Data Partnerships
Your business data can help train the next generation of AI
Your teams create valuable records every day just by doing their jobs. Datavest AI turns that know-how into new revenue through data licensing.
What we look for
Real-world operations that teach AI how business works
The everyday records of how your company runs show AI models what real work looks like.
Process documentation
SOPs, wikis, internal guides, CRM records, project histories, and QA checklists.
How decisions get made
The way your teams weigh information and choose what to do next.
Feedback on AI output
Real-world human reviews of AI results that help models improve.
Privacy first
You stay in control of every byte
Business data can be sensitive, so each partnership is shaped around your rules — what's shared, how it's handled, and what's always off-limits. Before anything moves, we agree on:
Agreed scope and clear limits on what's shared
Security and confidentiality standards
Anonymization and redaction rules
Your internal sign-offs and permissions
How it works
Four simple steps
A straightforward, privacy-minded process built for long-term partnerships.
- 1
Tell us about your data
A short questionnaire about the systems and records your company holds.
- 2
Review
Our team looks over your answers to see if there's a match.
- 3
Discovery call
If it's a fit, we'll dig into your data and your privacy needs together.
- 4
Agreement
Once approved, we finalize terms and data requirements and get started.
Compensation
Turn everyday records into meaningful revenue
Offers reflect the quality, uniqueness, and value of the data you share.
Focused datasets
A well-defined set of records from one team or system.
Multi-team programs
Larger datasets or ongoing contributions across several departments.
Rare proprietary data
Unique operational knowledge that's especially valuable for AI development.
Industries
Every industry has data worth sharing
A few examples of the records and workflows that help build and test AI models.
Software & engineering
Technical docs, engineering workflows, bug tracking, and product planning.
Finance & accounting
Reconciliations, approvals, reporting flows, and financial SOPs.
Customer support
Ticket workflows, help-center content, QA, and support playbooks.
Sales & CRM
Pipelines, playbooks, customer lifecycle records, and revenue ops.
Legal & compliance
Policies, contract review processes, and governance documentation.
Operations & logistics
Fulfillment, inventory, logistics processes, and internal operations.
See what your data is worth
It takes a few minutes to describe your systems — no files or sizes needed to start.