AI
LLM-ready, but pragmatic.
We reserve space for AI projects without hype. When the product requires it, we ship systems that are testable, observable, and safe.
Where we add value
Product framing
Define what the model should do, what it must not do, and how we measure success.
Tooling and retrieval
RAG that’s grounded in your data with clear provenance, caching, and fallbacks.
Eval-driven iteration
Golden sets, automated regressions, and release discipline as prompts evolve.
Safety and privacy
Minimize sensitive data exposure; document retention and deletion; implement human-in-the-loop where needed.