We build cited, production-ready AI assistants for teams drowning in SOPs, manuals, policies, and internal documentation. No slide decks — we write the code.
Teams where knowledge is trapped in documents and expert time is expensive
Pharma, medical device, and manufacturing teams navigating complex compliance documentation.
Teams managing SOPs, work instructions, and quality systems where consistent answers matter.
Engineering and support teams with large manuals, specs, and runbooks that are hard to search.
Organizations where critical knowledge lives in documents and experienced people's heads.
A clear path from first conversation to production system
2-3 weeks, fixed fee
We assess your documents, workflows, and use cases to determine the best path forward.
4-8 weeks, fixed scope
We build a working system for one use case, one document corpus, and one team with measurable success criteria.
Your choice
We deploy to production and hand off completely — or stay on to optimize and expand. Your team, your call.
No slide decks, no hand-offs. We build production systems and deploy them. Strategy firms advise — we deliver working software.
Our systems enforce citation at the architecture level. Users see exactly which document, section, and page informed every answer.
Logging, confidence scoring, evaluation suites, and audit trails. Designed for teams where mistakes are expensive and provenance matters.
See Our Approach in Action
We built a production AI assistant that answers questions about the Rules of Golf using the official USGA rulebook. Every answer cites specific rules and sections — no hallucinations, no guessing.
This is the same architecture we use for client projects: retrieval-augmented generation with citation enforcement, source transparency, and production-grade reliability. Try it yourself.
Try the Live DemoUnder Rule 17.1, when your ball is in a penalty area, you have several relief options...
Sources: Rule 17.1d, Rule 17.2, Definition of "Penalty Area"
Practical perspectives on document AI and production systems
Most agent frameworks hide what's happening inside. Agent Arena makes everything visible — tools, memory, decisions, failures. Here's how we remove the magic.
Agent Arena runs on Godot, a real game engine. Here's why we made that choice — and why deterministic simulation is essential for learning agentic AI.
Agent Arena's learning loop isn't just how agents work — it's how you learn to build them. Here's the cycle that builds real agent intuition.
Tell us what's slowing your team down. We'll give you an honest take on whether AI can help — no pitch, no pressure.
Describe Your Challenge