Services

Every engagement is staffed with senior engineers and billed hourly as time & materials — as a scoped project or as staff augmentation inside your team. Scope, staffing, and timeline are agreed through an initial conversation, and every engagement ends with your team able to run what we built.

LLM App Review

A structured audit of an existing LLM application: architecture, prompt inventory, retrieval quality, cost and latency profile, and a failure-mode inventory. You get a written report with a prioritized hardening plan your team can execute — with or without us.

RAG & Agent Build

Design and build retrieval pipelines and agent workflows: chunking that fits your documents, embeddings and hybrid search, reranking, LangGraph state machines with checkpointing and human-in-the-loop steps, and structured-output extraction.

Evaluation & Observability

Offline eval suites built from your real traffic, LangSmith tracing and dataset curation, regression harnesses wired into CI, and guardrail patterns tied to failure modes you have actually observed — not hypothetical ones.

Production Hardening

The work between "it answers correctly" and "it runs dependably at a cost you can live with": caching, model routing, fallback chains, streaming, versioned prompt management — and framework-exit refactors when LangChain is the wrong layer for part of your stack.

If you are not sure which of these fits, describe the problem and we will tell you — including when the honest answer is that you do not need us.