We engineer predictable, production-grade AI pipelines wired directly into your existing systems — not open-ended autonomous agents that loop, wander, or hallucinate. Every step is a defined state, every output is validated before it lands.
Predictable agent loops built as custom TypeScript / LangGraph architectures — explicit states, explicit transitions, explicit exit conditions. Not open-ended autonomous agents prone to unbounded loops or hallucinated next steps.
We catalog a company's successful legacy wins and feed precise style guidelines and structural templates straight into the model's context window, so every output inherits the standard your best work already set.
Zod or Pydantic data layers guarantee outputs stay uniformly structured. Malformed or drifted generations are filtered out before they ever reach a downstream system, a reviewer, or a record.
Teams integrating AI execution chains into existing systems of record — ERPs, CRMs, Salesforce, Deltek, or local file servers. If the requirement is a pipeline that behaves the same way on the ten-thousandth run as it did on the first, this is the engagement.
Bring your systems of record and your failure cases. We'll map the state machine before we write a line of production code.