Data categories we can assess.
A company, organization, or individual may select any category they actually own or control. The assessment adapts to each selected type.
Business Operations
Operational records from real work across communication, sales, support, finance, HR, analytics, IT, software, and internal systems.
Work Documents
Original or final professional files from real work such as spreadsheets, documents, slides, contracts, SOPs, and project records.
Financial Workflows
Cases where inputs, analysis, review, decisions, approvals, and later outcomes may be preserved.
Structured Data
Rows, records, tables, event logs, transactions, or APIs with schema, identifiers, update history, or relationships.
Software History
Software development records connecting code changes to issues, reviews, tests, builds, deployments, and incidents.
Text
Text / publishing / language content that may be useful when ownership, useful context, scale, and rights can be assessed responsibly.
Audio
Audio / speech that may be useful when ownership, useful context, scale, and rights can be assessed responsibly.
Video
Video / footage that may be useful when ownership, useful context, scale, and rights can be assessed responsibly.
Images
Images / photography / visual libraries that may be useful when ownership, useful context, scale, and rights can be assessed responsibly.
Music
Music that may be useful when ownership, useful context, scale, and rights can be assessed responsibly.
Scientific Data
Scientific / technical / sensor data that may be useful when ownership, useful context, scale, and rights can be assessed responsibly.
Robotics
Robotics / physical-world data that may be useful when ownership, useful context, scale, and rights can be assessed responsibly.
Gaming and 3D
Gaming / 3D / simulation data that may be useful when ownership, useful context, scale, and rights can be assessed responsibly.
Specialized Data
Other / specialized data that may be useful when ownership, useful context, scale, and rights can be assessed responsibly.