Fairmint has launched Observer Nodes for Onchain Equity on the Canton Network. The initiative delivers transparency, accountability and regulatory visibility into equity moving onchain while preserving privacy. Observer Nodes provides the privacy protections companies and individuals require while maintaining the regulatory transparency that ensures market integrity. Observers will access read-only automated tools directly from their active nodes on the network, without permission to view personally identifiable information and can flag when potential violations occur. This approach preserves confidentiality for compliant activity while ensuring regulatory authorities can access material information to maintain fair and orderly markets during investigations. Allowing Observer Nodes transforms compliance from reactive enforcement to proactive monitoring. The technology implements protocol-level standardization with immutable audit trails and programmatic compliance enforcement, which are core elements of Fairmint’s seven-point regulatory modernization framework. This positions global capital markets to lead next-generation securities infrastructure while maintaining enhanced investor protections through real-time violation detection and automated regulatory reporting.
Cognigy conversational and agentic AI will be enriched with NiCE’s purpose-built CX AI models to make agents smarter, deployments faster, and outcomes more impactful
NiCE announced the successful closing of its acquisition of Cognigy, following receipt of all required regulatory approvals. This brings together two AI industry leaders, each with a proven track record of market leadership, innovation, and customer impact to accelerate AI adoption in customer experience across the front and back office. By bringing together Cognigy’s AI and NiCE’s award-winning CXone Mpower CX AI platform, organizations of all sizes will transform how they deliver AI-powered customer experience. Cognigy conversational and agentic AI will be enriched with NiCE’s purpose-built CX AI models leveraging decades of CX intelligence, making agents smarter, deployments faster and outcomes more impactful. With this unified power, organizations can scale agentic and conversational AI at speed across CXone Mpower, delivering seamless, intelligent experiences across every customer touchpoint, from the contact center to enterprise-deep workflows. Scott Russell, CEO, NiCE, said, “With the completion of this acquisition, we are bringing together two AI market leaders to redefine the future of customer experience. Together, we are accelerating AI adoption and value realization for global enterprises by delivering one of the industry’s most powerful and comprehensive customer experience platforms leveraging CX models and agentic and human agents powered by decades of CX purpose-built data and insights.
More than three-quarters of financial advisors (78%) surveyed at LPL Financial LLC’s flagship annual conference are already leveraging or plan to use AI tools
More than three-quarters of financial advisors (78%) surveyed at LPL Financial LLC’s flagship annual conference are already leveraging or plan to use AI tools to create capacity in their businesses this year. More than half of LPL advisors surveyed (54%) plan to grow their businesses by upgrading technology systems, including AI and automation tools. When asked what they see as the biggest challenge to their business over the next 12 months, only 12% of the advisors surveyed identified disruptive technology, like AI – compared to challenges such as economic/market volatility (23%) and sustaining growth with their client base (23%). The survey also found that LPL advisors are looking to add wealth management services to grow their businesses, with one-in-five (18%) expecting to expand their offerings of alternative investments and more than a third (37%) hoping to provide additional planning or concierge services such as financial coaching or estate planning. LPL advisors intending to expand up-market to serve higher-net-worth clients are prioritizing adding more wealth planning services to their offering (34%) and cultivating center-of-influence relationships with CPAs and attorneys (24%). Advisors surveyed also reported a wide range of interests from their client base, with clients asking them the most about: market volatility, including tariffs, inflation and geopolitical instability (62%); goals-based financial planning, including retirement readiness (50%); tax optimization (49%); estate and wealth transfer planning (43%); and managing rising costs such as housing or healthcare (28%).
Equita Financial Network launches Succession Advantage; integrating Ellevate’s roadmap and FP Transitions’ valuations, deal structuring, and legal documentation to streamline ownership transitions for women‑owned RIAs
Equita Financial Network (EquitaFN), the only wealth management platform for women owned, fee-only independent financial advisors, announced the launch of its new succession planning solution, EquitaFN Succession Advantage, designed to help member firms secure their futures, preserve business value, and ensure clients are cared for during leadership transitions. Developed in collaboration with Ellevate Advisors and FP Transitions, the offering provides EquitaFN members with access to a comprehensive suite of services that combine personalized planning, tailored implementation, and expert transaction support. Through the new solution, EquitaFN member firms will benefit from: Ellevate Advisors’ Succession Roadmap, which includes readiness assessments, personalized action plans, quarterly implementation milestones, and transition coaching to guide advisors through every stage. FP Transitions’ Valuation and Transaction Expertise, including certified valuations, deal structuring, and full legal documentation support to ensure smooth and compliant ownership transitions. EquitaFN’s Matching Platform (in development for early 2026), giving members access to a curated pool of like-minded successors.
