Custom AI software, shipped — not just prototyped.

The common thread is that these are production systems, not demos. They get versioned, monitored, documented, and handed over — the same rigor we would apply to any other piece of software that a business depends on.

• LLM integrations & AI agents — systems that take action, not just answer.
• MCP servers & tool integrations — giving models controlled access to your real tools and data.
• RAG & knowledge assistants — answers grounded in your documents, with citations.
• AI features in existing products — added to what you already ship.

We scope the first increment deliberately small so it reaches production early and you can react to something real, rather than waiting through a long silence that ends in a reveal. Each sprint ends with something you can look at and redirect.

Lock-in is usually accidental — undocumented systems, credentials nobody else has, architecture only one team understands. We treat handover as part of the build rather than an afterthought, so bringing the work in-house or moving it to another team stays a decision you can make.