04Data assessment

Score the data your company already has.

Metadata questions only. Nothing is uploaded, connected or transmitted. The result is an indicative AI Data Asset Score with the reasoning behind each dimension — confirmed later in diligence.

QuestionnaireStep 1 of 5

Industry

Company size

Years operating — 12

Indicative AI Data Asset ScoreUpdates live
61/100
MODERATEREVIEW REQUIRED
Volume85 · w12

Derived from approximate record count.

Historical depth63 · w12

7 years of history reported.

Workflow complexity24 · w12

1 workflow families reported.

Cross-system connectivity66 · w11

3 systems reported as connected.

Uniqueness70 · w10

Self-reported scarcity, confirmed in diligence.

Data quality63 · w9

Inferred from systems of record in use.

Outcome labels54 · w9

Inferred from record types reported.

Industry value72 · w8

Current buyer demand in this industry.

AI-agent relevance61 · w8

Fit with agent training and evaluation.

Licensing readiness62 · w5

Based on reported contractual restrictions.

Privacy / de-identification complexity45 · w4

Based on client and employee data presence.

Indicative readoutDiligence-dependent
Potential data value
Range established after diligence
Market interest
MODERATE
Privacy complexity
MODERATE
Licensing complexity
LOW
History reported
7 yrs

Likely buyer categories

Vertical AI companiesAI agent developersFrontier model developersEvaluation and benchmark teams

Applicable AI use cases

Vertical AI agentsProject management agentsEstimatingCost forecastingChange-order analysis

This score is indicative and self-reported. It is not a valuation, not a legal determination of licensing rights, and not a representation that the asset can be licensed. All dimensions are re-verified during diligence.

Demo data — illustrative sample listings, not live marketplace records