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Ship AI features your users actually use.

AI Integration & LLM Engineering

RAG systems, agent workflows, LLM-powered internal tools, and AI features built into your product. We handle the full pipeline: retrieval, prompting, evals, cost optimization, and production monitoring. Claude, Gemini, OpenAI, open-source models.

ClaudeOpenAIGeminiRAGpgvectorPython

What you get

RAG systems grounded in your product data with permission-aware retrieval

Agent workflows that do real work, not just generate text

Evals, cost optimization, and production monitoring baked in from day one

FAQ

How fast can you ship an AI feature?
Most first versions ship in under six weeks. Complex features with evals and cost constraints take eight to twelve.
Can you connect AI to our private data?
Yes. We build retrieval pipelines with permission-aware access so responses stay within what each user is allowed to see.
How do you keep LLM costs under control?
Caching, model routing, prompt compression, and strict token budgets per call. We measure cost per request and optimize until it is shippable at scale.

Add the capacity
you're missing.

A 30 minute call with an engineer who would actually build it. No deck, just your roadmap and what we would ship first.

See our work