What we actually do...
We take AI systems that work in demos and get them running in production. No strategy decks, no hand-offs, just engineers who've seen what breaks at scale and know how to fix it.
Pilots don't scare us. Production does.
Most teams can get a model working in a notebook. We specialize in the hard part, getting it serving real traffic with monitoring, rollback, and eval harnesses in place.
Your data pipeline is lying to your model.
Silent data drift, broken ingestion, schema drift — these kill prod AI systems quietly. We fix the data layer before it poisons your predictions.
MLOps without the bloat.
Experiment tracking, model registry, deployment pipelines, and alerting — built on your existing cloud infrastructure, not a vendor platform you'll be stuck with.
RAG that works under load.
We optimize vector DB config, chunking strategy, and retrieval pipelines for the metrics that matter: answer relevance, latency, and cost per query.
