Genesys unveiled advanced agentic AI agents for the Genesys Cloud™ platform to help organizations orchestrate customer and employee experiences across enterprise platforms and teams. Enhancements to Genesys Cloud Copilots and Genesys Cloud Virtual Agents will enable greater autonomy, contextual awareness and built-in support for Agent2Agent Collaboration (A2A) and Model Context Protocol (MCP). The Copilots and Virtual Agents underpinned by Genesys Cloud AI Guides empower AI agents to operate within trusted enterprise guardrails and accelerate readiness for responsible agentic orchestration at scale. Powering these capabilities is the Genesys Cloud Event Data Platform (EDP), which brings data and analytics closer to customer interactions. Genesys Cloud Copilots are AI agents designed for the contact center employee — from frontline customer service representatives and supervisors to administrators and business leaders. Employees gain real-time guidance and insights to solve problems, detect anomalies and identify risk. Analytics Explorer, the first AI Skill that will be released at launch of the advanced Genesys Copilot suite, provides historical and real-time data to help lower the barrier to insights and accelerate decision-making. It offers users support on configuration and setup, as well as access to performance metrics, agent activity and trends in natural language. Building on Genesys Cloud AI Studio and AI Guides, Genesys has activated powerful new capabilities within its customer-facing Virtual Agent. Organizations can now deliver rich conversations that help improve customer satisfaction and operational efficiency through faster resolutions, broader language support and more natural interactions.
Sourcetable debuts spreadsheet‑native Superagents: autonomous, tool‑using AI that read/write databases and apps, orchestrate multi‑step tasks, and connect via secure API and MCP credentials
Sourcetable, an AI spreadsheet company, introduced Superagents: autonomous, tool-using AI agents that can connect to any system on the Internet, analyze and manipulate data, and take meaningful action, all from within a spreadsheet. Sourcetable’s Superagents orchestrate systems and assign tasks to individual agents for hands-free automation that turns raw data into insights and action, freeing teams to focus on results instead of busywork. By transforming spreadsheets, which are already one of the most trusted tools in business, into an agent-ready operating system, Sourcetable gives teams a faster, more secure path to automation, without the need to rip and replace existing systems. By abstracting away integration and complexity, Sourcetable is positioning itself as a critical infrastructure layer, enabling both humans and agents to share a common workspace. Designed to make tasks that once required hours of coding and analysis be completed in minutes, Sourcetable’s advanced AI capabilities and Superagents can reason, model, specialize, and complete complex tasks, such as financial modeling, allowing users to leverage curated tools, conduct API calls, and securely connect their databases to the platform. These capabilities are enhanced through a spreadsheet interface, which enables users to maximize productivity and includes: Spreadsheet‑native accessibility: AI-powered spreadsheets match Excel for formulas, charting, and graphing, and work seamlessly with CSV/Excel files, databases, and third‑party applications. Flexible ways to build: Interact using natural language, A1 notation directly in the spreadsheet, or code in Python or SQL. Full read/write orchestration: Agents can read from and write to connected apps and databases, and can coordinate task-based agents to complete multi‑step work. Data connectors: Sourcetable offers “native” connectors to databases and popular third-party applications, including Google Ads, Google Analytics, Postgres, Hubspot, Shopify, and Stripe. These are stable, vetted connectors with reliable quality. API & MCP playground: Connect to any third-party application on the Internet. Sourcetable generatively codes a connector solution in real-time. Great for analyzing data, quality varies based on popularity and public documentation of the third-party service.
Empromptu launches no‑code platform to build production‑ready AI apps using RAG and LLMOps, generating front/back ends and AI logic with 98% accuracy and enterprise integrations
A startup called Empromptu Inc. is looking to deliver where all other AI-based application building tools have failed. It’s launching what it says is the first platform of its kind to deliver complete, business-ready AI applications that can be relied upon to work in production and integrate smoothly with existing technology systems. Empromptu says its AI app builder does much better because it’s the first such platform that’s built on a complete AI stack, with LLMOps tooling, retrieval-augmented generation or RAG, automated AI response optimization and other essential features. Empromptu is aimed at regular business employees rather than developers, offering a no-code interface that allows them to describe the application they want to build using natural language. From the user’s description, Empromptu will then set about building a complete, production-ready AI application based on a full stack that includes the front end, back end and AI logic, along with a user interface that integrates with the user’s existing workflow. With built-in automatic AI response optimization, Empromptu says, its generated apps achieve 98% accuracy in response to user’s prompts, thanks in part to its use of RAG, which makes it possible for them to tap into secure corporate data to enhance its responses. Using Empromptu, anyone can build an AI-powered app within just a few minutes. Empromptu says, its platform can be used to create extremely powerful AI applications for almost any use case. Empromptu said the secret to its accuracy is its proprietary optimization technology. With built-in automatic AI response optimization, Empromptu says, its generated apps achieve 98% accuracy in response to user’s prompts, thanks in part to its use of RAG, which makes it possible for them to tap into secure corporate data to enhance its responses.