Roblox launches Tik-tok like short-form gameplay feed, boosts creator earnings and unveils AI tools to accelerate creation such as functional 3D objects and voice APIs
Roblox has announced “Roblox Moments,” a new short-form video feature similar to TikTok, allowing users aged 13 and above to capture, edit, and share 30-second gameplay clips. Users can add music, write descriptions, and browse a scrollable feed of community-shared clips, reacting with emojis or jumping directly into the featured experiences. All content is moderated before posting, and users can report inappropriate videos. Roblox plans to introduce API-based tools later this year, enabling creators to build custom in-game creation and discovery systems. To support its creator community, Roblox is increasing the Developer Exchange (DevEx) rate—100,000 Robux will now convert to $380 instead of $350. The platform is also rolling out new AI tools that allow creators to generate fully functional objects, starting with vehicles and weapons. Text-to-speech and speech-to-text APIs will enhance immersion, enabling NPC dialogue and voice commands with ten customizable English voice presets. Performance improvements include a new “Server Authority” mode to reduce cheating and improve physics realism. Avatars will soon move more naturally, with lifelike running, climbing, and object interaction. Roblox also plans to boost visual fidelity across devices without requiring extra effort from creators or sacrificing performance. These updates aim to enhance creativity, interactivity, and user experience across the platform.
With CardFree deal Fiserv’s Clover gains enhanced loyalty capabilities, from mobile pay-and-earn flows to kiosk-based redemption, housed within Clover and Commerce Hub
Fiserv’s acquisition of CardFree brings a new suite of loyalty and payment options tailored to restaurants. By integrating CardFree’s mobile ordering, pay and loyalty platform into Fiserv’s ecosystem, merchants can now embed seamless reward programs directly into ordering flows, reducing friction and deepening engagement. CardFree’s technology allows restaurants to offer integrated loyalty, rewarding customers automatically at checkout, whether they order in-venue, via kiosk or through delivery partnerships. For hotel operators, loyalty is equally critical to guest retention and spend. The integration of CardFree into Fiserv can extend to lodging, enabling hotels to embed loyalty offers directly into guest interactions, whether ordering room service, checking out via kiosk or engaging with property management systems. With third-party software integration capabilities, Fiserv now supports loyalty programs that travel across guest touch points, making each stay more rewarding and reinforcing brand preference in a competitive hospitality landscape. Moreover, CardFree’s drive-thru and kiosk functionality also serves restaurants and hotels operating quick-service or grab-and-go models. Guests ordering through a drive-thru window or self-ordering kiosk can be rewarded in real time. Through the deal, Fiserv’s Clover gains enhanced loyalty capabilities, from mobile pay-and-earn flows to kiosk-based redemption, housed within Clover and Commerce Hub.
Visa enables agentic commerce with tokenized credentials, device-specific authentication and intent-matching “payment instructions,” that verify agent purchases against consumer requests to mitigate hallucinations and fraud
Visa has released new developer tools that allow AI agents to connect directly to Visa’s payment infrastructure, enabling what the company calls “agentic commerce” — a system where AI bots handle everything from product discovery to checkout completion based on consumer preferences and spending limits. Rather than browsing websites and manually completing purchases, consumers would set parameters for AI agents that then autonomously find, evaluate, and buy products across multiple merchants. Rubail Birwadker, Visa’s Global Head of Growth said “These agents will need to be trusted with payments, not only by users, but by banks and sellers as well.” Visa’s new offering centers on two key products: a Model Context Protocol (MCP) Server that provides secure access to Visa’s payment APIs, and the Visa Acceptance Agent Toolkit, which allows both technical and non-technical users to deploy AI-powered payment workflows using plain language commands. The MCP Server represents a significant technical breakthrough, providing AI agents with a standardized way to communicate with Visa’s trusted network without requiring custom integrations for each application. Developers can now move “from idea to functional prototype in hours instead of days or weeks,” according to the company. Visa has implemented multiple layers of protection, including immediate tokenization of card credentials, device-specific authentication, and what Birwadker calls “payment signals” and “payment instructions” that verify AI agent actions align with original consumer intent. “Your PII or your PAN is never going to be exposed,” Birwadker said, referring to personally identifiable information and primary account numbers. “We almost immediately take that pan, we convert it into a token, and we authenticate that token and tie it to a specific device for a specific application.” The company has also developed a matching process that prevents transaction completion until it confirms an AI agent’s intended purchase matches what the consumer originally requested. This addresses concerns about AI “hallucinations” — instances where language models generate incorrect or nonsensical outputs.
