I didn't set out to build what Stratalize turned into! I started with one idea: give AI the full context to actually be useful to a company. Internal data, market signals, live numbers. The complete picture that makes an answer worth acting on. Then I realized one piece wasn't enough. The moment you give AI broad access to a company's data, you've created a problem nobody had solved. Who's allowed to see what. What was used. Who authorized it. So I built that too. Permissioned access for every person, every answer generated live, data discarded immediately, every input and output signed and independently verifiable. I thought I was done. Then agents stopped just answering questions and started transacting, calling tools, moving money, acting for the business. And the systems companies already run were never built to be reached by an agent, let alone trusted to act through one. That's when it clicked. You can't do this halfway. To actually join the agent economy and have enterprises trust it, you have to build the whole thing. The context, the governance, and the bridge that lets agents transact through real systems with a receipt for every move. Who was allowed, what was paid, what was returned. Proof that holds up to anyone who asks. So that's what Stratalize is. The whole layer, not one piece of it. It's live today on Base, and works with Claude, ChatGPT, Gemini, or any MCP agent. I'd genuinely love feedback from anyone building agents or dealing with this same problems.

Stratalize

The bridge between enterprise data and the agent economy

The bridge between enterprise data and the agent economy