Avio Health is redefining the future of medicine with Agentic AI, a proprietary deep-learning platform that predicts healthspan by analyzing decades of medical records, lab results, and lifestyle data. Instead of reacting to illness, Agentic AI identifies early shifts in biological aging, offering personalized insights and intervention plans before symptoms appear. Its Clinical Correlation engine acts like a digital health detective, transforming fragmented data into predictive intelligence. It analyzes hormone fluctuations, inflammation markers, cardiovascular metrics, and even long-forgotten test results, weaving them together into a timeline of your biological aging and functional capacity. Designed as an enterprise-grade solution, Avio empowers healthcare institutions and labs to process complex medical data at scale — making proactive, precision medicine a reality. By using AI to connect the dots across fragmented data sources, Agentic AI brings true precision to longevity care, making personalized, proactive healthcare finally scalable. “Avio’s Agentic AI leverages multimodal deep learning to transform fragmented health data into predictive, precision diagnostics — enabling preemptive intervention before clinical onset,” says Dr. Elvin Siew, founder of Avio Health.
Square’s conversational AI assistant can answer sellers’ questions about how to use its business technology platform and about trends in their own business by searching its knowledge base and using the seller’s relevant data within its platform
Square has launched a conversational AI assistant that can answer sellers’ questions about how to use Square’s business technology platform and about trends in their own business. The AI assistant, Square AI, is available now in public beta for all sellers in the U.S. and is integrated into the Square Dashboard. “Our goal is to give each seller their own virtual employee that knows every bit of their business,” Willem Avé, global head of product at Square, said. When asked questions about using the platform, the AI assistant searches its knowledge base and provides step-by-step instructions. To answer questions about the seller’s business, Square AI uses the seller’s relevant data within Square to provide the answer. It can answer questions about sales, customers, staff and transactions, enabling sellers to optimize staff hours, identify slow-moving inventory, maximize top sellers and recognize top customers. The company will expand these capabilities throughout the year. To protect the data within the business, the AI assistant is only available for account owners and administrators. In addition, Square never sends sensitive information to model providers or partners, and it ensures no data processed by third-party companies is retained outside of Square systems or used for any type of training.
Zscaler can identify new and unexpected sensitive content across >200 categories and beyond traditional regex-based signature detection for granular data security posture assessment
Zscaler, a leading cloud security provider, has introduced advanced AI security capabilities and innovative innovations to improve data security and prevent cyberattacks. These advancements address challenges such as safeguarding proprietary information and maintaining regulatory compliance. Zscaler’s platform connects users, devices, and data across distributed environments, leveraging the world’s largest inline security cloud. The AI engines deliver accurate threat detection and automated security, while the latest AI-focused solutions unify users, applications, devices, clouds, and branches, enabling seamless collaboration and precision deployment. The following solutions—showcased during Zenith Live 2025—are available for Zscaler customers to accelerate secure, AI-driven innovation:
AI-powered Data Security Classification: Zscaler’s newest AI-powered data security classification brings human-like intuition to identifying sensitive content, now including more than 200 categories, allowing advanced classifications that find new and unexpected sensitive data beyond traditional regex-based signature detection. As a result, organizations can get very granular data security posture assessment in a fraction of the time.
Enhanced Generative AI Protections with Expanded Prompt Visibility: Zscaler delivers greater visibility and control over GenAI applications, including Microsoft CoPilot, by enabling advanced prompt classification and inspection. Organizations can block prompts that violate policies and leverage existing DLP capabilities to safeguard sensitive data and ensure compliance across AI-powered workflows.
AI-Powered Segmentation: Enhancements include the first purpose-built user-to-application segmentation AI automation engine to now simplify app management, app grouping and segmentation workflows with user identity built in. This capability significantly accelerates the segmentation workflow to rapidly improve an organization’s security posture.
