HIPAA-native, HL7/FHIR fluent, autonomous on day one.
Patient data that classifies itself. Quality rules that auto-generate from FHIR profiles. Audit trails the OCR can verify in minutes, not weeks. Built for the velocity that clinical research and value-based care actually require.
What’s achievable — measured against your real workload
100%
PHI classification across HL7 v2, FHIR, free text — target
<5min
OCR audit response with full evidence trail — target
0
PHI copies — classified and governed in place, in your bucket
$3.4M
modeled Y1 savings on a $10M data ops budget
What we target in the first 90 days.
Scoped with you in the pilot, sequenced by what gates your sign-off. Each use case pairs to platform primitives, a policy pack, and a measurable outcome — items marked roadmap are built into pilot scope, not sold as shipped.
Audit-ready by architecture, not by checklist.
The frameworks below are the compliance-module roadmap — packs built as policy-as-code with design partners, not certifications we hold today. What is live now: the tamper-evident, HMAC-chained audit trail and enforced masking + row-level security every module builds on.
HIPAA
PHI handling, BAA execution, breach notification
HITECH
Audit log immutability and access controls
21 CFR Part 11
Electronic records and signatures
GxP
GCP / GLP / GMP data integrity for trials and manufacturing
GDPR + state privacy
Cross-border PHI handling, right to delete
OCR audit response
Evidence packs in minutes, not weeks
The buyers who feel this pain on day one.
The systems that matter for your industry.
Some of these connect natively today, some via federated reads, and some are built through the Connector SDK as part of pilot scope — see the roadmap for the honest per-connector tally.
Run a demo on your healthcare & life sciences data.
We will spin up a private workspace, point it at a sample of your real workload, and show you autonomous classification, agents executing approved actions, and a side-by-side cost compare in under 30 minutes.