We build software & back ventures.

AI, in production.

Most "AI" never makes it past a demo. We build the parts that do — production LLM features wired into real products, retrieval grounded in your own data, and the evaluation, guardrails, and observability that keep them accurate, fast, and affordable at scale. We've shipped these systems ourselves, including the AI core of Nuclicore — not just prototyped them.

• LLM features & RAG

  Retrieval-augmented generation over your own data — document chunking, embeddings, and vector search tuned for relevance and grounded answers, not a thin wrapper around a model API.

• Agentic workflows

  Tool-using agents and multi-step automations with the retries, guardrails, and human-in-the-loop checkpoints that make them safe to run unattended.

• AI product engineering

  Streaming interfaces, prompt and context management, structured/typed outputs, and graceful fallbacks — built into the product, not bolted on after.

• Evaluation & observability

  Eval suites, tracing, and cost/latency monitoring so model and prompt changes are measured, regressions get caught, and token spend stays predictable.