AI systems built to run in production.
We build LLM and ML systems the whole way — retrieval, fine-tuning, agents, and inference services — with the evaluation, guardrails, and observability that keep them working long after the prototype.
Book a call[ MEASURED, NOT ASSUMED ]
Every change to the pipeline is a number, not a hunch.
We wire an evaluation harness around the model from day one — retrieval quality, output accuracy, latency, and cost — so we only ship a change once the harness shows it actually moved the metric.
Read how we measure[ WHAT WE BUILD ]
Retrieval pipelines
We build the RAG and data plumbing behind the model — chunking, embeddings, indexing, and re-ranking — tuned against a gold set so retrieval quality is a measured number.
Inference & serving
Fine-tuned or hosted models wrapped in inference services that hold a real latency and cost budget under production load — not just a notebook that ran once.
Guardrails & observability
Guardrails, tracing, and eval suites ship with the system, so you can see what every call does and trust it to hold when the inputs get strange.
From prototype to production. Measured, and yours to keep.
Book a call[ SERVICES ]
[ COMPANY ]