Each implementation is purpose-built for a vertical where the cost of a wrong answer is asymmetrically high. Deployed in your infrastructure. Governed, constrained, and operator-controlled from inception—not patched in afterward.
On-prem pipeline: chart PDF ingestion with native + OCR extraction, ICD-10 detection with negation handling, CMS-HCC mapping per payment year, MEAT evidence with page/offset provenance. Flags ambiguity; never guesses.
Governed, operator-controlled research systems for systematic financial research—on-prem, evidence-grounded, and built for full operator control. Not financial advice. No execution.
API integration with a .NET intermediary service and Excel dashboard: real-time contractor hours, project burn rates, and budget visibility for ops and finance teams—running in your environment.
Discuss your workflow →Provenance, constraint-driven automation, review gates, shadow mode, and regression-safe evaluation packs are architecture decisions—not add-ons. Read our governance framework →
Tell us your domain and constraints. We'll discuss deployment approach, integration patterns, and what governed automation looks like for your context.