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AI Systems

We build AI systems that hold up in production — with tests, guardrails, and rigorous evaluation. Not just a notebook that wins a demo.

Demos are easy. Production is hard.

Latency, hallucinations, cost control, security, observability — these are what determine whether an AI feature actually creates value. We treat them as first-class.

01

Agentic architectures

Multi-step agents with tools, memory, and planning — orchestrated robustly, not duct-taped together.

02

Retrieval & embeddings

RAG pipelines with sane chunking, hybrid search, and re-ranking. Traceable, evaluable.

03

Evaluation & guardrails

Eval harnesses that catch regressions early. Guardrails for hallucination, PII, and policy compliance.

04

LLM ops in production

Caching, cost tracking, model routing, observability across every token.

How we deliver quality

Clear scopes, short iterations, eval harnesses instead of hope — and a founder in every review.

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