Fynso finds the money a business is losing, gets it back, and proves it.
The engine answers leads by voice and text the moment they arrive, books the appointments, chases what's owed, reads the books, and turns what a business knows into its next right move. Lead conversion earns the revenue. Client intelligence grows it. Financial intelligence protects it. One engine, from demand to cash.
Our bet: in a few years every company will have access to the same AI, and almost none of them will have the same people. When models commoditize, the advantage moves back to judgment, expertise, and the relationships a business has already earned. We build better businesses by making the people inside them matter more.
The product books real appointments for a real business today, and we are scaling what one location proved across a national franchise system. Because the engine acts on a business's behalf, it is built to prove what it did: every send carries a version receipt, outcomes live in an append-only ledger, and when the system is not sure, it stops instead of improvising. Money and customer relationships are on the line. Correctness, auditability, and reliability are features here, not chores.
Start inside the business. Build all the way through.
You go into the businesses we serve, learn how they run, and build what they need. Then the hard part: turning that one solved problem into a module every other business can buy. You work directly with the founders every day, in the codebase and in the field, not through layers of management. We are consolidating everything we have learned into one platform. The decisions being made right now are the ones the next several years get built on, and you would have real say in them.
Build across the whole system.
One TypeScript monorepo. Engineers move from the interface to the data model, agent runtime, integrations, and production infrastructure.
Own the outcome, not one layer.
- Sit with real operators, find where the money leaks, and build the thing that stops it.
- Take features end to end: data model, API, background work, interface, and production.
- Build the engine itself: the agents that call, text, draft, and follow up, and the approval controls that keep a business in charge of them.
- Connect the systems businesses already run on: CRMs, books, banks, and payments.
- Run it as a fleet: observability, alerting, per-location configuration.
- Help set the architecture and the engineering bar as the platform and the team grow.
Technical depth and customer judgment.
- Strong TypeScript across frontend and backend, proven in production.
- Real depth in React and Postgres. You own the data model, not just the interface.
- AI features people actually depend on, and the judgment to make a model behave when the output has consequences.
- Comfort in front of a customer. You can sit inside a business, understand how it operates, and translate that into software.
- The ability to take an ambiguous goal to a shipped, working feature without a spec.
Bonus: fintech or accounting, telephony and real-time audio, workflow engines, or deep third-party integration work.