The update builds on Sonilo’s mission to help creators generate original music directly from their footage in seconds, without text prompts, stock libraries or copyright risk.
Sonilo, the world’s first professionally licensed video-to-music AI platform, has released V1.1, an update that makes its AI-generated soundtracks fit video more precisely than ever.
The update sharpens the proprietary model’s ability to read a video’s structure and emotional arc, producing soundtracks that track the edit more closely and sound more polished as a result.
“With V1.1, we are improving how our model understands the rhythm, structure and emotion of a video, so the soundtrack can feel like it was made for the footage from the beginning,” said Shawn Song, CEO of Sonilo.
Since launching in April, Sonilo has built a following among filmmakers by removing the two biggest friction points in scoring a video: searching stock libraries and manually syncing music to the edit. The platform analyzes the pacing, mood and structure of the footage and generates an original soundtrack to fit automatically.
Each upload returns three soundtrack options for the same clip, letting users compare styles and choose what works best for their edit. Generation happens in real time, so creators can begin previewing audio before the full track has rendered. The music matches the exact video length automatically, with no prompt-writing or genre searching required.
While most AI music tools are trained on unlicensed content, Sonilo is built on professionally licensed catalogs. Artists are compensated for the work that trains the model, and every soundtrack the platform generates is cleared for commercial use.
“Adding music to a video used to mean choosing between speed, fit and legal clarity, and usually sacrificing at least one,” Song said. “Sonilo removes that choice entirely. Upload your footage, and you get an original, licensed soundtrack that fits in seconds.”
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TapClicks, the leader in Smart Marketing solutions, today announced the availability of two new AI-driven capabilities designed to help marketing teams transform data into insights faster: AI Dashboard Creation and SmartSlides Slide-by-Slide Generation.
Available immediately as part of the SmartSuite package, both enhancements further the TapClicks mission of helping organizations reduce the time and effort required to analyze performance, communicate results, and make informed marketing decisions.
Marketing teams today face an increasingly complex challenge: vast amounts of data spread across channels, campaigns, and stakeholders. While access to data has improved, turning that information into meaningful insights often remains a manual and time-consuming process. TapClicks addresses that challenge by introducing AI-powered capabilities to simplify dashboard creation and provide greater control over AI-generated presentations.
AI Dashboard Creation
Following on the earlier release of AI widget creation, AI Dashboard Creation enables users to generate fully configured dashboards from just a few inputs. Rather than manually selecting widgets, configuring visualizations, and arranging layouts, users can leverage AI to perform much of the setup process automatically.
The result is a dramatically faster path from connected data to actionable insights, allowing analysts and marketers to spend less time building dashboards and more time interpreting performance.
SmartSlides Slide-by-Slide Generation
TapClicks has also enhanced SmartSlides with a new Slide-by-Slide Generation experience.
Previously, users configured their data sources and prompts before generating a completed presentation. With the new capability, users are now presented with an intermediate review and editing stage that allows them to inspect, refine, and adjust individual slides before final presentation generation.
The enhancement provides greater transparency, flexibility, and control while preserving the speed and efficiency of AI-assisted presentation creation.
Expanding the Role of AI in Marketing Intelligence
“Organizations are under increasing pressure to move faster without sacrificing insight quality,” said Babak Hedayati, CEO of TapClicks. “These new capabilities help marketers spend less time building dashboards and presentations and more time understanding performance, communicating results, and taking action. Our goal is to continue to remove the friction between data and decision-making, and these enhancements represent another huge step in that direction.”
TapClicks’ growing portfolio of AI-powered capabilities is designed to help marketing teams automate reporting, surface insights, improve operational efficiencies and lower costs across the marketing lifecycle.
AI Dashboard Creation and SmartSlides Slide-by-Slide Generation are immediately available as part of the TapClicks SmartSuite package. For more information, see www.tapclicks.com.
Other features now available in the June 2026 release include:
● Smart formatting for dashboard executive summaries.
● Smart layout suggestions for Report Studio.
● Advanced layout controls for Report Studio.
● Change data source and data view, after saving a widget.
● Drag and drop widgets, directly onto dashboard sections.
● Pivot table widget, a new advanced tabular analysis capability.
● Auto-activate Executive Summary when content is added.
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CiteLens helps brands measure and improve how often ChatGPT, Claude, Perplexity, and Google AI Overviews cite and recommend them in generated answers.
As consumers increasingly turn to AI assistants instead of traditional search engines to discover products and services, a new question is reshaping digital marketing: when someone asks ChatGPT, Claude, Perplexity, or Google AI Overviews for a recommendation, does your brand get mentioned at all? CiteLens, a Generative Engine Optimization (GEO) intelligence platform, today announced the general availability of its software designed to answer exactly that question.
Generative Engine Optimization, or GEO, is the practice of improving how often and how favorably a brand is cited inside AI-generated answers. Unlike traditional SEO, which focuses on ranking blue links on a results page, GEO focuses on the sources large language models actually read and quote when they compose an answer. Because AI assistants synthesize responses from a handful of trusted sources rather than presenting a list of links, a brand can rank well in classic search yet remain completely invisible in AI answers.
CiteLens addresses this gap directly. The platform runs the real questions a brand’s customers ask across multiple AI engines, captures the exact answers those engines generate, and identifies which websites were cited as sources. From there, it shows a brand its AI Visibility Score, its share of voice against competitors, the sentiment of how it is described, and the specific source pages it needs to earn presence on so that AI systems begin naming it too.
“Marketing teams keep asking how they can find out whether ChatGPT is recommending their brand to potential customers, and whether there is a reliable way to monitor brand mentions across AI search engines,” said a CiteLens spokesperson. “GEO is fundamentally different from regular SEO, and most companies have no visibility into it. CiteLens gives them a clear, prioritized picture of where they stand and exactly what to do next.”
