Business knowledge. New possibilities.

Your experience.
AI’s next lesson.

Your business has knowledge AI can’t find online.

Years of solved problems, expert decisions, and everyday work could become valuable training data. Databridge helps established businesses explore licensing that data to AI labs and developers.

Keep your business. Explore a new use for its knowledge.

Your approvalDefined usage rightsNo upfront data upload

Start with a conversation

What does your business know?

Tell us about the records you have—or the data you need. We’ll discuss fit, ownership, and a possible next step.

A description is enough. No personal data or confidential information, please.

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The value is in the work

Not just what happened.
How you got there.

Useful data connects a real problem to the decisions, steps, and outcome. These are examples of records to explore, not a catalog of data currently for sale.

01 / SUPPORT & SERVICE

Problems. Expert resolutions.

Support tickets, troubleshooting, repair histories, escalations, and quality reviews.

Possible sources
Zendesk · ServiceNow · Service systems

Issue → Diagnosis → Action → Outcome

02 / SALES & QUOTATIONS

The path from request to decision.

Customer requests, clarifications, quotation revisions, approvals, and known outcomes.

Possible sources
Salesforce · HubSpot · Quotation tools

Request → Clarification → Proposal → Decision

03 / ENGINEERING & PROJECTS

The work behind the result.

Requirements, design changes, code reviews, bug reports, project tasks, and accepted deliverables.

Possible sources
GitHub · GitLab · Jira · Asana

Requirement → Work → Review → Acceptance

04 / PROCEDURES & KNOWLEDGE

How your business does the work.

Written procedures, playbooks, templates, internal knowledge, and examples of exceptions.

Possible sources
SharePoint · Google Drive · Confluence · Notion

Procedure → Example → Exception → Revision

05 / FINANCE & BACK OFFICE

Judgment behind the numbers.

Reconciliations, approvals, reporting steps, and the supporting records used to resolve exceptions.

Possible sources
QuickBooks · Xero · Finance systems

Record → Reconciliation → Review → Approval

06 / OPERATIONS & LOGISTICS

Everyday complexity, documented.

Scheduling, fulfillment, inventory movements, production records, and how teams resolve disruptions.

Possible sources
Warehouse · Production · Planning systems

Order → Plan → Exception → Resolution

These systems are examples of where records may live, not connected integrations. We start with data your organization has authority to license. Customer, employee, and third-party information needs separate review.

The whole story matters

One completed task.
The context around it.

A finished document tells part of the story. The request, supporting messages, revisions, and expert review help explain how the work was done.

  1. The requestWhat needed to be done and the constraints
  2. The workRelevant messages, documents, and decisions
  3. The reviewCorrections, approvals, and expert feedback
  4. The outcomeWhat was completed and how it was judged

Illustrative collection structure. Each buyer sets its own acceptance criteria.

Check your collection

A considered path to a partnership

Describe. Assess. Connect.

Start with a description of one workflow. Any data exchange comes later, with agreed permissions and terms.

  1. 01

    Describe what you have

    Use our guided assessment to describe the records, approximate quantity, history, and how they connect. No files or system access needed.

  2. 02

    Assess the opportunity

    Review your readiness result and any permission or preparation questions, then request a scoping call.

  3. 03

    Explore a licensing agreement

    Where there’s a fit, we help connect the parties. You approve the data, permitted uses, and commercial terms before anything is shared.

For AI labs & developers

Looking for the knowledge
behind real work?

Tell us the industry, task, format, and usage rights you need. We’ll explore whether a suitable business can supply it.

Discuss your data requirements

Training, evaluation, and other uses are scoped separately in each agreement.

Before you begin

Your data. Your decision.

Does my company need a minimum number of employees?

Requirements vary by program and collection. Headcount helps us understand the business, but does not determine acceptance. Specialized, well-documented records may warrant a conversation even from a smaller team.

Are you buying my company?

No. We focus on data licensing: permission to use a defined set of records for agreed purposes. You keep your business. Any ownership and usage terms are spelled out in the agreement.

What could my data be worth?

Our assessment identifies readiness and questions for a pricing conversation. There is no reliable price without reviewing the records and a buyer’s needs. Value depends on usefulness, quality, uniqueness, volume, and licensing terms. An inquiry is not a valuation or a guarantee of a sale.

Do I need to upload anything?

No. Start with a general description. Don’t include confidential information, customer or employee details, passwords, or files. Any sample review would require a separate, agreed process.

Can I license anything in my company’s systems?

Having access is not the same as having permission to license. We need to establish who owns the records and whether customer agreements, third-party rights, or privacy obligations limit their use.

Does Databridge already have a buyer for my data?

Not necessarily. We begin by assessing the opportunity. Buyer interest, acceptance, timing, and payment depend on the specific data and agreement.