Hosted AI infrastructure
Production-ready AI features. Hosted backend. White-label frontend.
Use cases
Open a live example, then follow the matching guide.
One prompt. The reply streams in as it is generated.
One prompt. The reply is a JSON object with a string, a boolean, and a number.
A multi-turn chat. Each reply streams in.
Paste free text and get a typed record back.
Upload a PDF and pull typed fields out of it.
Ask questions over a per-user catalog.
The solution
Fency is a hosted API and webapp SDK with ready-made features you can add to your product. It is fully whitelabel and built to enhance your product, not to become it. It does not dictate your UX, cost model, permission model, or how the product works. We only focus on solving the hard parts of integrating AI, so you can deliver more customer value, faster.
Why it stalls
What every team hits after the first demo.
Useful agents need real customer data. We give them access while keeping them inside your permission model.
One customer can blow the AI bill. We show you which tenant is driving it so you can act.
When your customers ask where the model runs, the answer is the EU, not a region you have to paper over.
A spinner is not a feature. We show what the agent is actually doing so users can follow the work.
Almost every agent needs a vector store. We chunk, index, sync, and scope your data to each tenant.
A second tool stack is the trap. Re-use your existing MCP to take the agent further without rebuilding tools.