Work with senior AI Development engineers.
AI features that ship — not demos that impress in a meeting and break in production.
We build AI into products every week. LLM assistants, retrieval-augmented search, classification pipelines, evaluation harnesses — we know the difference between the part of AI that works and the part that still needs a human in the loop.
The bar we hold ourselves to.
Production ML, not notebooks
Every AI feature we ship has evaluation pipelines, observability, and a rollback plan. Demo quality is not our finish line.
Model-agnostic
OpenAI, Anthropic, Gemini, open-weights — we pick the model that fits the workload and know when to switch.
Honest about limits
We'll tell you when AI isn't the right tool. The worst outcome is an AI feature that makes the product worse.
AI Development work, shipped.
LLM applications
Claude and GPT-powered assistants with proper retrieval, tool use, streaming, and caching. Built to scale, not to demo.
Retrieval & search
Vector search with pgvector, Pinecone, or Weaviate, hybrid BM25+embedding rankers, and evaluation harnesses that catch quality drift.
ML classification
Custom classification and extraction models for document processing, content moderation, and data routing.
Evaluation & ops
LLM eval pipelines, model regression detection, and the observability to know when your AI is quietly degrading.
Inside our AI Development practice.
Adjacent work we take on.
Ready to get started with AI Development? Fifteen minutes is all it takes.
