How to Turn Business Data Into Revenue: Licensing Data to AI
AI labs pay to license real business data, code and workflows. What qualifies, what it can be worth, and how AssetGate and micro1 help you sell it.
Disclosure: AssetGate is a sponsor of AI App Hunters and shares its owner. Links to micro1 are referral links, and we may earn a fee if your company signs a partnership. Neither changes what we write or how tools rank.
AI companies are running out of clean public text to train on. What they want now is real business data: how work actually gets done, how decisions get made, and how code evolves over years. Most established companies hold exactly that in their wikis, ticket systems, codebases and process docs. You can license it to AI buyers and keep ownership. Two services make this practical for normal businesses: AssetGate, a broker for European companies, and micro1, an AI data lab with its own data partnership program.
Key takeaways
- AI labs pay to license real operational data, code and development history. Demos and synthetic data do not count.
- Licensing gives a buyer defined rights to a copy. You keep ownership unless you agree otherwise in writing.
- Published program tiers run from about $10K to $1M+, but many assets get no offer at all.
- Personal and customer data needs a GDPR check and usually exclusion or anonymisation first.
- AssetGate assesses your assets and explores interest from buyers. micro1 is a buyer you can apply to directly.
Why AI companies pay for business data
Frontier models are now trained to act, not just answer. To do that well they need examples of real work in real businesses. micro1 says it wants documentation that shows how work gets done, including SOPs, knowledge bases, CRM data, project histories and QA processes, plus decision-making patterns and human feedback on AI outputs in real settings. Scale AI describes the same demand as turning "de-identified operational workflows into frontier-grade training data."
The common thread is authenticity. AssetGate lists "authentic, unsynthesised history" as a key value signal for engineering data. A ten-year codebase with linked issues and real code reviews tells a model something no generated dataset can.
What kinds of data can qualify
AssetGate groups what AI buyers look for into six asset types. Each needs a clean rights chain: you must own it or hold the rights to license it.
| Asset type | Examples | What makes it valuable |
|---|---|---|
| Software codebases | Production code from a live business | Years in live use, language mix, test coverage, clear IP ownership |
| Engineering history | Commits, pull requests, code reviews, issue threads | Issues linked to fixes, review depth, many contributors, real history |
| Operations and workflows | SOPs, process logs, records of past decisions | Documented outcomes, consistency, a rare domain, easy to anonymise |
| Internal documentation | Specs, wikis, runbooks, design docs | Technical depth, links to code or outcomes, how current it is |
| Industry datasets | Domain records from daily operations | Volume, label quality, regulatory status, exclusivity |
| Archived software | Products no longer sold but still owned | Completeness, historical value, a reproducible build |
Scale AI's program adds the systems this data usually lives in: data warehouses such as Snowflake and BigQuery, chat tools such as Slack and Teams, work tools such as Jira, Confluence and Notion, and business platforms such as Salesforce, HubSpot and Zendesk.
Two ways to sell: a broker or a direct partnership
AssetGate: a broker for European businesses
AssetGate is an early-stage brokerage for data and software IP licensing, starting with the Nordics and UK. It is built for companies that do not know yet whether they have anything worth licensing.
- Start small. You answer a short questionnaire, about two minutes, with no files and no system access.
- Get a read, not a price. You get plain-language guidance on fit, depth and rights. AssetGate does not quote prices until there is real buyer interest.
- Stay anonymous. Your identity and asset details are not shared with any buyer without your explicit permission.
- Decide yourself. Any licence is agreed directly with the buyer, in writing. You can stop at any stage.
- Pay only on success. Asking is free. If a licence is agreed, AssetGate earns a referral fee or success-based commission, agreed with you in writing beforehand.
AssetGate aims to reply within five business days. Start the free AssetGate assessment.
micro1: a direct data partnership with an AI lab
micro1 is a data lab that trains frontier models and evaluates AI agents. Its Enterprise Data Partnership pays companies to license operational data, and micro1 says partners keep ownership of the underlying data.
- Who it is for: operationally mature companies with 30+ employees and established documentation. Demand is strongest in the US, UK and Canada, and you need to work in English.
- What it wants: SOPs, knowledge bases, CRM data, project histories, QA processes, decision patterns and human feedback on AI outputs.
