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READINESS, MEASURED—NOT ASSERTED

Evidence-based readiness for enterprise data and AI.

Start with a dataset, a data domain, or an AI initiative. DATA Compass evaluates readiness using evidence across data quality, meaning, statistical integrity, risk, and compliance—showing what is fit for use, what can withstand scrutiny, and what needs to change next.

Life Sciences Banking Product preview

Evidence stays attributable Gaps remain visible Decisions stay human-owned

  1. 01Assess
  2. 02Diagnose
  3. 03Act
  4. 04Prove

ONE COMPASS MOTION

From assessment to an owned next move.

DATA Compass can begin with a dataset, data domain, AI initiative, or governed decision. The starting object changes; the product motion does not.

  1. 01

    Assess

    Begin with the asset, domain, initiative, or decision and evaluate the evidence that applies.

  2. 02

    Diagnose

    Distinguish measured, attributed, missing, and contradictory evidence.

  3. 03

    Act

    Turn material gaps into prioritized remediation with named ownership.

  4. 04

    Prove

    Preserve what supports the decision, what changed, and what requires reassessment.

DIFFERENT INDUSTRIES. DIFFERENT STANDARDS.

Different evidence. One readiness discipline.

01 / Life Sciences

Can this data support the scientific and AI use?

Evaluate data quality, statistical integrity, FAIR alignment, and semantic maturity against the intended use—then trace the blockers to evidence and prioritized remediation.

  • Data quality
  • Statistical integrity
  • FAIR
  • Semantic maturity
Explore Life Sciences

02 / Banking Product preview

Can this AI decision withstand challenge?

Connect data quality, model and use-case risk, control coverage, ARC requirements, unresolved findings, and the bank’s accountable decision in one assessment record.

  • Data quality
  • Risk
  • Control coverage
  • Decision provenance

Compass for Banking, powered by ARC

Explore Banking

DEPLOYMENT

Your data stays. DATA Compass comes to it.

  • Deploys inside the customer’s environment.
  • Connected sources are assessed read-only.
  • Source data does not need to move into a Compass-hosted data store.
  • AI-assisted features use an in-environment or customer-approved external model endpoint.

Bring the data—or the decision—you need to trust.

We will show you what evidence is present, where the material gaps are, and what the next responsible move looks like.

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Start with what matters

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Tell us where you need clarity. No source data is required for the first conversation.

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