Most AI teams do not fail because the model is “bad.” They fail because something goes wrong in the real world, and nobody can clearly explain what happened, who knew, what they did, and when they did it. That is what incident reporting is for. If you are building AI or robotics, you are shipping […]
Incident Reporting for AI: Triggers, Timelines, Templates Read More »
Most founders I meet are not trying to “move fast and break things.” They are trying to ship something real—into hospitals, factories, banks, schools, or government systems—without getting blocked by legal, security, or trust reviews. That is where model cards and system cards earn their keep. Think of them as the plain-language “truth document” for
Model Cards and System Cards for Real-World Compliance Read More »
Bias testing used to be something teams talked about “later.” After launch. After growth. After the first big customer. That is not how it works anymore. If you build AI that touches hiring, lending, insurance, health, education, safety, public services, or even basic customer support, people will ask the same hard question early: “How do
Bias Testing That Regulators and Buyers Expect Read More »
Collaborative robots, or “cobots,” are no longer a small pilot project in a corner of the factory. They are on real floors, in real warehouses, next to real people, moving real product. And that is where the hard part begins. Because the promise sounds simple: let robots and humans work side by side, safely, so
Collaborative Robots: Safe HRI Without Slowing Delivery Read More »
Most small AI teams do not fail because the model is “bad.” They fail because simple decisions get made in a messy way. Someone trains on the wrong data. Someone ships a feature without a clear test. A customer asks, “How do you know it’s safe?” and the team has no calm answer. AI governance
AI Governance for Small Teams: Roles and Routines Read More »
Most carriers first tried generative AI (GenAI) to save time: summarize emails, draft letters, clean up notes. Useful, but small. The real shift now is different. Leaders are using GenAI to pick risks better, price faster, package products smarter, and deepen MGA–carrier partnerships. That is a competitive edge, not just a cost cut. This guide
GenAI in Insurance: From Cost Saver to Competitive Edge Read More »
Tran.vc invests $50,000 at the pre-seed stage to empower AI, software, and robotics startups. We help technical founders build strong IP moats, raise seed funding, and grow without relying on endless capital. Focused on speed, innovation, and ownership, we back the builders shaping the future with AI.