Bain & Co to leverage Terralytiq’s AI-driven Scope 3 decarbonization analytics platform to help companies identify and track emissions reductions at a granular level and automate supplier outreach
Bain & Company, a leading global management consulting firm, announced a strategic partnership with Terralytiq, a supply chain decarbonization intelligence solutions provider with a mission to reduce one billion tons of industry emissions by 2030. The partnership pairs Bain’s deep industry expertise in strategic advisory and business transformation with Terralytiq’s ability to deliver advanced decarbonization analytics, as companies around the world contend with how to lower emissions, particularly Scope 3, and achieve 2030 near-term targets. Together, Bain and Terralytiq will jointly support clients and co-develop a set of enhanced offerings backed by Terralytiq’s AI-driven Scope 3 intelligence platform and decarbonization copilot. This will provide companies with the capabilities needed to identify emissions reductions at a granular level, create supplier- and facility-specific product carbon footprints based on procurement data, and automate supplier outreach and eliminate months of manual data collection, reducing the time needed between planning and execution. Torsten Lichtenau, senior partner and global head of Bain & Company’s Climate Change and Decarbonization solution. “Scope 3 emissions are notoriously difficult to both measure and abate. This strategic partnership will give our clients access to enhanced analytics tracking capabilities backed by Bain proprietary benchmarks and strategic insight, turning raw data into board-ready cases aimed at informing business leaders who are working to crack Scope 3 and beyond.” “Early adopters of our solutions have been known to cut Scope 3 data-collection time by up to 70% while identifying multimillion-dollar cost and risk savings,” said Alexander Pfeiffer, co-founder & CEO at Terralytiq.
Paragon Bank’s smart savings app connects effortlessly with a customer’s existing current account enabling customers to view their current account balance in the savings app and seamlessly move money between accounts
Paragon Bank has partnered with Moneyhub to launch ‘Spring’, a Paragon savings app designed to help UK consumers maximise their savings. This collaboration leverages Moneyhub’s data and insights platform to provide seamless Account Information Services (AIS) and Payment Initiation Services (PIS), enhancing the app’s capabilities and user experience. Spring aims to address the issue of “current account coasting”, where over 29 million UK adults leave their money in low or zero-interest accounts, missing out on billions in potential interest. Spring offers a competitive interest rate of 4.30% AER, significantly higher than typical rates available from Big 6 banks, without the need to switch current account provider. Spring uses Moneyhub’s Open Banking technology, allowing it to connect effortlessly with a customer’s existing current account. This integration enables customers to view their current account balance in the Spring app and seamlessly move money between accounts, providing users with full control over their savings. The app also offers features such as savings pots and unlimited withdrawals, all without hidden fees or restrictions. This partnership has proven to be highly effective, marking the beginning of a journey focused on long-term vision and data utilisation to enhance financial outcomes for Paragon’s customers.
Visa’s 2Q 25: U.S. payments volume grew 6% and international payments volume grew 9%.; 50% of Global eCommerce transactions are tokenized, “tap to everything” strategy continues to bear fruit
U.S. payments volume grew 6% and international payments volume grew 9%. Cross-border volume, excluding intra Europe, rose 13% in constant dollars. Within the U.S., debit volumes were up 9% (in constant dollar terms) outpacing credit volumes of 4%. Ryan McInerney, CEO, said that total credentials were up 7%, and the firm added 1 billion tokens to 13.7 billion. “Nearly 50% of our eCommerce transactions, globally, are tokenized,” he said. Visa’s “tap to everything” strategy continues to bear fruit, McInerney said, adding that tap to phone added 2 million transacting device terminals since the last quarter. Tap to Pay penetration is at 76% globally, he said, with the U.S. passing 60% for the first time. McInerney also pointed to stablecoins as an area of promise as “two important capabilities are interoperability and programmability. We have continued to expand our interoperability, including with our first seven day a week stablecoin settlement, recently surpassing $200 million in cumulative stablecoin settlement volume,” he said. Commercial volumes were up 6% in constant dollars, with Visa Direct transactions up 28% to 3 billion transactions. “To capture the accounts receivable and accounts payable opportunity, we are utilizing product innovations such as embedded finance solutions to meet payers where they manage their business to drive adoption of cards,” McInerney said. Value-added services revenues were up 22%.