Empromptu launches no‑code platform to build production‑ready AI apps using RAG and LLMOps, generating front/back ends and AI logic with 98% accuracy and enterprise integrations
A startup called Empromptu Inc. is looking to deliver where all other AI-based application building tools have failed. It’s launching what it says is the first platform of its kind to deliver complete, business-ready AI applications that can be relied upon to work in production and integrate smoothly with existing technology systems. Empromptu says its AI app builder does much better because it’s the first such platform that’s built on a complete AI stack, with LLMOps tooling, retrieval-augmented generation or RAG, automated AI response optimization and other essential features. Empromptu is aimed at regular business employees rather than developers, offering a no-code interface that allows them to describe the application they want to build using natural language. From the user’s description, Empromptu will then set about building a complete, production-ready AI application based on a full stack that includes the front end, back end and AI logic, along with a user interface that integrates with the user’s existing workflow. With built-in automatic AI response optimization, Empromptu says, its generated apps achieve 98% accuracy in response to user’s prompts, thanks in part to its use of RAG, which makes it possible for them to tap into secure corporate data to enhance its responses. Using Empromptu, anyone can build an AI-powered app within just a few minutes. Empromptu says, its platform can be used to create extremely powerful AI applications for almost any use case. Empromptu said the secret to its accuracy is its proprietary optimization technology. With built-in automatic AI response optimization, Empromptu says, its generated apps achieve 98% accuracy in response to user’s prompts, thanks in part to its use of RAG, which makes it possible for them to tap into secure corporate data to enhance its responses.
HSBC and BNP Paribas join Canton Foundation, bringing members to 30 and G‑SIBs to four, to advance privacy‑preserving tokenization and interoperable collateral across Canton‑linked networks
HSBC and BNP Paribas are now formally part of the Canton Network‘s governance body, the Canton Foundation. The addition of the two global systemically important banks (G-SIB) brings the membership to 30, following the inclusion of Goldman Sachs, Moody’s and the Hong Kong Monetary Authority in March. Alongside existing member BNY that brings Canton’s G-SIB membership count to four. Both HSBC and BNP Paribas operate their own enterprise blockchain networks using Canton technology from Digital Asset. But these are still relatively siloed. Canton, a public network with a set of permissioned validators, enables far greater interoperability. That means the digital assets on their permissioned networks could potentially be traded on Canton-linked trading venues, used as collateral on another network or transactions could be settled with Canton based digital money. Unlike other public chains, the Canton Network protects privacy. One of the other Canton members that should be of interest to these two banks is Tradeweb. The company operates several marketplaces, including one of the biggest bond trading venues. Both BNP Paribas and HSBC continue to host digital bond issuances on their blockchains.
Crypto institutional adoption appears to be in the early phases with institutions; institutions holding about 25% of bitcoin ETPs : JPMorgan’s report
Institutional adoption of crypto still looks early, but momentum is building, according to a report from JPMorgan. Bullish’s August IPO and the passage of the GENIUS Act have sharpened focus on the sector, with regulatory clarity removing one of the biggest hurdles for large investors, wrote analysts led by Kenneth Worthington. Signs of engagement are emerging, the analysts continued. The Chicago Mercantile Exchange reported record institutional open interest in crypto derivatives, institutions now hold roughly a quarter of bitcoin ETPs and an EY survey showed that 85% of firms already allocate to digital assets or plan to in 2025, citing regulation as the key driver. Ether and remain the primary ways to play this theme, JPMorgan said. Ether, which underpins most stablecoin activity, has rallied nearly 20% since GENIUS passed, while SOL is up 17%. In equities, Bullish has become an institutional proxy.
Minnesota Credit Union to launch stablecoin; it differs from mainstream stablecoin offerings like USDT or USDC as it connects directly to the credit union’s banking system
St. Cloud Financial Credit Union plans to roll out a proprietary stablecoin what it claims to be the first from a U.S. credit union. The token, dubbed Cloud Dollar (CLDUSD) and developed with blockchain firm Metallicus and financial technology provider DaLand CUSO, is slated to debut as part of the credit union’s digital asset vault service in the last quarter of 2025. “With CLDUSD, we’re readying our shop for on-chain money movement — merchant payouts, member-to-member, institution-to-institution — at a fraction of card-network fees and with full transparency,” said Chase Larson, EVP/CLO for St. Cloud Financial Credit Union. CLDUSD differs from mainstream stablecoin offerings like USDT or USDC as it connects directly to the credit union’s banking system. The token will be issued on Metallicus’ blockchain banking stack the Metal Blockchain and integrated through DaLand CUSO’s Coin2Core software, which ties blockchain services to existing credit union infrastructure. The design aims to keep deposits on-platform while giving members a way to move money instantly and at lower cost in a regulated manner.
