Technology

Compliance, expressed as code.

Inside AIOMIQ One™, policy, consent, validation, and lineage are first-class technical primitives — not PDF attachments.

Compliant Intelligence

AIOMIQ One™ — Compliant Intelligence Infrastructure for life sciences.

Non-custodial, federated, and inspection-ready so your teams can use AI and analytics in regulated decisions — with evidence to prove it.

Policy-as-Code

From SOPs to executable policy.

Policy-as-Code turns regulatory, contractual, and internal rules into machine-readable logic. Every request is evaluated against:

  • who is asking,
  • for what purpose,
  • in which jurisdiction,
  • with which data, and
  • under which constraints.

The result: consistent, auditable decisions about what is allowed, modified, or denied — enforced by the platform, not by inboxes.

Validation-as-Code

Validation, automated and repeatable.

Validation-as-Code expresses validation requirements as test suites that run alongside your workloads. Before results are released, AIOMIQ One™ can verify:

  • schemas and assumptions,
  • cohort definitions and windows,
  • model performance, drift, and fairness,
  • small-cell suppression and leakage rules.

All results are logged, versioned, and ready to be included in Evidence Packs.

Cryptographic Lineage

Every step, signed and traceable.

AIOMIQ One™ records every operation — data access, transformation, model run, federation step, and output — in a cryptographically linked lineage graph.

That means you can answer:

  • What exactly happened?
  • Which data and model versions were used?
  • Which policies and validation checks were in force?
  • Could we reproduce this in an inspection?

And you can prove it.

Evidence Packs

Evidence on demand — not months later.

Because policy, consent, validation, and lineage are enforced at runtime, AIOMIQ One™ can assemble Evidence Packs whenever you need them.

Each pack can include:

  • validation results,
  • policy and consent logs,
  • lineage graph snapshots,
  • dataset freeze manifests,
  • model metadata.

These packs are built for regulators, payers, and internal QA — not just internal slide decks.