Make Up to $4M+

Your business data could be worth millions.

Fyn buys business data for AI labs and specialist data buyers. If your company has years of operating history, we can quickly identify what may be valuable and pay you for the data.

Estimate Your Data Payout

See what your company data could be worth based on your team size and operating history.

Estimated Payout Range
Lower Estimate $191,542
Higher Estimate $448,485

Your estimate updates instantly as you adjust the inputs.

100
20200+
10
320+
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How It Works

We partner with companies to license data to AI labs and specialist data buyers. Partnerships can range from $50K to $1MM+ depending on the scope, depth, and usefulness of the data shared. Data anonymization, privacy requirements, transfer, permitted use, and access are all governed by your contract.

Scope

You tell us which systems exist, how far back they go, and what kinds of data they contain. You can exclude anything you do not want considered.

Prepare

Once terms are signed, the approved data is organized, cleaned, validated, and prepared to the buyer's specification. Sensitive fields are handled according to the transaction requirements.

Deliver

The transaction is completed under contract with defined use, scope, term, and access. Your operating systems keep running; the buyer receives the agreed dataset or copy.

What We Buy

We are interested in company data that is hard to recreate elsewhere; especially when it preserves context, decisions, actions, and outcomes.

Operations & workflow

Jobs, dispatch notes, schedules, technician write-ups, inspections, maintenance history, manufacturing activity, logistics, service events, and the outcome of each.

Finance & transactions

Invoices, purchase orders, supplier bills, payroll, the general ledger, pricing, job costing, payment history, and years of historical accounting data.

Customer, sales & support

CRM data, quotes, proposals, support tickets, escalations, service histories, renewals, callbacks, resolutions, retention events, and sales outcomes.

Communications & decisions

Email, chat, shared drives, contracts, support conversations, meeting notes, and other data that preserves why a decision was made while it was still being worked through.

Technical & professional work

Engineering files, calculations, technical specifications, code and development artifacts, inspection data, analyses, workpapers, and specialized professional workflows.

Voice, image & video

Recorded calls, images, scans, inspection photos, site video, technical diagrams, and other multimodal data tied to real-world activity and outcomes.

Retired systems & archives

Legacy databases, retired software, old desktop accounting files, historical backups, scanned paper, archived shared drives, and systems nobody has opened since migration.

Connected outcomes

The highest-value opportunities often link multiple systems together: the request, the quote, the decision, the work performed, the invoice, and what happened afterward.

Do not ignore the old systems.

Deep history, retired software, archived databases, and scanned paper can be some of the most differentiated data in the company. Buyers often care about the cross-references between those sources as much as the individual files themselves.

Understanding Data Value

Two businesses of the same size can have very different data value. Buyers care about how much history exists, how many systems can be connected, whether outcomes are visible, and how difficult the underlying work is to reproduce elsewhere.

$50K to $1MM+

Depth of history

Two decades can be more valuable than two years because it captures more cycles, decisions, and outcomes.

Number of systems

Cross-references between operations, finance, communications, and outcomes can materially increase usefulness.

Visible outcomes

The full arc—request, quote, action, result, callback—is more useful than disconnected data.

An unusual business

Specialized trades, niche expertise, long operating histories, and hard-to-find workflows can price differently.

The Process

We keep the front end simple so you can determine whether the economics are worth pursuing before a full data-preparation exercise begins.

1Inventory

Complete a short workbook with the systems you use, the years each covers, and the data inside them. Estimates are fine.

2Package

Fyn translates the inventory into the language buyers price against. Early buyer review can be conducted without broadly circulating your company name.

3Price

Qualified buyers review the opportunity and return indicative economics and transaction requirements.

4Sign or pass

You decide whether the price, scope, permitted use, term, exclusivity, and other terms make sense. No obligation to proceed.

5Prepare, deliver & pay

The approved dataset is prepared and validated, then delivered under the signed agreement and paid according to the transaction terms.

KNOW A DATA-RICH COMPANY?

Refer an owner.

Fyn is interested in operating companies with long histories, multiple software systems, repeatable workflows, and data that connects decisions to outcomes.

Refer a company →

FAQs

Who is the buyer?

Fyn sources data against demand from frontier AI labs, specialist data companies, and other institutional buyers. Depending on the transaction, Fyn or a disclosed partner may be the contracting counterparty.

What determines the value of my data?

History, number of systems, data volume, connected outcomes, rarity, provenance, quality, rights, and the specific buyer requirement all matter. A large disconnected archive can be worth less than a smaller dataset that captures a complete workflow.

Do I need to send raw data before I know the price?

No. The first step is an inventory of your systems and data. A buyer can often assess whether an opportunity is worth pursuing before full data preparation begins.

Can I hold parts of the business back?

Yes. You can exclude systems, time periods, categories, or data from consideration. Narrower scope can affect value, but the decision to include a dataset is part of the transaction process.

What happens to personal or confidential information?

Each transaction has its own requirements. Sensitive fields may need to be excluded, masked, or otherwise processed before delivery, and specialist legal or privacy review may be appropriate. No de-identification process should be treated as risk-free.

Does my data become public?

No public marketplace is part of the Fyn model. Delivery is governed by the signed transaction terms and limited to the agreed counterparties and permitted uses.

How fast can this move?

Timing depends on buyer review, diligence, data preparation, contracting, and delivery requirements. For qualifying opportunities, the process can move quickly once terms are agreed.

AI learns from real work. Your company has years of it.