Experian launches continuous KYC monitoring that auto‑flags data changes; cutting manual reviews and refocusing investigators on high‑risk cases across UK banks
Experian launched a new solution in the United Kingdom that streamlines know your customer (KYC) checks by continuously monitoring customer data from internal and external sources and automatically flagging data changes that may indicate risk. The Financial Crime Compliance Perpetual Monitoring solution reduces financial institutions’ reliance on manual periodic reviews, prompts them to further review the data changes that it flags, and allows them to focus on the most complex and high-risk cases, the global data and technology company said. Experian will roll out the solution across the banking and lending industry over the next year, after having worked with several major banks and lenders to pilot it. “Ultimately, our ambition is for Perpetual Monitoring to become the industry standard across the U.K. financial services industry, using best-in-class technology to prevent laundered money from entering and destabilizing the financial system,” Grant MacDonald, director of FinCrime market engagement, Experian UK&I, said. Lloyds Banking Group has been using a Perpetual Monitoring solution called Automated Portfolio Monitoring (APM) for “some time,” having developed it in collaboration with Experian. “APM has significantly reduced friction for our customers, streamlining touch points and creating a smoother, more seamless experience when we’re doing the checks we must do to protect and prevent financial crime,” Tom Martin, business platform lead at Lloyds Banking Group, said.
Aven’s home‑equity backed credit card uses automation and machine learning to approve HELOCs in 15 mins, delivering 10-11% APR on $3B in credit lines
Fintech lender Aven announced a new $110 million fundraise at a $2.2 billion valuation, up from $1 billion about a year ago. The Series E financing was led by Khosla Ventures. Aven serves a niche of U.S. homeowners with above average credit scores, helping them tap into their home’s equity to earn lower interest rates, and injecting that borrowing power onto a credit card. Sadi Khan, Aven’s cofounder and CEO, says Aven’s average interest rate is just 10% to 11%—understandable, since its loans are secured by borrowers’ homes. He makes a bold claim: he wants to cut Americans’ interest payments in half and “to drive the single largest change in the cost of capital in American history.” Khan has focused on making Aven fast–people can get approved for an Aven home equity line of credit (HELOC) in 15 minutes or less, compared with a month for traditional HELOCs. To do that, Aven has added features like on-demand digital notarization, removing the need for an in-person notary. The primary reasons why people take out Aven loans, which offer limits ranging from $5,000 to $400,000, is for home improvement projects, debt consolidation and other large expenses. The company targets people with FICO credit scores of about 730 and that the number of Aven customers who are delinquent on their payments or have defaulted on their loans is in line with that of traditional HELOCs. Khan adds that some Aven customers with a balance of less than $10,000 are eligible to enroll in “foreclosure protection,” where they’re given at least a year to repay their loan if they run into financial trouble. Beyond HELOCs, Aven is now expanding into mortgage refinancing. So far, Aven has done less than a dozen cash-out refinances, where consumers typically take out a larger mortgage and pocket the difference in cash. It aims to speed up the approval process to 10 days or less.
Aven, valued at $2.2 billion, now expands into mortgage refinancing after new funding; plans to build an one-stop financial platform for homeowners
Fintech Aven has raised $110 million in a Series E funding round, expanded into mortgage refinancing and added heavyweight advisers Lawrence Summers and Patrick McHenry to its board. The fintech, best known for its home equity-backed credit card, is now valued at $2.2 billion following the round led by Khosla Ventures, with participation from existing investors General Catalyst, Caffeinated Capital, GIC, Electric Capital and Founders Fund. Aven claims it has issued more than $3 billion in credit lines, saving homeowners $215 million in interest. Its credit card backed by a home equity line of credit (HELOC) can reportedly reduce borrowing costs by up to 50%, while its rewards program offers 2% unlimited cash back. The firm’s ambition is to build a “machine banking” platform that uses real assets to lower costs for consumers. Alongside the Aven Home Equity Card and Rewards Card, the company is now rolling out a mortgage refinancing product. Its Visa credit cards are issued by Coastal Community Bank. “We’re building a one-stop financial platform designed to fully serve the needs of homeowners,” Sadi Khan, co-founder and CEO of Aven. “Our expansion into mortgage products will bring the same speed and efficiency that transformed home equity access, with the goal of creating the best mortgage refinance experience in the market.”