Eskimi unveils DeepContext, enabling advertisers to deploy strategic brand blueprints and real-time web monitoring for precise, privacy-friendly contextual targeting across multiple languages
Eskimi has launched DeepContext — an AI-powered solution designed to help advertisers build and activate client-specific brand strategies in contextual advertising. By understanding the meaning behind content, offering real-time website monitoring, and supporting nearly all world languages, the tool makes advanced contextual targeting accessible to advertisers within and beyond mature markets. DeepContext enables agencies and brands to create or upload brand blueprints — strategic guidelines or briefs — that define how their brand should be presented in digital environments. Once a blueprint is established, the platform automatically evaluates and classifies placements based on how well they align with the brand’s specific requirements. Instead of relying on standard keyword analysis, DeepContext is able to evaluate the full-page content (e.g., tone, sentiment, and themes) and match it to a brand’s custom blueprint for maximum relevance, says Sandoval. Moreover, it delivers real-time insights, transparent reasoning for placements, and smarter brand safety that avoids false blocks while keeping ads contextually aligned. Eskimi’s latest innovation also employs real-time website monitoring, ensuring that brand placements appear on newly released and highly relevant web pages. Unlike traditional behavioral approaches, contextual focuses on the current context of a page or content, ensuring that ads align naturally with the user’s intent. This method not only improves engagement and relevance but also allows advertisers to create a seamless user experience where advertising feels helpful rather than intrusive.
Amazon targets $488B online grocery market with integrated Prime delivery, leveraging subscription model to increase customer lifetime value and reduce cancellations
By focusing on groceries, Amazon is targeting a high-frequency purchase category that directly enhances the value proposition of its Prime membership. For Prime members, same-day grocery delivery is free on orders over $25, while smaller orders incur a $2.99 fee. (Non-Prime customers pay $12.99.) This pricing model undercuts competitors and is a tangible benefit that could strengthen loyalty among Prime members. In the bigger picture, groceries and everyday essentials are a core focus of Amazon’s strategy, representing a rapidly growing segment of its delivery business. Jamil Ghani, worldwide vice president of Amazon Prime, told that 2 billion of the 9 billion items delivered in 2024 were groceries and everyday essentials, a 50% increase over the previous year. This aggressive growth highlights the strategic importance of high-frequency purchases as a key driver for Prime membership. As Ghani said, “Our store is meant to be the everything and everyday store, and [Amazon’s] everyday essentials and grocery strategy is about really bolstering the credential on the ‘everyday’ part of it.” The underlying logic of Amazon’s Prime membership model has a clear precedent in the retail sector. The rationale is simple: Customers are less likely to cancel their subscriptions as membership value increases across multiple life needs. For Amazon, Prime’s expanding suite of lifestyle services represents a modern digital parallel. Besides free or low-cost grocery delivery, these benefits include streaming on Prime Video, free shipping on books and household goods and even discounts for healthcare. The Prime Rx prescription savings program offers Prime members discounts of up to 80% on generic medications and 40% on brand-name medications when paying without insurance. The RxPass subscription also offers unlimited eligible generic medicines for a flat monthly fee. Each of these retailers has used bundled value not simply as a retention tool, but as a driver of habitual use and increased customer lifetime value. This comes on top of outright savings: Amazon Prime members save an average of more than $500 annually on deliveries alone — another compelling reason to stay on Prime. This strategic bundling makes the Prime ecosystem an integral part of a customer’s life, creating a buffer against cancellation. This enables Amazon to reinforce the value of Prime membership while competing with e-commerce platforms such as Shopify, even at the potential cost of a direct sale on Amazon’s own e-commerce platform. According to Ghani, the service’s subscription revenue significantly contributes to the company’s investment pool to fund benefits. The company believes this reinvestment deepens member engagement across the entire ecosystem.
Koah targets long tail AI apps built on top of the big models adding conversational ads to monetize beyond subscriptions and claiming 4x–5x effectiveness over legacy adtech
Startup Koah isn’t trying to introduce advertising to ChatGPT. Instead, it’s focused on the “long tail” of apps that are built on top of the big models, including apps with a user base outside the United States. When consumer AI products were first becoming popular, it made sense for them to focus on “wealthier, prosumer” users, and to monetize those users by converting some of them into paid subscriptions. CAo-founder and CEO Nic Baird suggested that by successfully figuring out how to make advertising work in AI chats, Koah could actually unlock more potential for “vibe coded” apps that might otherwise be “too expensive to operate at scale” unless their creators raise VC funding. These ads are marked as sponsored content, and they’re supposed to appear at relevant moments in your chats. When Koah talks to publishers, Baird said many of them believe that ads simply don’t work in AI chats, while others have found limited success with AI offerings from older adtech companies like Admob and AppLovin. But Baird said Koah is 4 to 5 times more effective, delivering clickthrough rates of 7.5%, and with early partners earning $10,000 in their first 30 days on the platform. He added that Koah achieves all that while having less of a detrimental effect on user engagement — though his ultimate goal is for Koah ads to feel relevant enough that they actually improve engagement. Koah is “building the essential monetization layer for consumer AI services.”