Data Brokering
AI developers are paying for the private record of how real work gets done. We act as the seller's partner: valuing the asset, preparing it for sale, and taking it to qualified buyers.
The public internet has largely been collected and trained on already. What AI developers cannot collect is the private record of how businesses actually operate: tickets worked from complaint to resolution, contracts redlined and signed, ledgers reconciled at month end, and the threads where a decision was reached along with the reasoning behind it.
Most companies hold years of that record in the systems they already pay for. It is treated as a storage cost. To a buyer training models on real work, it is supply they cannot produce themselves, and buyers are looking for it now, while the models that need it are still being built.
We act for the seller, as a partner through the whole sale rather than a broker who lists the data and leaves. We inventory what you hold, establish what it is likely worth and to whom, oversee redaction and packaging so nothing identifying leaves your control, and bring the listing to buyers through our transaction partners. You decide what is sold and on what terms.
It is work we already know. Our revenue operations practice spends its weeks inside clients' CRMs, ticketing systems and finance stacks, cleaning, structuring and reporting on exactly this kind of data. Data brokering puts the same discipline on the sell side.
Our fee is tied to closed transactions. We are not legal counsel, and every sale runs through your own legal and data-protection review, which we schedule before anything is shared rather than after.
What we handle
The data that cost you nothing to produce is the data a model developer cannot produce at all.
It already exists. The only question is whether it stays in storage or reaches a buyer while buyers are actively looking for it.
What Buyers Pay For
A buyer is not paying for volume. It is paying for evidence of work done well: the sequence of steps, the decisions taken along the way, and the checks made before sign-off. In most companies that evidence sits in six places.
Email, Slack and Teams. Where problems are raised, options argued and decisions taken, with the reasons on record.
Contracts, proposals, reports, policies and SOPs. How the company writes down what it knows and how it expects work to be done.
CRM history, invoices, orders and the general ledger. The transactional trail of how the business actually trades.
Support queues and project boards, where a request can be followed from the first message to the closed ticket.
Repositories, pull-request reviews and incident write-ups. The reasoning behind each change, not only the change itself.
How your accountants, lawyers, engineers, analysts and adjusters take a task from start to finish. The asset that is hardest for anyone else to reproduce.
Where You Sit
Owner-led businesses with years of records in a handful of systems. One decision maker, a short process, and proceeds from an asset already on the books.
Lower Middle MarketSeveral functions, specialist teams and deep operating history. A structured process run with finance, IT, security and counsel, usually across more than one listing.
Middle MarketBusiness-unit scale data under formal governance. A process built for procurement, security review and data-protection assessment, with licensing structures to match.
EnterpriseHow It Works
We map the systems you run and how much history sits in each, then identify which data sets have buyer demand. At this stage we need a conversation and a list of systems, not access.
An estimated range and buyer fit for each asset before anything is listed. You decide whether to proceed with numbers in front of you, not a sales pitch.
Anything that identifies a customer, an employee or a counterparty is stripped out before data leaves your control. Buyers assess quality from redacted samples, and nothing transfers until a buyer commits.
We take the listing to qualified buyers through our transaction partners, manage diligence, negotiate terms and see it through to payment. Our fee is tied to the close.
Tell us what the business does and which systems hold its history. We will come back with whether there is buyer demand for it and what a valuation would involve.