One platform for defensible data.

Integral assesses, engineers, and documents real-world data so it is ready for AI. One platform covers the full lifecycle: from initial assessment through privacy engineering to continuous re-assessment as data moves downstream.

Three verbs. One platform.

Assess

Qualified experts assess re-identification risk and produce a signed, defensible opinion. The assessment is scoped to the dataset, the use, and the recipient.

Engineer

Signal-preserving privacy remediation is calibrated to the intended analytical or training objective. Utility is measured, not assumed.

Document

Every engagement produces audit-ready documentation: the determination, methodology provenance, utility metrics, and a re-assessment schedule.

The lifecycle

  1. Source

    Identify and align on sensitive data assets with the data collaborator.

  2. Assess

    Qualified experts assess re-identification risk and produce a signed, defensible opinion.

  3. Engineer

    Signal-preserving privacy remediation calibrated to the intended use. Utility metrics document the tradeoff.

  4. Deliver

    Audit-ready data ships with the determination, methodology provenance, and evidence package.

  5. Re-assess

    Continuous monitoring as datasets, recipients, and context evolve. Documentation stays current.

Same engine, your environment.

Integral runs as a managed cloud service or deploys in your infrastructure: VPC, on-prem, or air-gapped. The assessment methodology and documentation are identical regardless of where the platform runs. Your data does not have to leave your environment.

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See how it works.