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 […]
AI coding agents can write a function quickly. The harder engineering work begins when a task spans an entire repository, requires repeated testing and continues long enough for tools or sessions to fail. Meta is targeting that problem with Muse Code, a terminal-based coding agent released in beta alongside its new Muse Spark 1.2 model. […]
Equity analysts rarely struggle to find information. The harder problem is reviewing thousands of filings, earnings calls, market updates and company disclosures before the information loses its value. New York-based Pinegap has raised $8 million in Series A funding, led by Stellaris Venture Partners. Existing investors Inventus, Silicon Valley Quad and DeVC also participated. The […]
AI agents are moving from small workplace experiments into business systems where they can access data, use software, write code and take actions. That shift is creating a security problem that traditional chatbot controls were not designed to manage. Zenity has raised a $125 million Series C led by Norwest. New investors Qumra Capital, SoftBank […]

Enterprise voice agents can answer calls at scale, but delays, awkward interruptions and disconnected models still make many conversations feel automated. San Francisco-based Smallest.ai has raised a $13 million Series A, taking its total funding to more than $21 million. The round was led by Seligman Ventures, with participation from Sierra Ventures and 3one4 Capital. […]