Key capabilities of the platform include cross-engine visibility tracking across ChatGPT, Claude, Perplexity, Google AI Mode, and Google AI Overviews; competitor share-of-voice comparison; source influence analysis that reveals which domains feed AI answers in a category; brand perception analysis that distills how AI describes a brand; and a prioritized recommendations engine that turns findings into concrete next steps.
For marketing leaders who need to report to executives, CiteLens produces a clear view of how a brand performs in AI search compared with its top competitors, helping teams understand which AI answer engines they should be optimizing for beyond Google in 2026.
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Official Microsoft connector brings CB Insights’ trusted intelligence on private companies directly into AI-powered enterprise workflows.
CB Insights, the leader in predictive intelligence on private companies, today announced the availability of its trusted data and insights through Microsoft 365 Copilot Chat, Researcher agent, Copilot in Excel and Copilot Cowork. Available as an official Microsoft connector powered by Model Context Protocol, or MCP, the integration brings CB Insights’ trusted intelligence on private companies directly into AI-powered enterprise workflows, helping clients move faster from market monitoring and company sourcing to strategy, investment, partnership, and deal decisions.
“Making CB Insights available in Microsoft 365 Copilot and Copilot in Excel is an important step in our strategy to bring trusted private market intelligence directly into the workflows our clients use every day,” said Karl Kong, CEO at CB Insights. “With this connector, clients can ask questions in natural language, retrieve CB Insights data live at query time, and bring relevant company and market intelligence into Excel without switching tools or stitching together data from multiple systems.”
Through a single, governed interface, the CB Insights MCP connector brings CB Insights’ proprietary intelligence, including private company data, market maps, emerging technology trends, funding and deal activity, investor insights, competitive intelligence, and analyst research into Copilot. Because the connector queries CB Insights when a request is made, responses can reflect the latest available data, helping teams work with current market signals directly in the Microsoft tools where analysis, modeling, and decision-making already happen.
“Our collaboration with CB Insights shows how Microsoft is bringing high-value, domain-specific intelligence directly into the flow of work,” said Brian Jones, Vice President, Microsoft Excel. “By integrating CB Insights’ trusted private market intelligence into Microsoft 365 Copilot and Copilot in Excel, we are helping customers accelerate analysis, uncover opportunities, and move more quickly from insight to action.”
In Copilot, users can now connect to CB Insights with their provider credentials and turn the CB Insights source on. From there, when a prompt specifies CB Insights or references relevant private market data — such as companies, investors, funding activity, market landscapes, or emerging technologies — Copilot can retrieve the appropriate CB Insights data, which is vetted, verified and structured for LLM consumption, and seamlessly incorporate it into an AI response or an Excel sheet.
The connector enables teams to use Microsoft 365 Copilot to ask questions about companies, markets, technologies, investors, competitors, and emerging trends, and to bring relevant CB Insights data into Copilot in Excel for deeper analysis, modeling, reporting, and collaboration. Clients can accelerate workflows such as market landscape analysis, company screening, competitive monitoring, innovation scouting, partner identification, and investment research from within the Microsoft tools they already use.
“Private market intelligence is most valuable when it is available at the moment decisions are being made,” added Kong. “By integrating CB Insights with Microsoft 365 Copilot and Copilot in Excel, clients can put trusted market signals, company data, and research into the hands of more teams, faster.”
CB Insights for Microsoft 365 Copilot and Copilot in Excel is available through a Bring Your Own License model, with customers licensing CB Insights directly. To learn more about the CB Insights Microsoft 365 Copilot and Copilot in Excel connector.
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Selected companies will receive free access to Aimee in exchange for real-world feedback as REBL Labs expands adoption of its AI-powered content system
**REBL Labs Opens Early Access to Aimee, Its AI Content Writer Built for SEO, AI Visibility, and Content Performance**
**Selected companies will receive free access to Aimee in exchange for real-world feedback as REBL Labs expands adoption of its AI-powered content system**
REBL Labs has officially opened early access to **Aimee**, its AI content writer designed to help companies create blog content that does more than fill a publishing calendar. Built to support Google rankings, AI discoverability, and qualified inbound traffic, Aimee is now being offered to a limited number of companies for free as part of a feedback-driven rollout.
For one client, Aimee contributed to more than $530,000 in long-term pipeline value and delivered 880% ROI, reinforcing REBL Labs’ belief that content systems should be measured by outcomes.”
— Rebecca “REBL” Risty
Aimee was developed to solve a growing problem for marketing teams: content production is getting heavier, expectations are getting higher, and traditional workflows are too slow, too manual, and too hard to scale. Teams are being asked to create more content, improve search visibility, adapt to AI-driven discovery, and prove business impact, often without adding more people or more time.
More than a writing tool, Aimee is designed to support a smarter content workflow. The system helps teams produce blog content built for search visibility, surface opportunities for AI mentions and discoverability, reduce the rewrite burden, and create a more efficient path from content production to business value.
REBL Labs is now inviting a limited number of companies to use Aimee for free and provide feedback as part of its early access round.
“We didn’t build Aimee to be another AI writing tool in a crowded market,” said Rebecca “REBL” Risty, Founder of REBL Labs. “We built Aimee to help companies create content that performs, content that can rank, get discovered in AI-driven search, and support real growth. Opening early access gives us the opportunity to put Aimee in more real-world workflows, gather meaningful feedback, and make the system even stronger.”
The early access announcement comes with meaningful proof behind it. In one case study, Aimee-supported content contributed to more than **$530,000 in long-term pipeline value** and delivered an **880% ROI**, reinforcing REBL Labs’ belief that content systems should be measured by outcomes, not just output.
The company says this early access round is meant for organizations that are actively investing in content, care about visibility across both search and AI platforms, and want a more scalable approach to content production.
Interested companies can contact REBL Labs directly to be considered for one of the limited early access spots.
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Developed by Proof with contributors across payments, identity and AI, x401 lets any online service request proof of who authorized an agent’s actions. Live demos and a CLI are available today.
