Enterprise Data Partnerships
Help train the next generation of AI systems using real-world operational knowledge, workflows, and business expertise. Selected companies are compensated for their contributions.
Express interestPayouts between
$100k - $1million
Your company’s everyday work can become a new source of revenue. Value depends on the quality, volume, and uniqueness of your data—and what buyers need.
Find out what your data could be worthFrom everyday work
to AI-ready data.
You already have the raw material. We help identify the right records, bring them together, and prepare them for a data partnership.
Source
Together, we identify useful records across your business and agree on what can be shared.
Unite
We organize approved records into datasets: support, sales, CRM, and operations.
Clean
We remove noise and duplicates, preserving the context and outcomes that make the work useful.
Anonymize
We mask personal identifiers and prepare the dataset for the uses agreed in your partnership.
Every source.
In front of the right buyer.
AI teams need examples of how real work gets done. Our relationships with labs and data companies help connect your operational knowledge with that demand.
The tools you already use.
Support conversations, sales emails, and operational records live across your systems. We bring that scattered knowledge together.
- Google Drive
- Gmail
- Notion
- HubSpot
- Zendesk
- Intercom
- SAP
- QuickBooks
The teams building AI.
Different buyers need different data. We help match your records to relevant training and evaluation needs, so the opportunity reaches the right people.
- THINKING MACHINES
The opportunity comes from the match: useful business knowledge, prepared well, for a buyer who needs it.
A clear agreement.
A considered process.
A partnership starts with a conversation about scope and permissions. We agree on what can be shared, how it will be prepared, and how it can be used before any transfer.
Agree on the scope.
Identify the records you can share, their ownership, and any confidentiality or contractual restrictions. The agreement defines the permitted uses.
Prepare the data with care.
Clean approved records and mask personal identifiers such as names, email addresses, phone numbers, and account details.
Set the handling terms.
Define access, transfer, and retention requirements in the partnership agreement, so responsibilities are clear before the data moves.
Let’s find the value
in your everyday work.
Tell us about your company and the systems you use. A high-level description is enough to start.
A strong fit often looks like:
What kinds of records are relevant?
Support threads, sales emails, CRM histories, SOPs, playbooks, knowledge bases, project workflows, internal documentation, and operational records. We work with companies across technology, professional services, finance, logistics, and other industries.