AIArchitecture
The six-layer AI stack we ship to production
MVP Development Services·
Ingestion, foundation models, retrieval, agents, guardrails, and observability — the architecture behind AI features that survive real users.
From demo to production
A demo prompt chain and a production AI feature are different animals. Ours ship on a six-layer stack:
- Data & ingestion — chunk, embed, vectorize
- Foundation models — routing across providers
- RAG & retrieval — grounded, reranked answers
- Agents & tools — multi-step reasoning
- Guardrails & eval — injection defense, hallucination checks
- Deploy & observe — streaming APIs, cost telemetry
Every layer is instrumented so the system holds up under load, not just under a screenshot.