AI agents can now buy, sign, build, publish and move money. What they can’t carry is proof of who authorized the agent.
Every company is racing to open its products to AI. The hard part isn’t getting agents to act; it’s trusting that a real person authorized them. Without that, a service has no safe way to let an agent through.
Today, Proof, the identity authorization company, launched x401, an open, issuer-neutral protocol that lets any website or API ask for and verify the identity behind agents.
With x401, a service can ask for the proof it requires: verified identity, age, membership, organizational affiliation, signing authority, proof of humanness, orf another trusted claim. The agent presents a compatible credential and authorization. The service verifies the issuer, claim, scope and action before proceeding.
Identity establishes who or what an agent represents. Authorization establishes what it is permitted to do. x401 binds the two into proof and unlocks agents’ ability to act on people’s behalf.
Open by design x401 is an open protocol allowing any conforming issuer to deliver x401-compatible credentials. Any agent can present them. Every service determines which claims, issuers and levels of assurance it will accept.
That separation allows one protocol to support many forms of authority without forcing the internet to adopt a single identity provider or credential model.
x401 was developed by Proof with technical contributors from leading payments, identity and AI organizations. The public specification, implementation materials, and complete contributor list are available at x401.id.
Proof will submit x401 to the FIDO Alliance’s agentic authentication standards workgroup.
Built to complete the agent stack x401 is designed to work with the protocols already emerging around agentic activity. In payments, x402 enables machines to make payments. AP2 and Verifiable Intent capture instructions and approvals in commerce. x401 now completes the missing link, when used together with these other protocols, agents can now pay, prove a person’s identity, and authorize specific actions.
“x402 is the open standard that lets agents pay for web resources over HTTP with pay-per-request settled in stablecoins, with no accounts or API keys. Through Circle Agent Stack and USDC, which settles nearly all x402 volumes, Circle has been one of its core contributors. x401, built with Proof, pairs that with identity: x402 answers how an agent pays, x401 answers who it is. Those are the first two questions any agentic transaction has to clear, and now each has an open standard. Circle is proud to be an early adopter and co-endorser of x401.” — Gagan Mac, VP Product, Circle
Proof’s digital identity: A high-assurance identity that can sign Proof is launching the first live implementation that can satisfy an x401 challenge. Proof’s digital identity is one of the first inline implementations of OID4VC Issuance and Presentation, allowing people to verify their identity to an IAL2 standard and enroll just-in-time or instantly reauthenticate with a biometric. Developers simply request identity and Proof manages the complexity of who is enrolled vs not.
Using selective disclosure and zero-knowledge proofs, someone can prove that they are verified, their nationality, over a required age or authorized to represent an organization without exposing their complete identity record.
In addition to credential presentation, Proof’s platform is the first to support transaction signing, which produces verifiable records. The API supports signing authorizations like AP2 with Verifiable Intent and cryptographically binds a verified identity to any payment, transaction, or payload. Verifiable records prove who you are and what you’ve authorized, creating the evidence that every industry requires in the agentic era. U.S. law has recognized agreements made by electronic agents for decades. Proof provides what’s been missing: trustworthy proof of the person behind the transaction.
Proof’s digital identity is backed by Proof’s Kantara-certified NIST IAL2 identity service and WebTrust-audited certificate-authority infrastructure. As a Certificate Authority that pairs a publicly trusted, audited certificate hierarchy with IAL2-grade identity proofing, Proof’s digital identity is the only legal credential that can secure everything a person signs, does in person, does online, or delegates to an agent.
x401 works end-to-end today The documentation for x401 is live today. The public specification, technical documentation, sample apps, and contributor list are available at x401.id.
Proof Digital ID documentation is available at dev.proof.com. Developers can connect Proof’s live x401 MCP server to Claude and ChatGPT to use x401 in real agent workflows. Participating organizations will announce their implementations as they become available.
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Partnership helps enterprise technology vendors capture trusted customer video reviews as buyers increasingly seek authentic practitioner insight
PeerSpot, the trusted platform for enterprise technology reviews and customer expertise, today announced a partnership with iShoot.direct to expand PeerVideos, PeerSpot’s premium customer video review offering.
The partnership combines PeerSpot’s community of verified technology practitioners with iShoot.direct’s enterprise video production expertise, making it easier for technology vendors to capture and share authentic customer experiences through professionally produced video interviews.
As AI-generated content becomes increasingly common across digital channels, buyers are placing greater value on real-world experiences shared by practitioners who have implemented, managed, and evaluated technology solutions firsthand. The expanded PeerVideos program helps vendors scale trusted customer expertise while maintaining the credibility, transparency, and depth of insight that technology buyers expect.
“Technology buyers increasingly want to hear directly from practitioners who have real-world experience with the products they’re evaluating,” said Russell Rothstein, Founder and CEO of PeerSpot. “PeerVideos helps vendors amplify the voice of their customers in a format that is engaging, credible, and increasingly important in both buyer research and AI-driven discovery. Our partnership with iShoot.direct allows us to scale that offering while maintaining the quality and trust that define the PeerSpot community.”
PeerVideos enables vendors to capture customer stories through both remote and on-site video interviews. The program is designed to respect the limited time of participating executives while producing high-quality content that can be used across websites, sales enablement programs, customer advocacy initiatives, marketplaces, executive presentations, and AI-powered discovery experiences.
“The organizations that stand out today are the ones that can demonstrate real customer outcomes and authentic customer advocacy,” said Daniel Milikow, CEO of iShoot.direct. “Together with PeerSpot, we’re helping technology companies capture customer expertise in a format that is professional, scalable, and trusted by buyers.”
The partnership reflects the growing importance of customer-generated expertise in enterprise technology buying decisions. As answer engines and large language models increasingly surface and summarize customer perspectives, authentic practitioner insight has become one of the most influential forms of content in the buying journey.
PeerVideos is available through PeerSpot and supports customer advocacy programs, review initiatives, executive storytelling, marketplace programs, thought leadership, and sales enablement efforts.
