Data library
Data buyers need
Examples of relevant data, grouped by the assets companies recognize. Public scraped content and generic marketing material are secondary.
Company archives
Examples of relevant data
- · Documents, spreadsheets and presentations
- · Project files and wikis
- · SOPs and playbooks
- · Approved email and chat exports
History: Often 3–15+ years of files
Possible AI uses: Document understanding, Enterprise knowledge tasks, Agent evaluation on real files
Buyers assess: Volume and file mix, Language share, Confidential or third-party content, Export readiness
Learn moreCustomer support
Examples of relevant data
- · Tickets and conversations
- · Escalations and resolutions
- · Knowledge bases
- · QA scores
History: Typically 2–10 years of tickets
Possible AI uses: Support agents, Resolution and escalation models, Evaluation sets
Buyers assess: Resolution and QA labels, Personal data handling, Customer contract terms
Learn moreSoftware engineering
Examples of relevant data
- · Code (where licensable)
- · Issues and pull requests
- · Code reviews
- · Technical docs and deployment histories
History: Repository and ticket history
Possible AI uses: Coding agents, Code review and debugging, Software task evaluation
Buyers assess: Code ownership and open-source licenses, Client-owned code, Secrets and credentials removal
Learn moreSales & revenue operations
Examples of relevant data
- · CRM opportunities and activities
- · Proposals
- · Sales conversations
- · Won / lost outcomes
History: Multi-year pipeline histories
Possible AI uses: Sales agents, Forecasting and deal reasoning, Conversation models
Buyers assess: Genuine operational histories (not contact lists), Outcome labels, Personal data
Standalone contact lists are not operational CRM histories and are generally out of scope.
Learn moreFinance, legal & administration
Examples of relevant data
- · Reconciliations and approvals
- · Workpapers
- · Contract review histories
- · Compliance and admin workflows
History: Several fiscal years / matters
Possible AI uses: Finance and legal agents, Review and approval reasoning, Expert evaluation
Buyers assess: Client confidentiality and privilege, Regulated data, Rights to client work product
Learn moreOperations & engineering
Examples of relevant data
- · Dispatch and service orders
- · Procurement and exceptions
- · Maintenance and quality records
- · CAD / PCB / project files where a buyer requests them
History: Operational logs spanning years
Possible AI uses: Operations agents, Exception handling, Engineering and design tasks
Buyers assess: Customer and vendor restrictions, File formats, Export readiness
Learn more