Instructions & knowledge
Work instructions, templates, SOPs, onboarding guides and internal knowledge bases.
Your business recordscould generate new revenue.
From work instructions and customer histories to project, finance, legal and operational records — the knowledge your company already creates could qualify for a paid AI data partnership.
Start with your company details. No documents to upload here.
See examples of business recordsYour company may already have what AI teams need.
Useful records exist across the business — not just in IT. These examples are a starting point, not a complete list.
Sales & customer support
CRM activity, sales playbooks, support cases and quality assurance records.
Projects & engineering
Project histories, technical documentation, bug tracking and product planning.
Finance & accounting
Reconciliations, approvals, reporting and accounting workflows.
Legal & governance
Contract reviews, policies, compliance procedures and documented decisions.
Operations & logistics
Inventory, fulfilment, logistics and exception records.
Records of how your team makes decisions, solves problems and reviews AI-generated work may also be relevant. Explore practical guides →
Start with your company. Explore the opportunity.
- 01
Company application
An authorized representative submits your company details on the AI data partner’s site.
- 02
Partner review
The partner reviews whether your company fits its current needs.
- 03
Discovery
If there is a fit, discuss your records, participation and privacy requirements.
- 04
Partnership
If selected, agree the scope, terms and compensation before participation begins.
The idea in 15 seconds
From everyday business records to a potential paid data partnership. Press play when you’re ready.
Read the transcript
Your everyday business records could be valuable for AI. Submit your company details for review. An AI data partner assesses the opportunity. If there’s a fit, you could earn through a paid partnership.
Who is the current program best suited for?
Established companies with 30+ employees, documented operations and primarily English-language records. The current AI data partner program prioritizes US companies; opportunities in other markets depend on demand. These are current program priorities, not requirements for every AI data partnership.
Questions before you apply
The essentials of the referral, evaluation and compensation.
How is compensation decided?
The figures above are published levels from a current AI data partner program, not a DataToAsset offer. The AI data partner assesses data quality, uniqueness and value, then determines any compensation after review and under a separate agreement. Published levels are not evidence of actual payouts or typical earnings.
What should we prepare before applying?
Nothing to upload here. A short, non-sensitive description is enough: the repeated process, approximate volume, time period, the identifiers that connect events, and known restrictions. Never send source documents, credentials or confidential material to us.
Does company size matter?
The current receiving program says it looks for operationally mature companies with 30 or more employees and currently prioritizes US companies. Those are its published program priorities, not a universal rule for AI data partnerships. The receiving partner decides fit for each application.
Do we keep ownership of our data?
Using the referral link transfers no rights to DataToAsset and creates no exclusivity. You decide whether to enter a later agreement; any license, sharing permission and ownership terms depend on that agreement.
Does DataToAsset charge our company?
DataToAsset does not charge your company for its referral service in this pilot. We are an independent referrer and may receive compensation from the AI data partner for a successful referral. That referral compensation is separate from any payment to your company.
What happens after the initial application?
The current program describes an initial AI interview about your company and its operations. The AI data partner reviews fit and, if selected to move forward, discusses the records, participation and privacy requirements before a separate agreement. Follow the partner’s current application instructions.
Which records are relevant?
Examples include work instructions, customer support, sales, project and product histories, finance processes, contract workflows and logistics. Connected context, actions, decisions and outcomes can be useful. These are examples, not a complete list; rights, quality and current demand still matter.
What happens when we click Check eligibility?
A short DataToAsset panel explains the next step. Where offered, you can request optional email updates or continue without them. The external AI data partner application opens only after you choose to continue; nothing is submitted to that partner automatically.
Who evaluates and decides?
The final data user carries out the evaluation and decides eligibility, diligence, terms and any payment. DataToAsset is an independent referrer and does not represent the receiving service.
Explore the revenue potentialof the records you already have.
Check eligibility
Free to your company. DataToAsset is an independent referrer. The final data user evaluates applications.