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The joint workflow streamlines how organizations manage and submit editorial imagery, reducing the time between capture and commercial availability
PhotoShelter, a leading digital asset management (DAM) platform for brands, today announced a new integration with Getty Images that enables sports and higher education organizations to move content from capture to global licensing in real time.
The joint workflow streamlines how organizations manage and submit editorial imagery, reducing the time between capture and commercial availability. By connecting PhotoShelter’s centralized content management and real-time workflow platform with Getty Images’ global distribution infrastructure, contributors can deliver rights-cleared content directly into the licensing ecosystem—unlocking faster monetization of live event coverage at global scale. It also enables increased licensing opportunities for existing content archives.
“Great content moves fast, and the organizations behind it need technology that keeps up,” said Andrew Fingerman, CEO of PhotoShelter. “Many of the organizations we serve already rely on both PhotoShelter and Getty Images as part of their visual content strategy. Working together helps content production teams spend less time managing logistics and more time bringing great stories to the world, all while unlocking additional revenue opportunities.”
The integration is designed to support professional sports teams, leagues, governing bodies, and college athletics departments with high-volume content production environments where speed and accuracy are critical. From regular-season games and everyday campus life to playoffs, championships, ceremonies, and more, this process transforms the way institutions and organizations produce and monetize their imagery quickly, consistently, and with confidence.
Getty Images’ SVP of Global Strategic Partnerships Peter Orlowsky said, “This integration strengthens the connection between content creation and global distribution. It enables contributors to deliver high-quality, rights-ready imagery into the Getty Images marketplace more quickly, increasing the availability and commercial potential of their content at scale.”
The joint workflow is available to approved Getty Images contributors using PhotoShelter, with capabilities including:
Real-time content uploads during live events in PhotoShelter for Brands
AI-powered tagging that identifies people, players, logos, and objects
Metadata templates designed to meet Getty Images submission requirements
Direct FTP delivery to Getty Images using contributor credentials
Increased licensing opportunities on Getty Images’ global distribution platform for content that already exists within the organization’s archive.
This initial launch focuses on higher education and sports organizations, and over time, will unlock other opportunities with arts, entertainment, and media organizations. Learn more here.
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Reseller agreement brings Claude, powered by Anthropic, to Hexaware’s enterprise clients, accelerating the deployment of safe, high-performance AI at scale
Hexaware Technologies, a global provider of IT solutions and services, announced that it has been named an Anthropic Authorized Reseller for Amazon Bedrock, joining a select group of companies worldwide authorized to resell Claude. Under the agreement, Hexaware can sell, integrate, and support Claude models—directly to enterprise clients worldwide—deepening Hexaware’s commitment to delivering transformative, responsible AI solutions.
By bringing Claude directly to its clients, Hexaware is reinforcing its AI-first strategy and positioning itself to support the entire AI lifecycle, from model access and customization to implementation and managed services. Developed by Anthropic with a strong focus on safety and reliability, Claude is built for enterprise use. Its advanced AI methodology and context window make it well-suited for complex, high-stakes applications across industries such as financial services, healthcare, transportation, manufacturing, and retail—areas where Hexaware has deep domain expertise and a global delivery presence.
“This authorization reflects the Foundational AI capability that we’ve built and the trust our clients have placed in us. Claude’s safety-first design is what highly regulated industries need—and Hexaware has the domain knowledge, engineering excellence, and delivery scale to take it from a model to a working solution,” said Siddharth Dhar, President & Global Head – Digital IT Operations & AI, Hexaware.
What This Means for Hexaware Customers
Hexaware’s Anthropic Authorized Reseller for Amazon Bedrock status translates into immediate, tangible advantages for enterprise customers:
Direct access to Claude models: Simplified, enterprise-grade access to Claude models, reducing procurement friction and speeding time-to-value
End-to-end AI delivery: Global Hexaware team combining Claude with industry solutions, integration services, and change management, delivering fully operational AI
Built-in responsible AI: Anthropic’s safety-first models paired with Hexaware’s governance for secure deployment in regulated and critical environments
Scalable customization: Tailored deployments (RAG, custom prompts, domain tuning) to maximize relevance and performance
Unified engagement: Single commercial framework with consolidated billing, SLA-backed support, and clear accountability
Faster innovation: Harnessing Hexaware’s delivery speed to leverage Anthropic advancements will help clients to stay at the forefront of AI
Hexaware’s authorized reseller status strengthens its ability to deliver Claude-powered solutions across key use cases, including intelligent document processing, automated compliance, advanced customer service, clinical data summarization, supply chain intelligence, and AI-assisted software engineering.
Hexaware is scaling these Claude-first solutions for clients, prioritizing AI in the software development life cycle (SDLC), private equity transformation, and cybersecurity. The company has also established a dedicated AI center of excellence (CoE) to support its AI strategy, architecture, and implementation across its global delivery network.
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New partnership helps organizations reduce manual work and gives customers and citizens faster, simpler service.
ImageSource, Inc., maker of ILINX software and a leader in enterprise automation and AI-powered workflow, announced a partnership with BPS Technologies. The partnership makes ILINX available to more organizations seeking to automate business processes, speed up behind-the-scenes work, and make interactions and transactions easier for the customers they serve.
The agreement extends the reach of the ILINX platform through BPS Technologies’ consulting and advisory network, part of the ImageSource strategy to deliver ILINX solutions through trusted partners. Together, the two companies will help organizations deliver faster service, cut repetitive manual work, and give customers smoother experience when applying for or interacting with services.
“Our clients want practical solutions that improve service, reduce manual work, and make interactions easier for the people they serve,” said John Paider, President of BPS Technologies. “ILINX brings workflow, AI-driven intelligent document processing, and customer experience automation together in one platform, which gives our clients powerful tools to modernize how they work and how they serve their customers.”
“BPS Technologies has spent decades earning the trust of its clients by solving real business problems,” said Terry Sutherland, CEO of ImageSource. “Their industry expertise and client relationships make them an ideal partner as we bring ILINX to more organizations.”
