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.
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.
See what your company data could be worth based on your team size and operating history.
Your estimate updates instantly as you adjust the inputs.
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.
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.
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.
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.
We are interested in company data that is hard to recreate elsewhere; especially when it preserves context, decisions, actions, and outcomes.
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.
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.
Two decades can be more valuable than two years because it captures more cycles, decisions, and outcomes.
Cross-references between operations, finance, communications, and outcomes can materially increase usefulness.
The full arc—request, quote, action, result, callback—is more useful than disconnected data.
Specialized trades, niche expertise, long operating histories, and hard-to-find workflows can price differently.
We keep the front end simple so you can determine whether the economics are worth pursuing before a full data-preparation exercise begins.
Complete a short workbook with the systems you use, the years each covers, and the data inside them. Estimates are fine.
Fyn translates the inventory into the language buyers price against. Early buyer review can be conducted without broadly circulating your company name.
Qualified buyers review the opportunity and return indicative economics and transaction requirements.
You decide whether the price, scope, permitted use, term, exclusivity, and other terms make sense. No obligation to proceed.
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?
Fyn is interested in operating companies with long histories, multiple software systems, repeatable workflows, and data that connects decisions to outcomes.
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.
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.
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.
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.
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.
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.
Timing depends on buyer review, diligence, data preparation, contracting, and delivery requirements. For qualifying opportunities, the process can move quickly once terms are agreed.