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

Data lifecycle

  1. 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 options
  2. Assess

    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 Determination
  3. Engineer

    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 Preview
  4. Deliver

    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 Sanitization
  5. Re-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

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

94.2%

Data utility preserved

Analytical value retained after privacy remediation — measured, not assumed.

>1T

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.

Trusted by teams building on sensitive data

“Before Integral, compliance projects were a limiting factor. It would take months to get one done, and we still couldn't explain why certain decisions were made. Integral's approach is notably more creative and scalable than any other solution. Their operations process is very clean, which builds confidence with our clients. And by automating most of the process, Integral has cut our timelines in half. That speed has made a huge difference for us.”
Ted SweetserVP Ad Partnerships & Strategy, PurpleLab

Ready to see how it works?