AI, from demo to production.
Tai42 takes AI into production — turning your working demo into a production application: deterministic where money moves, AI where judgment is needed, humans at the decisions you name. Live with real users in weeks, not quarters, against acceptance criteria you sign.
How it works
We rebuild your demo as a production application: deterministic flows wherever money, prices, or commitments move; AI wherever judgment is needed; humans at a named handful of decisions. Then we run it with you, measure everything, and hand you the controls.
- 1
Production readiness review (free).
From a walkthrough and, if you can share them, structural traces — no access, no data — we assess your demo, your definitions, and your integration surface.
- 2
Build.
Your system on our platform — deterministic where it must be, intelligent where it should be, instrumented everywhere.
- 3
Acceptance.
Pass/fail criteria you test yourself.
- 4
Run.
Your team operates it on a private tenant; we stay for the hard parts.
Three things, one company.
An open-source runtime — the engine, public, read it and run it. BabelDag, the platform built on that runtime — private tenants your team operates, where the engineering lives. And the engagements we deliver with it — your demo to a production application, humans at the decisions you name. We run our own company on all three. (→ About)
What we build
Customer-facing commerce applications on messaging channels — WhatsApp, Telegram, SMS, web. Internal operating systems in the tools your team already uses — Slack, Jira. Machine-facing products behind an MCP gateway. One engine behind all of them.
Why it works
Gates, not promises.
Phased delivery with written acceptance criteria and a stop-point at every phase. You can leave at any gate — which is exactly why clients don't.
Speed with receipts.
Weeks, not quarters — on our own platform, with every claim measured on live deliveries before we publish it.
The AI can't touch your money.
In our platform the AI has no tools — it writes and interprets; it cannot fetch data, quote a price, or take an action. Bookings, payments, and prices run as deterministic steps the model never sees. A wrong sentence stays a wrong sentence; it can't become a wrong charge.