We've spent years building and leading data and ops teams at fast-moving SaaS startups. Every time, we ran into the same problem: data was scattered across tools, hard to govern, and nearly impossible to make safely usable by everyone who needed it.
Now with AI agents, that problem has only grown. Agents are great at reading docs and websites, but letting them loose on your internal databases is risky. Teams either block agents entirely or take shortcuts that compromise governance and trust.
We started Pylar to fix this. Our belief is simple: companies should be able to give agents the power of structured data without giving up control. With Pylar, you define governed data views, turn them into custom MCP tools, and publish them to any agent builder. That means your agents can actually work with your internal data—securely, consistently, and at scale—while you stay in control through evals and guardrails.
This is the problem we faced ourselves. Pylar is the solution we wished we had.
— Hoshang & Vishal