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DataCow helps businesses turn their operational data into new revenue while advancing frontier AI

Estimate your data’s worth

Your company
How many business and enterprise customers do you have?

Personal customers don't count.

How many years of data do you have?
How many employees does your company have?
Your company and how to reach you

Do you use Salesforce or HubSpot?

Does your business generate more than $1M in annual revenue?

We use the numbers to give an estimate. No newsletters.

DataCow | Get an estimate

Does your company use

  • Salesforce
  • HubSpot
  • Jira
  • SAP
  • NetSuite
  • Microsoft Dynamics 365
  • ServiceNow
  • DocuSign
  • Zendesk
  • Slack
  • Gong
  • GitHub

Every day, your teams generate operational data across sales pipelines, pricing, invoicing, forecasting, and finance — data that captures workflows highly valuable for training frontier AI models.

DataCow helps companies like yours monetize those assets through data licensing opportunities.

Security

We understand business data can contain sensitive customer, commercial, and financial information. Every partnership is designed around your company's requirements, with clear controls over what is shared, how it is handled, and what is never included.

Security is the foundation of this program. All data is handled under strict contractual protections.

It’s not our goal to replicate businesses, products, customers, or competitive advantages. The sole purpose of this initiative is to help train and evaluate AI systems in realistic enterprise settings.

How we secure your data

Before any participation, together we define:

  • Approved data scope and clear boundaries

    • Original datasets are retained only for processing purposes.
    • Original datasets are deleted after processing.
  • Security and customer confidentiality standards

    • No data is publicly shared.
    • No customer information is exposed.
  • Anonymization and redaction requirements

    • Sensitive information is scrubbed before any downstream use.
    • All confidential information is removed.
  • Internal approval processes and partner sign-off

    • Companies retain ownership of their underlying data.

We are the fastest moving data buyer, while keeping your privacy and security first

01

Get your estimate

Use our online estimator to get an instant revenue estimate on your data

02

Discovery call

Our team gets on a call with you to decide whether it's a good fit

20minutes

03

Fast to close and wire

If it's a fit, we evaluate, onboard, sign and wire in five days

5days

04

One-time data export

No work on your side. Your data is anonymized, protecting your privacy and keeping you in control

0hassle

Examples of the business work and workflows that help train and evaluate frontier AI models

  • Sales & pipeline

    CRM records in HubSpot or Salesforce, discovery-call notes, proposals, pricing approvals, and the follow-ups that close a quarter

  • Finance, HR & internal operations

    Invoicing and vendor workflows, hiring scorecards, SOPs, quality checklists, and how the company runs itself

  • Contracts & legal operations

    Redlines, approval chains, DocuSign envelopes, MSAs and order forms, and the negotiation history behind each signature

  • Project & product delivery

    Jira epics and tickets, specs, sprint reviews, release notes, and how a requirement turns into shipped work

  • Marketing & revenue operations

    Campaign briefs, lead-routing rules, outbound sequences, attribution reports, and the reasoning behind a budget shift

  • Customer success & support

    Onboarding playbooks, ticket threads, escalation paths, renewal reviews, and the account notes behind a saved churn

What does DataCow offer businesses in exchange for their data?

DataCow partners with businesses to help improve AI systems using real-world workflows and operational knowledge. Participating companies receive compensation based on the value of the data provided and may also benefit from improvements tied to the specific use cases they contribute. Data is used to evaluate and improve AI capabilities in realistic business environments.

What kinds of companies are eligible for the program?

Companies of many sizes can take part, starting from around 3 to 5 employees, as long as you serve business clients rather than individuals. Beyond size, we look for operationally mature companies with established documentation and complete records: full years rather than fragments, with the source records, working documents, and review notes kept together so the whole trail of a piece of work is intact. Our current focus is B2B work in sales, customer success, marketing, legal, project delivery, and operations. We prioritize US companies, followed by other Western markets.

What types of data are you looking for?

We are looking for data that reflects how work is actually performed within a company, across sales, customer success, marketing, legal, project delivery, and operations. This may include standard operating procedures (SOPs), CRM and ticket histories, contract and approval trails, project boards, internal knowledge bases, templates, review notes, and other working artifacts. The most valuable datasets capture real domain expertise, professional judgment, and repeatable workflows that help AI systems learn how the work is executed in practice.

How is company and customer data protected?

Protecting customer data is a core principle of the program. Personally identifiable information (PII) and customer identifiers are removed when relevant, access is restricted to a limited number of authorized team members, and your data is processed through isolated pipelines that prevent it from being commingled with other engagements. Data is retained only for agreed periods, you have the opportunity to review representative samples before use, and deletion requests are honored according to the terms of the engagement. In addition, employees with access to data systems use company-managed devices and follow established security controls and training requirements.

How do you ensure data transfer and anonymization is secure?

All data is handled under strict contractual protections. Before participation, we agree on the approved data scope, security and confidentiality standards, anonymization and redaction requirements, and internal approval processes. Original datasets are retained only for processing purposes. Sensitive information is scrubbed before any downstream use, and all confidential information is removed. Original datasets are deleted after processing. No data is publicly shared, no customer information is exposed, and companies retain ownership of their underlying data.

Who owns the data?

You do. Companies retain ownership of their underlying data.

What happens to the datasets after they are shared?

After data is shared, it is processed according to the agreed use case and handling requirements. Depending on the nature of the data, personally identifiable information and customer identifiers may be removed and certain datasets may undergo synthetic rewrites that preserve workflow structure while reducing direct ties to original records. Data is retained only for a limited period based on agreed retention policies, and you are given the opportunity to review representative samples before prepared data is used. Upon request or at the end of an engagement, data is deleted according to the agreed retention and deletion terms.

How is compensation determined?

Compensation is determined based on the characteristics and value of the data being contributed. Factors considered include dataset size and volume, workflow complexity, data quality, the domain expertise represented, and the uniqueness of the operational knowledge contained within the dataset. Each partnership is evaluated individually, and compensation is aligned with the overall value and relevance of the data provided.