Solutions / 03 — Backend Systems
The quiet layer
your AI runs on.
What's included
Prototype to production, end to end.
The pieces that turn a clever notebook into a service your customers can rely on.
API development
Clean, versioned FastAPI services with validation, auto-generated docs, and service boundaries that evolve safely. Built to be read and changed by other engineers — including future you.
Auth & security
RBAC, multi-tenancy, secret handling, rate limiting, audit logging. The boring controls that turn out to matter the moment you sign your first enterprise customer.
Data & observability
Postgres data modeling, async jobs, Redis caching, structured logging, and metrics/tracing for both classic requests and LLM/tool flows. So when something breaks, you find it.
The stack
Boring tech, on purpose.
We pick proven primitives and let the AI be the new thing in the architecture.
Python · FastAPI
Async services with strong typing and testable boundaries. Plays nicely with the rest of the AI ecosystem.
Postgres · Redis
Postgres for the truth. Redis for the speed. Vector search where it earns its place — not by default.
Observability built-in
Tracing for LLM flows, structured logs, usage telemetry, and the metrics on-call actually looks at.
Next step
Working notebook, no backend yet?
We'll wrap it in the production layer it needs — and only the production layer it needs.