AIR’s researchers started with something that looked harmless: a useful AI skill. They placed it inside a respected open-source ecosystem, where it inherited the credibility of roughly 37,000 GitHub stars, promoted it to ordinary users, and watched security scanners approve it. People installed it. Eventually, AIR says the experiment reached more than 26,000 AI agents. […]
Somewhere inside a scam operation, a fraudster can spend two hours persuading a victim to hand over money. For Apate.AI, the useful part is that the “victim” may never have existed. The Sydney-born company has built thousands of conversational AI agents designed to behave like believable scam targets. They answer calls and messages, keep fraudsters […]
Blue Machines AI will partner with five most ambitious CX AI initiatives from Indian financial institutions and invest its multi-crore platform, proprietary technology, engineering and deployment capacity to take them into production Bengaluru, 31 August 2026: Blue Machines AI, an advanced agentic CX operating system for enterprises, today announced Project Icebreaker, a sovereign AI co-innovation program for […]
OpenAI is making its most capable GPT-5.6 model cheaper at a moment when developers are starting to judge frontier AI on more than intelligence alone. GPT-5.6 Sol will temporarily cost $4 per million input tokens and $20 per million output tokens, reducing the price of running complex reasoning, coding and agentic workloads through OpenAI’s flagship […]
The old model hierarchy was easy to understand. Bigger models handled the difficult reasoning; Flash models earned their place through speed and lower cost. Gemini 3.7 Flash is designed to make that division less obvious. Google is positioning its latest Flash release as a production model for coding, multi-step agents and knowledge work, while keeping […]
Mindgard began with the conclusion that traditional application security was looking at the wrong kind of problem. Research led by Dr. Peter Garraghan at Lancaster University had been examining AI security for more than a decadebefore Mindgard was founded in 2022. The challenge was increasingly clear: AI systems could behave probabilistically and opaquely, introducing exploitable […]
A company can spend weeks defining its strategy and still lose sight of it once everyday work takes over. Priorities spread across teams, reporting arrives in cycles, and leadership may discover only weeks later that execution has drifted from the plan. Helsinki-based STRGY AI is building around that blind spot, turning strategy from a periodic […]
New York-based Axle is trying to make insurance behave less like paperwork and more like infrastructure. Mortgage lenders, rental companies, auto dealers, and employers depend on policy information every day, yet verifying coverage can still mean navigating carrier portals, reading documents, or making repeated phone calls. Axle is building an AI-native clearinghouse designed to make […]
Copenhagen-based Palette is building an operating system for companies beginning to work with several AI agents at once. Its premise comes from a practical weakness in today’s AI stack: models can improve quickly, yet they still arrive without the accumulated understanding of a company’s projects, decisions, responsibilities, files, and working habits. Palette wants that organizational […]
New York-based Echovane is building an AI-led market research service designed to take companies from an initial business question to completed consumer insight. Instead of leaving research teams to coordinate separate tools for recruitment, interviews, observations and analysis, the startup is trying to bring more of that work into a single research process. Echovane has […]
AI agents can build software faster than ever. The harder part is giving them the infrastructure to set up and operate a real business without stitching together dozens of services manually. Naïve has raised $28.5 million in Series A funding, led by Nexus Venture Partners. Y Combinator, Zetta, Liquid 2, and angel investors including Gokul […]
Companies are moving quickly toward AI agents. Their employees are far less convinced that the organization is ready. 60% of AI decision-makers say their company is prepared to deploy AI agents. Only 36% of AI users agree. That 24-point gap is one of the clearest findings in Notion’s The Great Renovation report. It shows how […]