Custom LLM Engineering
LLM features that are useful and safe.
Production LLM features with RAG, agents, evaluation harnesses, and guardrails dependable beyond the demo stage.
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We build production LLM features retrieval, agents, and structured outputs with evaluation and guardrails so they're dependable, not just impressive in a demo.
AI projects include evaluation datasets, model performance baselines, and monitoring dashboards before features reach production users.
Engagements begin with a structured discovery phase where we map your current architecture, constraints, regulatory requirements, and success metrics. We then propose a phased delivery plan with clear milestones, security checkpoints, and handover documentation so your team retains full ownership of the platform.
Our approach
AI projects include evaluation datasets, model performance baselines, and monitoring dashboards before features reach production users.

