For SaaS product and engineering teams: Drop in an in-app assistant that sees the page, the account, and the session, then gets real work done by writing code instead of chaining brittle tool calls.
Why it keeps getting better
Every conversation teaches it something. Urai's skill extractor turns those learnings into new Skills for you, so next time the agent finishes in one step what took exploration the first time. A fixed set of MCP tools can't do that; it only improves when someone else ships a better model.
Use: agents solve real problems
Extract: a new Skill is written for you
Reuse: every agent is now better
Build the assistant once with its knowledge, skills, tools, and credentials. Then embed it in your product, or use it directly in the Urai workspace. Same engine either way: serverless runtime, secure code execution, grounded knowledge, and 100+ integrations.
In-App Assistant
Drop in a script tag or the React / Vue / Svelte SDK. Pass the logged-in user through, and the assistant answers and acts inside your product, in your brand and on your domain.
AI Workspace
The same assistant in a full workspace, with threads, projects, knowledge, and skills. Chat with it and watch it build real things via code actions, or reach your systems by voice.
"What we appreciate most about Urai is the team's availability, openness, and transparency. Their approach to building AI services is particularly thoughtful and innovative."
"It's been a game-changer. Our team finally has one place to ask, search, and act, instead of bouncing between five tools."