01
Enterprise sales & CRM
Opportunity histories, stakeholder conversations, pipeline forecasts, and renewal plans that document long sales cycles and enterprise account relationships.
For B2B companies serving enterprise customers
Monetize your B2B company's operational data
Your enterprise sales history, CRM records, and accounting and finance workflows can become a new source of revenue. Partner with DataCow to help train AI for complex business work.
Data partnerships
Built through years of enterprise work.
Your CRM tells the story of how enterprise deals get done
Your financial records capture the expertise behind complex accounting and planning decisions
License that operational knowledge to help AI learn enterprise sales and finance
Enterprise expertise, documented in your daily work
We partner with B2B companies that serve large organizations. Your sales, accounting, payroll, and payment workflows help AI learn how experienced teams manage complex enterprise work.
02
Accounting & financial planning
Close workpapers, reconciliations, revenue recognition schedules, budgets, and forecasts supporting complex financial decisions across business units.
03
Payroll operations
Payroll reviews, compensation approvals, cost allocations, and exception handling, with reconciliations connecting payroll systems to the general ledger.
04
Accounts receivable & payable
Customer billing, collections, supplier invoice matching, and payment approvals, with records showing how teams resolve discrepancies and reconcile balances.
Built with privacy and control first
Enterprise relationships depend on confidentiality. Each partnership begins with a defined scope that accounts for customer commitments, sensitive commercial information, and your internal approval requirements.
Before any participation, together we define:
- Approved data scope and clear boundaries
- Security and confidentiality standards
- Anonymization and redaction requirements
- Internal approval processes and permissions
How it works
From an initial conversation to an agreed data license.
1
Tell us about your business
Share who your company serves, the systems your teams use, and the sales or finance workflows you document.
2
Review the opportunity
We assess the depth, continuity, and relevance of your records to identify a potential licensing opportunity.
3
Define the scope
Together, we review the proposed data, your rights to share it, and the confidentiality requirements for your business and customers.
4
Agree on the partnership
We agree on compensation, permitted uses, and data handling requirements before your team prepares the approved records.
Create revenue from your operational expertise
Each opportunity is assessed individually, based on the depth of your records, the complexity of the work, and the agreed licensing scope.
$100k+
Qualified B2B sales, accounting, and finance data partnerships
$500k+
Extensive CRM histories or financial workflows spanning teams, business units, and reporting periods
$1M+
Distinctive enterprise datasets with deep historical records and connected decisions, documentation, and outcomes
Frequently
asked questions
What kinds of companies are a good fit?
We work with B2B businesses serving large companies and enterprise customers, especially those with long sales cycles and a well-maintained CRM. We also look for teams performing complex accounting and finance work for large organizations. Detailed historical records, consistent documentation, and clear rights to license the data are central to a strong partnership.
What makes CRM data valuable?
The strongest records connect an opportunity from initial discovery through the final outcome. Stakeholder roles, meeting notes, stage changes, proposals, forecast revisions, and decision histories help explain how a complex sale develops. Context and continuity across the sales cycle matter alongside the volume of records.
What accounting and finance work are you interested in?
Relevant work includes corporate close, multi-entity consolidation, revenue recognition, budgeting, forecasting, and management reporting, as well as payroll operations, accounts receivable, and accounts payable. Reconciliations, review comments, exception handling, and approval histories help show how teams complete and validate the work.
Do we need to contribute both sales and finance data?
A partnership can focus on a single well-documented area. We assess the depth and relevance of the available records, whether they cover enterprise sales, corporate accounting, or financial planning.
How will the data be used?
Licensing opportunities support training and evaluation of AI systems for enterprise work. Relevant tasks may include understanding a sales opportunity, interpreting a financial model, or following a documented accounting workflow. Permitted uses are defined in the partnership agreement.
How do you handle customer confidentiality?
Before sharing begins, we agree on the data scope, required permissions, and confidentiality requirements. This includes identifying sensitive customer and employee information, defining redaction or anonymization requirements, and agreeing on access, retention, and deletion terms.
Who owns the data?
Your company retains ownership of its underlying data. The agreement defines which records are licensed, how they may be used, and the duration and scope of those rights. We review any customer or third-party restrictions as part of defining the partnership.
How is compensation determined?
Each opportunity is evaluated individually. Relevant factors include historical depth, completeness, workflow complexity, supporting documentation, and the ability to connect decisions with outcomes. Compensation and licensing terms are agreed before data delivery.
What should we prepare for the first conversation?
Start with an overview of your customers, sales cycle, CRM or finance systems, and the types of records your team maintains. An approximate time span and volume of records is helpful. The initial conversation focuses on understanding the opportunity; the data scope and sharing requirements are agreed later.