Documents are scattered across drives. Knowledge lives in Slack threads. Repetitive work piles up faster than anyone has time to automate it.
Boards demand AI-driven productivity. IT demands security. Finance demands cost control. Meanwhile the team is stitching tools together by hand.
The promise of AI is real. The delivery has been a mess.
AI hallucinates or sends people back on scavenger hunts because it can't see the whole picture.
Most AI tools stop at suggestions. They don't do the work; they describe it.
Every team standardizes on a different AI tool. No shared workspace. No shared skills. No leverage.
One workspace where chat, search, and automation share the same context, the same security boundary, and the same audit trail.
Switch models mid-conversation, fork threads to explore, build agents once and share them across the org.
DocSearch combines vector and keyword retrieval. Grounded answers, with cited chunks from your own data.
Writes code and securely executes it inside the platform. Self-corrects, retries, replaces fragile reasoning chains.
A standard reasoning agent thinks through every step in tokens. Urai's coding agent writes a tiny program and runs it once, deterministically.
Standard reasoning agent
Urai (multi-agent + code synthesis)
Time per execution
Token cost
3x faster. 10x cheaper. And reliable enough that the workflow doesn't need a human to babysit.
Coding agent writes code and runs it in a fresh sandbox per task. 2-second cold boot. No persistent state between executions.
Serverless runtime with sandboxed network and file access. Secrets encrypted at rest with AES-256. No arbitrary code on your infra.
DocSearch is grounded in your tenant. Every answer cites the chunks it drew from. Permissions tied to your identity provider.
One searchable workspace across documents, drives, and shared notes. No more re-finding what someone already wrote.
Skills wrap the workflows your team does every week, pulled together in a library you can reuse and share.
The coding agent finishes what reasoning agents start: actual updates, actual reports, actual changes in your systems.
Projects, forking, and shared agents replace the dozens of private AI sessions nobody else can see.
"It's been a game-changer. Our team finally has one place to ask, search, and act, instead of bouncing between five tools."
"Their approach to building AI services is particularly thoughtful and innovative. It genuinely feels like we're helping shape the product as it evolves."
Week 1
Tenant provisioned, SSO wired up, first document set indexed in DocSearch. Pick one team to lead.
Weeks 2–4
Translate three repetitive workflows into reusable skills. Shared agents live in the team workspace.
Month 2+
Roll out to neighbouring teams. Knowledge compounds. Skills library grows. Cost per task keeps dropping.