The partnership also gives BPS clients access to the latest ILINX capabilities, including AI-powered document processing, data-driven decision support, and intuitive, unified experiences for both customers and knowledge workers across business systems and knowledge sources. This enables organizations to respond to customer needs quickly, proactively inform them, and resolve requests efficiently.
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Archetype AI, the Physical AI company, launched Newton Agents, a portfolio of ready-to-deploy Physical AI agents powered by Newton, Archetype AI’s foundation model for the physical world. Newton Agents understand multimodal sensor data, video, and operational context to help organizations detect machine failures before they happen, optimize processes, and verify that work gets done right. The portfolio launches with five agents that can be deployed immediately, with the flexibility to build custom agents tailored to an organization’s own workflows.
The launch follows Archetype AI’s earlier $35 million Series A, led by IAG Capital Partners and Hitachi Ventures, with participation from new and existing investors including Bezos Expeditions, Venrock, Amazon Industrial Innovation Fund, Samsung Ventures, Systemiq Capital, E12 Ventures, Higher Life Ventures, In-Q-Tel (IQT), and others.
Industrial organizations have spent decades instrumenting their operations, yet the conditions that matter most (like equipment health, process stability, execution quality, emerging risk) remain difficult to understand at scale, because none can be directly measured. Rather than building a custom model for every asset and use case, Newton Agents draw on Newton’s generalized physical intelligence to interpret sensor data and video out of the box, so a single agent can generalize across an entire class of assets. They run securely wherever operations occur: cloud, edge, or on-premise.
Rare Event Detection — Detects rare, high-impact faults from only a handful of examples, with no massive labeled datasets required.
Operational State Monitoring — Identifies hidden operating regimes and performance drivers from multivariate sensor time series.
Anomaly Discovery — Surfaces emerging issues and unknown failure modes before they impact operations.
Task Verification — Uses video to confirm tasks are completed correctly and consistently.
Training Manual Generation — Automatically generates step-by-step SOPs and visual work instructions from operational videos.
“Newton Agents change how AI is deployed in the physical world,” said Ivan Poupyrev, Co-founder and CEO of Archetype AI. “The era of bespoke, one-off AI models is ending. With Newton Agents, organizations can deploy physical intelligence seamlessly across assets, environments, and use cases, without rebuilding every solution from the ground up.”
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Voice conversations are often disconnected from other customer work. The new integration brings customer conversations into one workspace in Front with full customer context, no switching between tools, and faster collaboration across teams.
Front, the customer operations platform for B2B teams who deal in high stakes and hard problems, announced a new integration with Zoom Contact Center, making it easy to manage customer conversations in a single workspace. The integration brings Zoom Contact Center inbound and outbound calls, voicemails, and SMS conversations into Front’s workspace alongside other channels, including email and chat.
As customer communication becomes increasingly fragmented across channels and systems, businesses are struggling to maintain context across interactions. Poor customer experiences could cost businesses nearly $3 trillion in sales globally as customers cut their spending in response to a bad experience, according to Qualtrics XM Institute.
By bringing Zoom Contact Center into the same workspace where teams already collaborate on customer issues, Front helps companies reduce context switching, improve coordination across teams, and resolve issues faster.
“Customer conversations increasingly span channels, teams, and systems, making continuity and context more important than ever,” said Kentis Gopalla, Head of Customer Experience Product & Ecosystem at Zoom. “This integration reflects a shared commitment between Zoom and Front to helping organizations unify customer conversations and improve collaboration across customer-facing teams.”
With the Front and Zoom Contact Center integration, teams can:
Manage calls, voicemails, SMS, email, and chat conversations from one unified, omnichannel workspace
Access conversation history and CRM data during live customer interactions
Listen, search, and comment on call recordings and voicemail transcripts directly in Front
Automatically pause assignments across other channels while agents are on active calls, eliminating interruptions
Track voice, SMS, email, and chat activity in one dashboard through Front Analytics
The integration also extends Front AI into voice and SMS workflows. Front AI can automatically tag, prioritize, and route inbound conversations while AI-assisted drafts and summaries help teams respond faster.
“Voice conversations are often where the most important customer moments happen, but they’re typically disconnected from the rest of the customer workflow,” said Ally Anderson, Vice President of Global Partner and Channel Sales at Front. “Together, Front and Zoom give teams the full context behind every customer conversation so they can resolve issues more effectively.”
The Zoom Contact Center integration builds on an existing integration that allows Front users to launch and manage Zoom Meetings directly from their inbox.
The integration for Zoom Contact Center is available to Front customers on Starter, Professional, and Enterprise plans using Zoom Contact Center. Availability of certain Zoom Contact Center voice features may vary by region.
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DXC has appointed Milan Rao as CES Americas Leader to drive growth and expand business for Consulting, Applications, Data & AI and Engineering services across North & South America.
Rao will help accelerate AI-led growth across digital engineering, platform modernization, and enterprise transformation.
DXC Technology, a leading enterprise technology and innovation partner, announced the appointment of Milan Rao as Consulting & Engineering Services (CES) Americas Leader, effective immediately. A distinguished technology and business leader with a proven track record of driving growth across multi‑billion‑dollar IT services portfolios and delivering successful customer transformations, Milan will report to Ramnath Venkataraman, President, Consulting & Engineering Services at DXC.
In this role, Milan will lead the Americas CES business, driving growth, operational excellence, and client success across the region, deepen executive client relationships, and expand DXC’s Engineering, Applications, Data & AI and consulting capabilities in priority areas. He will focus on expanding DXC’s capabilities in digital engineering, AI-led transformation, and platform modernization across key industries including financial services, insurance, healthcare, manufacturing, aerospace & defense and public sector, where enterprise demand is increasing.
