All expertise
AI & Data
AI Engineering
Production ML, RAG, and intelligent systems.
Capabilities
RAG & agent systemsModel evaluation & guardrailsMLOps & observabilityLLM migration
Discipline
AI & DataRelated
Overview
From proof to production. We build reliable AI systems — retrieval, evaluation, and observability included — that earn trust through measurable outcomes.
What we do
- RAG & agent systemsRetrieval architectures that ground models in your actual data — chunking, ranking, and tool-use designed for accuracy, not demos. Built to be measured and improved.
- Model evaluation & guardrailsOffline evals, online monitoring, and the guardrails that keep models inside their lane. We make quality a number you can track, not a feeling you defend in a review.
- MLOps & observabilityPipelines, registries, drift detection, and the runbooks that turn an ML deployment into an operated system. Shipping a model is the start; keeping it honest is the work.
- LLM migrationMoving between models without losing the behavior your product depends on — prompt and eval portability, cost and latency budgets, and a rollback path that isn't hope.