- How it works: a short assessment, a fit evaluation, a discovery call on data and privacy requirements, then the agreement.
Register your company with micro1 to start.
Which route fits you
| AssetGate | micro1 | |
|---|---|---|
| Role | Broker between you and AI buyers | AI data lab buying directly |
| Best for | European firms unsure what they hold | Firms with 30+ staff and mature documentation |
| Regions | Nordics and UK first | Strongest in US, UK and Canada |
| Upfront effort | 2-minute questionnaire, no files | Assessment and discovery call |
| Cost to you | Free; fee only if a licence is signed | Free to apply |
| Assets | Code, dev history, workflows, docs, datasets | Operational data and documentation |
The two are not exclusive. If you have both code and operational documentation, a broker can map the whole picture while a direct program covers the workflows it wants.
What business data can be worth
There is no public price list. The best guide is what programs publish themselves:
- micro1: $100k+ for qualified enterprise data partnerships, $500k+ for large-scale operational datasets or ongoing participation across teams, and $1M+ for highly unique proprietary data. Pay depends on quality, uniqueness and value.
- Scale AI: $10K to $1M+ as illustrative value per data partnership, scaling with cadence. Scale designs partnerships as recurring, not one-time transfers.
Treat these as marketing tiers, not offers. AssetGate says plainly that many assets receive no offer, and it will not guess at a price before a buyer is interested. Value rises with history, depth, documentation and how rare your domain is.
Check rights and privacy before anything leaves the building
Licensing data is a contract, so the boring checks decide whether a deal is possible.
- Confirm you own it. Code written by contractors, licensed third-party components and customer-owned content can all break the rights chain. Customer content usually has to be excluded or cleared.
- Find the personal data. Under GDPR, personal data needs a lawful basis and safeguards such as exclusion or anonymisation. Pseudonymised data can still be personal data.
- Read your contracts. Anonymisation does not remove contractual or IP restrictions in customer or partner agreements.
- Keep control of the copy. Prefer programs where data is de-identified inside your environment and you approve each package. Scale, for example, says raw systems, credentials and identities never leave the company.
- Get advice. Have your lawyer review any licence before you sign. This guide is not legal advice.
How to get started this week
- List what you have. Codebases, repositories with history, wikis, SOPs, ticket archives and any specialist datasets.
- Note the age and depth. Years of history and linked records matter more than raw volume.
- Flag anything personal or customer-owned. This is where most deals slow down.
- Get a free read. Run the AssetGate assessment to see if your assets look worth exploring.
- Apply direct if you fit. If you have 30+ staff and mature documentation, register with micro1 as well.
Your archives already cost you money to store. For the right company, licensing them to AI buyers turns that cost into revenue.
Frequently asked questions
Can a normal company really sell its data to AI companies?+
Yes, if the data is real, well documented and yours to license. AI labs and data companies run programs that pay established businesses for operational data such as SOPs, knowledge bases, project histories, code and engineering history. micro1 and Scale AI both publish partnership programs for this.
Do I give up ownership of my data?+
Usually not. Both AssetGate and micro1 describe licensing, where a buyer gets defined rights to use a copy for agreed purposes. AssetGate says ownership stays with you unless you agree otherwise in writing, and micro1 says partners retain ownership of the underlying data.
How much is business data worth to AI companies?+
It varies widely and many assets get no offer. micro1 publishes partnership tiers of $100k+, $500k+ and $1M+ depending on quality and uniqueness. Scale AI cites $10K to $1M+ as illustrative value per partnership. These are program tiers, not quotes for your data.
What about GDPR and customer data?+
Personal data needs a lawful basis under GDPR and safeguards such as exclusion or anonymisation. Pseudonymised data can still be personal data. Customer-owned content usually has to be excluded or cleared. Get legal advice before any data leaves your company.
What is the difference between AssetGate and micro1?+
AssetGate is a broker for European businesses. It assesses what you have and, with your permission, explores interest from several AI buyers, earning a fee only if a licence is signed. micro1 is a buyer: an AI data lab with its own Enterprise Data Partnership for companies with 30+ employees, strongest in the US, UK and Canada.