“Milan brings a strong combination of commercial leadership, operational rigor, and deep expertise across Applications modernization, data & AI, digital engineering and AI-led transformation,” said Ramnath Venkataraman, President, Consulting & Engineering Services, DXC Technology. “He has a proven track record of leading large-scale businesses, strengthening client relationships, and delivering transformation across industries. His leadership will help accelerate our momentum in the Americas and strengthen how we deliver innovation and value for clients.”
“I’m excited to join DXC at a pivotal time when enterprises are reimagining their businesses through AI, Applications modernization, data-driven decision making, and engineering innovation,” said Milan Rao, CES Americas Market Leader, DXC Technology. “DXC brings together industry expertise, scale, and client relationships. I look forward to helping our clients unlock greater business value while accelerating growth across consulting, Applications, data & AI, and engineering services across the Americas.”
Milan joins DXC with leadership experience spanning technology, telecom, healthcare, financial services, and digital and engineering services. Over the course of his career, he has led multi-billion-dollar portfolios and enterprise-wide transformation initiatives across global markets. Most recently, Rao served as Chief Operating Officer and Chief Revenue Officer at MarketsandMarkets, where he led global revenue, sales, consulting, and operations, and previously held roles as President at Wipro and President & CEO of GE Healthcare India & South Asia.
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New analytics apps powered by NIQ’s Expanded Omnishopper panel bring CPG brands visibility into shopper behavior — supporting cross-sell analysis, loyalty insights, and smarter growth strategies.
Seek, the builder of Insight Cloud, announced a strategic collaboration with NielsenIQ, a global leader in consumer intelligence. This collaboration brings NIQ’s industry-leading Expanded Omnishopper data into Insight Cloud, launching a set of analytics applications on the platform that transforms how CPG manufacturers, retailers, and brokers access and act on shopper insights.
For many brands, understanding consumer behavior has meant relying on surveys and focus groups. Now, with NIQ apps on Insight Cloud, CPG teams & leaders can tap directly into real-world purchase-based insights at scale and translate them into repeatable, actionable strategies more quickly. By combining NIQ’s Full View™ of the consumer—integrating consumer panel, retail measurement, and omnichannel data—with enhanced, intuitive experiences through Insight Cloud, the collaboration empowers teams to uncover new opportunities for growth, loyalty, and smarter media and product strategies faster than ever before.
“NIQ has long delivered high-quality, trusted consumer insights at scale. Through our collaboration with Seek, we’re building on that foundation to make those insights even more accessible and faster to activate—bringing intuitive, easy-to-digest modules, seamless integration of multiple data sets, and privacy-first clean room analytics together with the power of our Expanded Omnishopper panel,” said Jim Presley, SVP and General Manager, US Consumer at NIQ.
Now available on Insight Cloud, NIQ’s first four apps turn NIQ’s Expanded Omnishopper panel into instant, practical, and easy-to-use insights designed for CPG growth teams:
Market Basket Analysis See which products shoppers purchase together and turn insights into cross-sell revenue.
Point of Entry Analysis Identify the first product that brings customers to your brand, helping you optimize acquisition and build loyalty from day one.
Trip Missions Segment consumers by trip size and uncover deeper patterns in purchasing behavior to power more targeted marketing strategies.
Trip Cycles Analyze sales and engagement trends by day of week and daypart, giving you the granular insights needed to optimize operations and drive growth.
“We’ve always believed in turning data into clarity and action instantly,” said Erik Mitchell, CEO at Seek. “Our collaboration with NIQ continues to lead a transformation in the way that brands want to discover and leverage insights from leading providers— giving CPG brands faster access to shopper insights in a seamless, intuitive, and actionable way. With Insight Cloud, teams can move from question to answer in minutes, not months, and use those insights designed to drive real business action.”
Together, Seek and NIQ are advancing how consumer intelligence is accessed, combining a large-scale consumer panel with a rapidly growing analytics marketplace. To that end, CPG brands licensing NIQ’s point-of-sale, Retail Measurement Services (“RMS”) data can share their RMS feeds with Insight Cloud for select applications. Leveraging the power of NIQ’s data and the ease of Insight Cloud, CPG brands can now access critical shopper insights without the complexity of traditional analytics investments.
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The new automation tool helps admissions teams reduce administrative workload, improve accuracy, and accelerate application processing.
EDMO, an AI-powered enrollment automation company, today announced the launch of its Email Doc Extractor, a new solution designed to automate the extraction, classification, and routing of applicant documents received through admissions email inboxes to the university’s CRM.
Admissions teams across higher education institutions continue to face growing volumes of email-based applications and supporting documents such as transcripts, statements of purpose, recommendation letters, identity proofs, and resumes. These documents are typically received as email attachments and require manual downloading, sorting, and mapping into student records inside CRM, creating a significant operational burden and increasing the risk of delays and errors.
Admissions teams shouldn’t spend hours managing email attachments. Email Doc Extractor automates document processing and record matching, helping institutions move faster and more accurately”
— Ashish Fernando, Founder & CEO, EDMO
EDMO’s Email Document Extractor addresses this challenge by intelligently monitoring designated admission teams’ inboxes and automatically extracting incoming attachments in real time. The system identifies document types, classifies them into document categories using AI-driven models, and maps each file to the correct applicant record within the institution’s CRM or student information system.
The solution supports common file formats, including PDF, Word documents, and image files, etc. and can be configured to align with institutional workflows and document requirements. Once processed, documents are securely synced to the applicant’s profile, enabling admissions teams to instantly review, access, or download files without manual intervention.
To ensure transparency and operational control, Email Doc Extractor includes configurable dashboard alerts that notify teams of successful processing, errors, or failures as they occur. This provides real-time visibility into document flow and system performance.
By eliminating repetitive administrative tasks associated with email-based document handling, EDMO enables enrollment teams to improve processing efficiency, reduce turnaround times, and focus more on applicant engagement and decision-making.
