We help mid-market and enterprise teams design, build, and deploy production-grade AI systems. Former FAANG and research-lab engineers, deliberately small team, clear-eyed about where AI helps and where it hurts.
RAG systems, agentic workflows, and custom copilots — wrapped in the guardrails, evaluations, and observability real production demands.
Classical and deep-learning models for forecasting, recommendation, anomaly detection, and pricing — with honest baselines and post-ship monitoring.
Edge and cloud vision for industrial inspection, medical imaging, and document understanding. We ship models you can actually deploy, measure, and trust.
Feature stores, training pipelines, model registries, online/offline eval. The plumbing that decides whether your 50th model ships as easily as your first.
Shipped a vision inspection pipeline on the factory floor — 12 lines, 4 sites, edge-deployed. Paid back capex in 7 months.
$4.2M annual savingsBuilt a RAG-grounded copilot on 180k historical tickets. 43% auto-resolve, 2.3x faster agent response, <1% hallucination rate after guardrails.
58% deflection of tier-1Replaced a 9-year-old rule-based system with a gradient-boosted model and a shadow-deployed eval harness. 34% fewer false positives, 11% more caught fraud.
$9.1M fraud prevented / yr2-week scoped engagement. We audit data, assess feasibility, and deliver a written ROI projection. Fixed fee. You own the output.
8–16 weeks. A small pod (2–4 engineers) ships a production-ready system to your infra. Weekly demos. Clear exit criteria.
We stay on for 3–12 months to monitor, retrain, and hand off to your team. Or we leave. Your call, at every gate.
A 45-minute discovery call with a principal engineer. We'll tell you honestly if AI is the right answer — and what it'd take to ship.
Book a Discovery Call