We build LLM-powered systems, retrieval pipelines, and machine learning workflows that solve actual business problems — not chatbot demos. From research to production, with the engineering rigor your AI deserves.
Production-ready retrieval-augmented generation pipelines, vector search, embeddings infrastructure, and prompt engineering — all with monitoring, evaluation, and cost controls baked in.
Multi-step AI agents that plan, call tools, and reason over your data. Built with proper guardrails, observability, and human-in-the-loop checkpoints for high-stakes operations.
Classification, recommendation, fraud detection, computer vision — when off-the-shelf APIs aren't enough, we train, deploy, and serve custom models with the right infrastructure for your scale.
Deep integrations with OpenAI, Anthropic, Google, and open-source models into your existing software. We handle the streaming, retries, fallbacks, and the boring parts that production needs.
You can't improve what you can't measure. We build evaluation pipelines, golden datasets, and offline+online metrics so you actually know whether your AI is getting better — or worse.
Model serving, version control, A/B testing, rollback strategies, and cost optimization. The infrastructure that keeps AI products reliable in production.
You built a working prototype, but latency, cost, hallucinations, or reliability are blocking real-world rollout. We turn AI prototypes into production systems.
PDFs, support tickets, contracts, emails — sitting in a bucket somewhere. We build retrieval and analysis systems that turn that data into product features.
Smart search, summarization, autocomplete, copilot features — done well. We integrate AI into existing codebases without rewriting the universe.