“Admissions teams spend a significant portion of their time manually managing email-based document workflows,” said Ashish Fernando, Founder & CEO of EDMO. “Email Doc Extractor is built to remove that friction. By automating extraction, classification, and record matching, we help institutions process applications faster and with greater accuracy while improving the overall applicant experience.”
EDMO Email Doc Extractor integrates seamlessly with existing CRM and admissions systems, allowing institutions to adopt the solution without requiring major infrastructure changes.
The launch reflects EDMO’s broader mission to modernize enrollment operations through AI-driven automation and intelligent workflow orchestration across the admissions lifecycle.
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Cresta’s AI platform will streamline ticketing operations and fan service for the iconic baseball franchise.
Cresta, the unified customer experience AI platform for human and AI agents, announced a new partnership with the New York Mets. Through the partnership, the Mets will introduce Cresta’s AI across ticketing operations and service to improve fan interactions and drive further efficiency.
The Mets will use Cresta’s full platform, including AI Agent, real-time human agent augmentation, and Conversation Intelligence to enhance ticketing operations and fan service:
Conversation Intelligence: Cresta’s Conversation Intelligence will help the Mets identify common fan questions, service trends, and opportunities to improve ticketing support.
AI Agent: When fans call the Mets’ main contact line, Cresta’s conversational AI Agent will directly assist fans, help answer ticketing-related inquiries, and connect customers to ticketing representatives quickly.
Agent Assist: Cresta’s real-time Agent Assist will support ticket sales and service representatives during live conversations by surfacing relevant information and reducing administrative work, helping staff spend more time focused on the fan.
“The Mets have one of the most passionate fanbases in sports, and every conversation they have with a fan is an opportunity to deepen that relationship,” said Ping Wu, CEO of Cresta. “With Cresta, the Mets will understand what their fans are saying at scale, leverage conversational AI Agents to answer fan questions instantly, and give their teams the real-time support they need to deliver exceptional experiences. We’re proud to be a partner of the Mets, working to take the fan experience to new heights.”
“The Mets are committed to giving fans a world-class experience. Whether they’re buying tickets, making changes, or reaching out with a question, every interaction should be seamless,” said Oscar Fernandez, Senior Vice President of Technology, New York Mets. “Cresta’s AI gives us additional insight to understand what our fans want and exceed their expectations every single time.”
While the market races to add AI agents, Traction Complete is unveiling Data Agents that steward and improve the data layer every business, agent, and decision relies on.
Traction Complete launched Data Agents, a suite of agentic solutions that steward and improve data in Salesforce. Every Agent, human, and decision depends on trusted data. Most are working without it.
Companies are projected to spend more than $200 billion on AI agent software this year, yet Gartner expects more than 40% of agentic AI projects to be scrapped by 2027. The reason they fail? Poor data quality. In this new Agentic era, bad data doesn’t just slow businesses down anymore. It burns real dollars in tokens.
“AI doesn’t question your data. It acts on it.” said David Nelson, CEO of Traction Complete. “Every company we talk to is under pressure to deploy AI, and almost every one of them is aware that their CRM data isn’t ready. Our promise is to fix that.”
Traction Complete’s agent-first approach cleanses, connects, and enriches go-to-market data. Individual Data Agents, each focused on the job it was trained to do. When information enters the CRM, the agent goes to work before it can cause any damage.
Already in production with some of the largest brands in tech, Data Agents let these businesses move faster and adopt AI without inheriting additional uncertainty, risk, or tech debt.
What makes Data Agents trustworthy enough to run in production is transparency built into every action. Every agent comes with the following principles: secondary validation and human-in-the-loop stewardship. Every decision is logged and every output carries a confidence score, sources, and a reasoning narrative.
This is a crucial step to successful agentic adoption for revenue teams today. Trusted data is the foundation for better AI outcomes, business decisions, and revenue.
David continues, “our vision is for revenue teams to stop second-guessing the data and start trusting their AI outcomes.”
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Greenville, S.C.-based agency becomes an approved strategic partner of EOS Worldwide, giving companies running on EOS access to a marketing partner fully aligned with their operating system
Wonder, a Greenville, South Carolina-based brand strategy, marketing, media, and technology agency, has been named an Official EOS Licensee by EOS Worldwide, the organization behind the Entrepreneurial Operating System (EOS). The designation recognizes Wonder as a vetted, approved resource for the more than 200,000 companies worldwide that run their businesses on EOS.
EOS Worldwide reserves Official Licensee status for organizations that meet its Pure EOS standard — tools and collaborators that provide authentic support aligned with the proven EOS process. For companies running on EOS, the designation signals that Wonder has been evaluated and approved as a right-fit resource on their Path to Mastery.
“EOS companies think differently. They run on discipline, accountability, and 90-day execution cycles,” said Jami Mullikin, President of Wonder. “We built Wonder the same way. The Next 90™ Marketing Operating System, our MAP Brief™, our quarterly Rocks — the language was always the same. This licensee status makes it official: Wonder is the marketing partner built for the way EOS companies already operate.”
Wonder’s core methodology, the Next 90™ Marketing Operating System, mirrors the EOS framework in structure and philosophy. Engagements are organized into 90-day cycles aligned to each client’s Vision/Traction Organizer, with clear quarterly priorities, measurable scorecards, and built-in accountability. The agency specializes in helping EOS companies fill their marketing seat, build brand clarity from the inside out, and connect marketing activity directly to revenue. Wonder guarantees measurable traction within the first 90 days of engagement and a mature, accountable marketing organization within 18 months.
The agency brings together brand strategy, marketing, media, and automation technology, and maintains partnerships with HubSpot, Apollo AI, and Factors AI to support full-funnel sales and marketing execution.
For EOS companies evaluating marketing resources, the Official Licensee designation removes a common friction point: the time and energy required to determine whether a vendor understands how an EOS organization operates. Wonder has been vetted. The alignment is built in.
