We design, train, and deploy AI systems that solve real business problems — LLM applications, autonomous agents, RAG pipelines, computer vision, and custom ML models. Built to scale, monitored in production, engineered to last.
Every system we build follows the same architecture: understand context, reason through steps, take actions, and stream results in real-time. No black boxes. Full observability at every layer.
We build RAG pipelines that retrieve the right chunks every time — hybrid BM25 + vector search, contextual compression, re-ranking, and citation injection so every answer is grounded and auditable.
We're model-agnostic. We select the right model for your task, latency budget, and data privacy requirements — or run several in parallel with intelligent routing.
Transformative AI doesn't come from applying the same model to every problem. These are the use cases we've shipped — each with a different architecture chosen for the specific constraints.
A top-5 law firm needed paralegals to review 200-page contracts in minutes. We built a RAG system over their clause library, trained a risk classifier on 8 years of litigation outcomes, and delivered a copilot that flags anomalies with cited precedents. Review time dropped from 6 hours to 22 minutes.