Integral

Integral operates what it calls an independent privacy layer for AI, converting real-world sensitive data into compliant, AI-ready data assets. Its workflow spans a five-stage data lifecycle: sourcing and aligning on sensitive data assets, independently assessing re-identification risk, engineering signal-preserving privacy remediation, delivering audit-ready data with documentation that travels with the dataset, and continuously re-assessing as data and context evolve.

The platform is grounded in HIPAA Expert Determination methodology, producing signed, scoped opinions from qualified statistical experts who sign off on both methodology and results. Outputs include audit-ready documentation, a monitoring timeline, and field-level retention tracking, with decisions logged for downstream examination. Integral processes healthcare and clinical records (claims, EHR extracts, lab results, patient registries), behavioral and consumer data (browsing patterns, purchase histories, location traces, ad-tech signals), and enterprise and operational data (supply-chain records, HR datasets, financial transactions, CRM exports).

Beyond remediation of data already held, Integral offers pre-purchase evaluation for data acquisition: analyzing prospective datasets against HIPAA, state privacy laws and internal policies, generating a remediation plan with de-identification steps, field-level redactions and estimated timelines, and estimating the cost of privacy engineering including tooling and ongoing monitoring overhead. Related use cases the company lists include data collaboration, health data monetization and data infrastructure.

Business model

Integral sells a privacy platform and accompanying expert services to organizations that hold or acquire sensitive data. Engagements combine software-driven assessment and remediation with sign-off by qualified statistical experts, plus continuous monitoring and re-assessment as datasets and their context change. The company positions itself as an independent third-party privacy layer between data holders and the AI builders or analytics teams consuming the data.

Traction

Company materials report more than 1 trillion records assessed and remediated across client datasets, 94.2% data utility preserved after remediation, and four years of operating privacy programs for sensitive datasets. Customer testimonials come from executives at PurpleLab, Insagic (Publicis), OptimizeRx, Health Union and Skyflow, with one customer citing project timelines cut in half.