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.
100%
PHI classification across HL7 v2, FHIR, free text
<5min
OCR audit response with full evidence trail
8×
faster cohort definition iteration
$3.4M
typical Y1 savings on a $10M data ops budget
What goes live in the first 90 days.
Not a wishlist. A delivery schedule. Each use case pairs to a deployed module, a policy pack, and a measurable outcome.
Audit-ready by architecture, not by checklist.
Each module is policy-as-code. Audit packs generate themselves on demand. Regulator review takes hours, not weeks.
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.
What buyers are saying off the record.
We need a data platform that classifies PHI on the way in, generates audit packs on the way out, and lets our analysts work at the speed of clinical questions. Eisberg is the first one we've seen that does all three.
VP, Clinical Analytics
Top-20 US Health System (under NDA)
Integrations that matter for your industry.
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.