The independent privacy layer
for AI.
AI runs on real-world data. Integral transforms real-world data into compliant, AI-ready data assets.
Trusted by healthcare
and data teams
























For AI Builders
You need real-world data to build on. Integral assesses and engineers sensitive data so it arrives training-ready — fast, defensible, and documented.
ExploreFor Data Collaborators
You hold valuable sensitive data. Make it usable for AI without taking on the risk. Integral's independent privacy layer means you keep control while expanding utility.
ExploreData lifecycle
Source
Identify and align on sensitive data assets.
Every engagement is scoped to the dataset, the intended use, and the recipient — no blanket determinations across unrelated data. Integral deploys wherever your data already lives, including directly in Databricks.
In this table, two of the five fields hold sensitive values.
Deployment optionsAssess
Independent assessment of re-identification risk.
Qualified experts assess re-identification risk and produce a signed, defensible opinion. The platform automates the heaviest parts of the workflow, so most engagements reach a signed determination in days.
Three cells hold values rare enough, together, to point to one person.
Expert DeterminationEngineer
Signal-preserving privacy remediation.
Remediation is targeted to actual risk and calibrated to the analytical or training objective, instead of blunt anonymization. Every option is shown with its privacy impact and utility metrics, so you choose the tradeoff that fits.
Only those cells are generalized. Everything else keeps its full detail.
Remediation PreviewDeliver
Audit-ready data with documentation that travels.
Every dataset ships with an evidence package: what was assessed, how it was remediated, what utility was preserved, and the methodology behind it. It is built for buyer procurement and regulatory review.
The table leaves with a record of what changed and why.
Enterprise Data SanitizationRe-assess
Continuous monitoring as data and context evolve.
As datasets change or new use cases emerge, re-assessment keeps the determination current, and every pass is logged with full provenance. When new risk appears, targeted remediation can be applied automatically.
New records arrive, and the assessment runs again.
Continuous Re-Assessment
In this table, two of the five fields hold sensitive values.
Three cells hold values rare enough, together, to point to one person.
Only those cells are generalized. Everything else keeps its full detail.
The table leaves with a record of what changed and why.
New records arrive, and the assessment runs again.
- Re-identification risk
- Generalized
Data types we process
Healthcare & clinical records
Claims, EHR extracts, lab results, patient registries — assessed and remediated so sensitive healthcare data flows into analytics and AI pipelines with documented defensibility.
Behavioral & consumer data
Browsing patterns, purchase histories, location traces, ad-tech signals — signal-preserving remediation keeps the training value while managing re-identification risk.
Enterprise & operational data
Supply-chain records, HR datasets, financial transactions, CRM exports — continuous assessment keeps the documentation current as data moves and context evolves.
Capabilities
Data utility preserved
Analytical value retained after privacy remediation — measured, not assumed.
Records processed
Entities assessed and remediated across client datasets.
Qualified expert sign-off
Every determination is supported by a qualified expert who signs off on the methodology and results. Examination-ready from day one.
Documentation that travels with data
Audit-ready documentation, monitoring timeline, and field-level retention tracking. Every decision logged and traceable.
Real-world data, de-identified upstream
Integral assesses re-identification risk through qualified Expert Determination, engineers privacy remediation that preserves analytical value, and documents every decision for downstream examination.
Defensible privacy assessments
Signed, scoped opinions from qualified statistical experts grounded in HIPAA methodology. The highest standard of defensibility.








