Six practice areas. One team of senior engineers.
We don't staff projects with juniors learning on your budget. The engineer architecting your system is the one writing the code.
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LLM application development
Custom applications on GPT, Claude, Gemini, and open weights. Internal tools through customer-facing products.
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RAG and knowledge retrieval
Retrieval pipelines with vector stores, re-ranking, and the evaluation harness that proves they work.
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Agents and automation
Multi-agent systems that execute real workflows, not chatbots that answer questions.
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Fine-tuning and training
Domain adaptation, LoRA and QLoRA, and custom training where off-the-shelf falls short.
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Strategy and consulting
For leadership deciding where to invest, what to build against buy, and how to sequence it.
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MLOps and production deployment
CI/CD for models, monitoring, evaluation, cost control, and compliance. The work that separates a demo from a product.
Ready to move from AI experiments to AI in production?
Thirty minutes with a senior engineer. We assess the use case, name the risks, and tell you honestly whether we are the right fit.