial Intelligence, Mr. Chen elaborated, “AI is reshaping the operational model of B2B cross-border trade.” At Ecer.com, AI technology has been deeply integrated into several critical areas:

Intelligent Recommendation and Search: Utilizing advanced algorithms, the platform can more accurately understand the true needs of buyers, achieving intelligent matching between suppliers and products, and significantly increasing the conversion rate.
Supply Chain Optimization: AI models analyze massive trade data to predict market trends, assisting buyers in optimizing their procurement decisions.
Smart Inquiry System: Intelligent online customer service provides 7×24 hour response to global users’ inquiries and common questions, freeing up human resources to focus on more complex customer needs and relationship maintenance, thereby reducing costs and improving efficiency.

Mr. Chen emphasized that Ecer.com’s AI strategy is practical and business-scenario driven. Its ultimate goal is to “let technology be invisible behind the experience,” ensuring users feel a simpler, smarter, and more reliable service.

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Appian Launches New AI Capabilities To Automate Complex Work & Accelerate App Modernisation

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November 12, 2025

Appian Launches New AI Capabilities To Automate Complex Work & Accelerate App Modernisation

Proven in successful customer trials, new platform capabilities embed powerful agents into processes and empower business users to modernise legacy apps with ease.

Appian, a leader in AI-powered process automation, announced platform enhancements that embed powerful AI agents directly into enterprise processes. The latest Appian Platform release delivers practical, measurable value by making AI more than just an assistant.

Agents directly embedded in business processes
Agent Studio allows organisations to deploy Appian’s most powerful AI agents yet at scale. These agents can reason, handle unexpected conditions, and act on enterprise data to automate complex work. Appian agents are powerful because they inherit critical platform properties like complete data access, process context and guardrails. With Agent Studio, business users can use natural language to define high-level goals. Then, AI agents use Appian’s data fabric and tools to determine the most effective path forward. With a complete view of enterprise data, agents make smarter decisions, interpret unstructured data from varied sources, and make real-time adjustments. Appian agents are embedded into process, enabling easy governance and auditability of agent behaviour.

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Agent Studio is now generally available. Following its preview at Appian World in April 2025, customer interest was overwhelming. Early users validated Agent Studio’s enterprise readiness and ease of use in a market challenged with failed agent projects. One hundred percent of beta programme participants found Agent Studio ‘intuitive or very intuitive.’

“Appian continues to be more than a technology partner; it’s an innovation ally. Agent Studio demonstrates how AI and low-code can combine to extend human capacity in ways that matter most: reaching families faster, reducing administrative friction, and enabling clinicians to focus on what they do best—care,” said Ryan Cox, Co-founder and VP, Acclaim Autism. “Agent Studio bridges the gap between business users and software engineers. By uploading our existing processes into the agent’s knowledge set, we quickly achieved reliable clinician-patient matches—a powerful result from a simple setup.”

AI-powered application modernisation: from idea to app in minutes
Appian Composer is now generally available, and more than 130 organisations have already built over 1,300 applications using the tool. Composer transforms how organisations modernise applications, allowing users with any level of development expertise to turn ideas into working applications fast with an AI-guided experience. Composer builds an interactive plan for the user stories, data, processes and user experiences for the application. Composer gives business, IT, and AI a collaborative workspace to work together to plan and design the application. Then, with a click of a button, you can generate your application ready to be further tailored to business needs.

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Data Fabric enhancements
Appian’s industry-leading data fabric can now handle up to 50 million rows with 5x faster write throughput. Data Fabric supports enhanced information security compliance via transparent data encryption.

“Many organisations deployed ineffective and expensive, stand-alone AI chatbots in their back-office operations teams,” said Michael Beckley, CTO, Appian. “Research from MIT shows that approach fails 95% of the time because AI on its own is easily confused by different data contexts. Appian takes a fundamentally different path. We embed specialised AI Agents directly inside operations workflows where they deliver reliable results at massive scale, enabling real-world outcomes, like accurately processing tens of millions insurance quotes per year for one customer.”

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Allison Worldwide Appoints Katie Huang Shin as Head of Technology

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November 12, 2025