“Every EOS company has a sales and marketing seat on their Accountability Chart,” Mullikin added. “For the ones who have someone in that seat, we become their full-service agency partner — the team behind their team. For the ones who don’t, we fill the seat for them. Either way, the work is the same: aligning sales and marketing to a focused three-year picture and a one-year plan, then activating their brand 90 days at a time.”
Wonder serves B2B organizations across professional services, technology, manufacturing, real estate, and hospitality and tourism. The agency is based in Greenville, S.C., and works with clients nationally.
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AdPlayer.Pro has officially been approved as a Google Ad Manager Technology Partner (AMTP), joining the program’s network of recognized technology providers.
AdPlayer.Pro, a global SaaS video ad tech provider, has been certified as a Technology Partner under Google’s Ad Manager Technology Partner Program, validating its ad-enabled video player’s compliance with GAM’s technical integration standards.
According to the official announcement, AdPlayer.Pro has earned its place among AMTP’s vetted technology partners. The program brings together certified tech providers to strengthen the Google Ad Manager ecosystem, with a shared focus on streamlining inventory onboarding, driving publisher adoption, and improving technical workflows across the industry. As part of this certified network, AdPlayer.Pro’s video ad solution leverages Google IMA SDK to deliver compliant video ads across all the available formats, enabling supply-side partners to effectively scale their video ad operations across multiple demand sources, including Google Ad Manager. For ad networks and platforms using AdPlayer.Pro’s video ad player, this recognition ensures a fully validated GAM integration, backed by dedicated technical support from gTech and streamlined issue resolution.
“Earning the AMTP certification is definitely a significant milestone for AdPlayer.Pro,” said Natalie Romankina, CEO of AdPlayer.Pro. “This recognition confirms that our video ad player fully aligns with Google Ad Manager’s technical requirements, and ensures our publisher partners have access to a fully supported, Google-validated video ad integration.”
Ms. Romankina also noted that the certification brings increased visibility for AdPlayer.Pro within the Google ecosystem. “Being listed means that Google Ad Manager publishers can now easily discover our video player solutions and reach out for support, further strengthening our existing connections with the partners we serve,” she added.
Looking ahead, AdPlayer.Pro plans to continue investing in the development of its video ad player, with a series of performance and functionality updates expected in the coming months. The company’s team remains focused on evolving its video ad tech offering to meet the growing demands of the market and deliver an even stronger product experience for its partners.
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Adobe has announced Adobe Firefly Foundry, a new offering designed to support enterprise organizations seeking greater control over generative artificial intelligence workflows and brand-aligned content creation. The introduction of Adobe Firefly Foundry expands Adobe’s artificial intelligence ecosystem by enabling organizations to develop and manage custom models tailored to specific brand requirements, visual standards, and content production objectives.
The growing adoption of generative artificial intelligence across industries has increased demand for solutions capable of maintaining consistency in visual identity and content output. Organizations operating across multiple channels frequently require content that aligns with established brand guidelines, design systems, and creative standards. Adobe Firefly Foundry has been introduced to address these operational requirements within enterprise environments.
Generative AI technologies continue to influence content creation across marketing, communications, publishing, retail, and digital media sectors. Businesses increasingly rely on automated tools to support creative production while maintaining quality standards and governance requirements. Custom model development has emerged as an important consideration for organizations seeking greater control over AI-generated content.
Adobe Firefly Foundry provides infrastructure intended to support the creation and deployment of customized artificial intelligence models trained on approved enterprise assets and brand materials. Such capabilities may assist organizations in generating content that reflects existing visual identities and established creative frameworks.
Brand consistency remains a significant concern for enterprises producing content across websites, social platforms, advertising campaigns, digital publications, presentations, and customer communications. Maintaining visual alignment across large-scale content operations often requires standardized workflows and centralized creative resources. Artificial intelligence tools capable of supporting these requirements have become increasingly relevant as content demands continue to grow.
The introduction of Adobe Firefly Foundry reflects ongoing developments within the broader artificial intelligence landscape. Enterprise adoption of generative technologies continues to expand as organizations evaluate methods for streamlining content creation processes while maintaining governance standards and creative oversight.
AI image generator technology has become a widely discussed component of modern content production. Businesses, agencies, publishers, and creative teams increasingly utilize AI image generator solutions to support visual content development across a range of applications. Enterprise environments often require additional controls related to brand management, content governance, intellectual property considerations, and asset utilization.
Adobe Firefly Foundry has been introduced within this context, focusing on organizational requirements associated with custom content generation. The platform is intended to support enterprise teams seeking structured approaches to integrating artificial intelligence into existing creative workflows.
Content production demands continue to increase across industries due to expanding digital channels and evolving audience expectations. Marketing departments, design teams, and content creators frequently manage large volumes of visual assets and campaign materials across multiple markets. Artificial intelligence technologies are increasingly being evaluated as part of broader efforts to address operational efficiency and scalability requirements.
Enterprise organizations often require systems capable of supporting collaboration between creative professionals, marketing teams, content managers, and technology stakeholders. Custom AI models may contribute to these objectives by supporting standardized outputs aligned with established brand requirements and approved creative assets.
Artificial intelligence development remains an active area of investment throughout the technology sector. Advancements in generative capabilities continue to influence how organizations approach content creation, digital asset management, and creative production processes. Enterprise-focused solutions represent a growing segment within the broader artificial intelligence market.
Adobe Firefly Foundry expands the range of tools available to organizations exploring enterprise artificial intelligence implementation. The platform contributes to ongoing efforts aimed at integrating generative technologies into professional creative environments while addressing operational requirements associated with scale, consistency, and governance.
As artificial intelligence adoption continues across industries, organizations are increasingly evaluating solutions that align with existing business processes and brand management objectives. Technologies supporting customized content generation and structured workflow integration remain a significant area of interest for enterprise users.
The introduction of Adobe Firefly Foundry highlights continuing developments in enterprise artificial intelligence solutions and the growing importance of custom model capabilities within modern content creation environments. The platform adds another component to Adobe’s broader portfolio of creative and generative AI technologies designed for professional and organizational use.
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