Internal tools, without the build
Describe the tool your team needs. It builds and runs it.
Synthonic turns a plain-language description into a real internal app — database, interface, and an AI that operates it — live at a URL from your first message. No React. No Go. No infra.
synthonic.app/start
- ▸ schema.js data
- ▸ views/pipeline.json ui
- ▸ agent/policy.json rules
- ▸ agent/instructions.md ai
interprets it
New
Qualified
Won
Every team runs on tools that don't exist yet — the tracker, the intake form, the little CRM. Today that means a backlog no engineer gets to, or a spreadsheet everyone quietly outgrows. Synthonic makes describing it enough.
How it works
Three steps, and you skip all the software.
You talk to a coding agent. The agent writes a small folder of data — not code. Synthonic interprets that folder into a live app and hands an AI the keys to run it.
Describe it
Tell your agent what you need — "a pipeline for my deals," "an intake form for facilities requests." It proposes a concrete first cut, already seeded with example data.
It becomes a real app
Schema, views, permissions, and an AI persona — written as a folder of data. One generic engine turns it into a database and interface. Nobody writes React or Go.
It's live, and an AI runs it
You get a URL from turn one — share the draft, promote to production for coworkers. An AI operates the data through the same app, gated by rules you set.
Why it's different
The app is data — not a codebase you inherit.
Because every app is the same kind of thing — a folder a generic engine reads — building, changing, and operating it stays effortless long after the first version ships.
Live from turn one no localhost
There's no "run it on your machine" step for a non-developer to reason about. You build, it's hosted, here's the link — draft to production on the same folder.
An AI operator, not just a builder /mcp
Every app exposes a governed interface an AI can drive — create, update, read — bounded by a default-deny policy. The tool doesn't just get built by AI; it's run by one.
Changing it is cheap reconcile
Edit the folder, redeploy. Presentation and additive changes are instant; your production data is snapshotted before every change. Iteration doesn't accrue debt.
Solo grows into a team one folder
Start with a tool for yourself. When coworkers should use it too, only auth and who-can-reach-it change — same app, same data, no rebuild.
Live demo
A sales pipeline, running as a folder of data.
The same sales/ folder shown above, deployed and interpreted live — a drag-to-move pipeline, opportunities, and companies, with an AI that can read and update every record.
Stop waiting on the tool you need.
We're onboarding early teams now. Tell us what you'd build first.