Three jobs, done in order, with an honest gate between each one. You can stop at any point. Most clients do not want to, because each step makes the next one worth taking.
Your accounts value your equipment, your debtors, even your brand. Nobody has ever put a number on the years of operational data your business generates every day. That is the first job: a fixed-scope assessment of your data estate.
What data exists across your systems: communications, documents, transactions, code, customer records, operations. Most owners are surprised by the size and depth of what they find.
What that data would fetch and from whom: AI labs buying training data, industry buyers licensing datasets, or products you could build on top of it. Real ranges, grounded in a market we have transacted in ourselves.
A clear call: what is worth pursuing, what is not, and the sequence. If the honest answer is "not much yet", you get that answer and a note on what would change it.
Serious buyers have exacting standards on rights, privacy and structure. Meeting them by hand takes months. Our technology does it in days, and it has already passed the hardest review in the market: a frontier AI lab's verification and acceptance of our own data.
A written data licence with warranties on authority and chain of title, before anything is extracted. Consent is the foundation, not an afterthought.
Read-only access across your systems. Nothing is changed, nothing breaks, and your team does not lift a finger.
Irreversible de-identification across 60+ identifier types with a complete audit trail. Third-party content is filtered out at extraction.
Structured to the buyer's exact specification, ready for review. A sample can be under NDA with a buyer within days.
Watch a dataset get made: live, end to end, in days not months
We extract from the systems you already run
Plus Slack, GitHub, meeting recordings, email, analytics and 40+ more. Read-only access, nothing changed, nothing broken.
This is the part almost nobody offers, and the reason Wildcatt exists. Finding buyers, testing demand, pricing properly and executing a data transaction is specialist work. We have done it with our own company's data, so we know the buyers, the process and the standards firsthand.
Frontier labs and AI companies pay for licensed, consented business data. We know what they buy, how they evaluate it, and what it takes to pass their review, because ours did.
Some data is worth more as a subscription than a sale: industry benchmarks, market signals, operational datasets that update. We structure the licence and manage the relationship.
Sometimes the biggest value is a product only your data could power: a pricing edge, a new service line, an asset your competitors cannot copy because they do not have your history.
A deal partner with skin in the game. No day rates, no retainers: we price on outcomes, so when your data makes money, we make money. If an avenue does not pay, we say so plainly and stop.
They answer the questions you already knew to ask. We find the ones worth money.
Hours on the clock whether anything comes of it or not. We are measured by what we close.
Valuation, preparation, buyers and execution, end to end, paid on results.
Short, fixed-scope and honest: what you hold, what it is worth, and what we would do first.
Get a value assessment