From document intelligence to operational diagnostics, we build production AI systems, host them, and manage them — so your team uses the tool, not operates it.
We combine hands-on AI engineering with the perspective of a former technology executive — so the systems we build are designed for operational reality, not AI theater.
Teams where critical knowledge is trapped in documents, data systems, or experts' heads
Pharma, medical device, and manufacturing teams navigating complex compliance documentation.
Teams managing SOPs, work instructions, and quality systems where consistent answers matter.
Teams diagnosing equipment issues from telemetry, event logs, and operational data — where faster diagnosis means fewer site visits.
Organizations where critical knowledge lives in documents, data systems, and experienced people's heads.
A clear path from first conversation to a managed solution
2-3 weeks, fixed fee
We assess your documents, workflows, and use cases. You get a clear recommendation — build, buy, or wait — with an ROI case.
4-8 weeks, fixed scope
We build a working system for one use case, one document corpus, and one team with measurable success criteria.
Ongoing monthly
We host it, monitor it, support it, and improve it. You use it. Teams with internal AI ops capability can opt for full handoff instead.
We don't just build your system and leave. We host, monitor, and support it so your team focuses on the workflow, not on becoming an AI operations team.
Our systems enforce evidence at the architecture level — whether that's citing a document section or referencing specific events from an equipment log.
Logging, confidence scoring, evaluation suites, and audit trails. Designed for teams where mistakes are expensive and provenance matters.
Practical perspectives on production AI systems
Most automation efforts speed up broken processes instead of eliminating them. The highest-ROI automation isn't faster resolution — it's making the work disappear entirely.
Executives aren't saying no to AI. They're saying no to risk. Here's how to structure an AI project proposal that survives the approval conversation — starting at $25K, not $300K.
Most workflow improvement ideas die before they start — not because they're bad ideas, but because nobody can describe them clearly enough to act on. What if that bottleneck didn't have to exist?
Describe your business problem, and we'll shape a practical solution brief — the right mix of software, automation, and human review for your situation. It takes about 5 minutes.