New revenue from old internal data.

We pay businesses for old internal records. We de-identify materials and use them to build simulated training environments where AI agents learn to do real work.

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In the systems your firm already uses.

Your business deserves a return on its expertise.

Years of experience sit in your internal records: how a team solves a problem, checks an answer or makes a decision. We use that experience to develop practical training tasks for AI agents.

We license suitable records directly from your business and agree payment and permitted uses with you.

Start with the work you’ve already done.

There is no new material to create. We work with old records your business owns and can license, selecting examples that can become useful tasks for agents.

Process documents

Old SOPs, operating playbooks and onboarding guides that explain how your business works.

Sales methods

Internal sales playbooks, training notes and qualification methods. Customer records stay out.

Internal problem-solving

Resolved internal support issues and team discussions that record how a problem was worked through.

Analysis & review

Past internal models, research and review notes that show assumptions, corrections and decisions.

You decide
what we can use.

We review selected records to remove identifying and sensitive information. Customer information and material you cannot license are excluded. You approve the records and the scope of the license.

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  • Do we retain ownership?

    Your business retains ownership of the material it licenses.

  • What do we approve?

    You approve the records covered by the license and how they may be used. We agree scope and terms directly with you before using the material for training or evaluation.

  • How can our records be used?

    The agreement defines how On Policy may use the licensed material to develop tasks and reinforcement learning environments, train AI agents and evaluate their performance. It also sets any permitted partner access, duration and restrictions.

  • How is sensitive information handled?

    We review selected records for identifying details and sensitive content during preparation. Customer information, privileged records and material your business cannot license stay outside the scope. This review informs how we prepare material for our training work.

  • When are payment terms agreed?

    Scope, price and payment terms are agreed before you proceed.

We turn your records into tasks for AI.

We develop reinforcement learning environments: realistic settings where an AI agent attempts a task, receives feedback and learns from the result.

An old internal procedure might become a simulated support desk, with fictional names and details. We define the problem, the tools the agent can use and how a successful response is measured.

Illustrative portrait of an experienced professional in conversation

Your experience is worth learning from.

Professional judgment is recorded in the way a team handles an exception, checks a result or resolves a difficult problem. We use those examples to design the challenges agents learn from.

A fair return, on terms you understand.

Find out what your old records could earn.

Start with a description of what you have. No documents are needed for the first conversation.

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