For SaaS founders
Build AI-native products, without six months of plumbing.
Why it stalls
What every team hits after the first demo.
Useful agents need real data. We keep them inside your permission model.
One customer can blow the AI bill. We tell you which one.
When your customers ask where the model runs, the answer is the EU.
A spinner is not a feature. We show what the agent is actually doing.
Almost every agent needs a vector store. We automatically chunk, index, sync and scope your data to your tenants.
A second tool stack is the trap. Re-use your existing MCP to take your agent to the next level.
The solution
Stop shipping a chatbot. Ship agents that can actually do the work. Users can ask questions of their own data, pull fields out of an upload, export custom files, summarize a contract or a ticket thread, get a copilot that can act in the product, and talk to an assistant that stays on their files. All of that ships through Fency.