Compliance AI for documents, claims, and review workflows.
Automate regulated document review, citation validation, MLR workflows, financial analysis, and audit-ready AI systems where hallucinations are unacceptable.
Regulated teams spend weeks moving documents through email, comments, version conflicts, and manual cross-checks. AI can help only if every answer is source-grounded and auditable.
Who it's for
- Pharma and healthcare teams with MLR or clinical document workflows
- Financial and RegTech teams that need deterministic calculations
- Enterprises processing large volumes of PDFs, claims, policies, or evidence packs
Outcome
A review workflow that extracts, validates, routes, and records decisions while keeping humans in control of regulated judgments.
How we approach it.
Separate language tasks from deterministic calculations
Extract claims, references, obligations, or financial rows with traceable sources
Route items through configurable human review workflows
Maintain audit logs, version history, and exception queues
What you walk away with.
Youradvantageisn'tthemodel.Soswapit.
Models improve every quarter. Systems built directly against one vendor rot just as fast. We build your IP behind an abstraction layer — try it yourself:
How your best people operate
Docs, context, tribal know-how
Thresholds, escalations, exceptions
How correctness is measured
Frontier reasoning
Not theoretical: we've shipped fully on-prem, sovereign AI in production — Prem AI and Mindbase run with zero data leaving the client perimeter.
Askourcomplianceresearchagent.
Watch a focused agent search public PMCPA cases, inspect rulings, cite its evidence, and flag where human judgment belongs.
Try a question from the public case sample:
Relevant production work.
Start small. Prove the system.
A Pilot Sprint gives you the workflow map, prototype, delivery plan, and risk picture before a larger commitment.
Book a Pilot Sprint