Data for better AI

Your data.
A new asset.

License the knowledge inside your business. Source real-world data for the models you’re building.

Layered silver surfaces converging into a single structured form
Business workflows. Domain knowledge. Human judgment.You control the scope. We help define the opportunity.

Two sides of a better dataset.

Meridian Operating brings data owners and AI teams together around a clear brief, verifiable rights, and agreed commercial terms.

For data owners

Find the value in work you’ve already done.

Your systems hold records of decisions, processes, and outcomes. Start by exploring which parts could be licensed.

Assess your data
Companies, specialist firms, and teams with domain expertise.

For AI teams

Specify the data your model is missing.

Tell us the domain, task, format, and permissions you need. We’ll use your brief to investigate suitable sources.

Request data
AI labs, applied AI teams, and research organizations.

The work behind
the records.

Useful data shows how a task was done, why a decision was made, and what happened next.

Explore your sources

Messages & decisions

Conversations that capture decisions, coordination, and expert reasoning in context.

Slack, Teams, email

Documents & expertise

Technical writing, operating procedures, research, and specialist knowledge.

Drive, SharePoint, Notion

Code & development

Repositories with the reviews, issues, and changes that explain how software was built.

GitHub, GitLab, Jira

Operations & transactions

Quotes, orders, invoices, and process records linked to real business outcomes.

Salesforce, Xero, ERP systems

Completed workflows

The task, the steps, the corrections, and the final result. Useful context for training and evaluating AI agents.

Support, project delivery, specialist operations

From a source to an agreement.

Start with a conversation. Move forward when the data, rights, and buyer requirements fit.

Assess

Describe what you have.

Share source types, history, volume, and who can authorize licensing. No dataset upload is needed.

Qualify

Agree on the scope.

Review ownership, sensitive content, intended uses, and the work needed to prepare a sample.

Match

Test buyer interest.

Compare the dataset with a buyer’s brief. Share an approved sample under appropriate terms.

License

Set the commercial terms.

Agree on permitted use, access, price, and delivery. A sale proceeds only with the owner’s approval.

Close view of silver layers with clearly separated edges

Your data.
Your permission.

Define what can be shared before a sample or export changes hands.

Start with metadata.

The first conversation needs a description, not your customer records.

Review rights and sensitive content.

Ownership, confidentiality, and personal information need separate checks.

Approve the license and scope.

Permitted use, recipients, retention, and payment belong in written terms.

Read our privacy notice

Before we talk.

What makes a dataset valuable?

Relevant domain knowledge, useful context, sufficient volume, reliable quality, and the rights to license it. Value depends on what a buyer needs and will pay for.

Do I need to export anything first?

No. Start with source types, approximate volume, history, and ownership. Please do not send personal information, credentials, confidential customer records, or raw datasets through these forms.

Can you guarantee a sale or a price?

No. We first assess whether your data can be licensed and whether it fits a buyer’s requirements. Pricing and payment timing are agreed as part of an actual transaction.

Can buyers request a specific dataset?

Yes. Submit the domain, task, modality, volume, quality requirements, permitted use, and timeline. We can discuss a sourcing brief and what would qualify as a match.

Does an NDA give permission to use the data?

An NDA addresses confidentiality. A separate license or authorization defines what data can be shared, with whom, and for which uses.

Put your data
to work.

Start with the sources you own or the dataset you need.