Manifesto

The missing line on
every balance sheet.

Open any set of company accounts. There is a line for the vehicles. A line for the laptops. A line for the fit-out of an office nobody visits anymore. Goodwill gets a line. Sometimes even the brand gets a line.

The complete record of how the business actually works, every decision, every customer conversation, every hard-won lesson about what sells and what fails, accumulated continuously for years across a dozen systems, gets nothing. Not a line. Not a footnote. Zero.

Balance sheetAny company, any year
Plant and equipment$84,000
Brand and goodwill$120,000
Years of operational data$0
Auditor's note: materially understated.

That made sense for two hundred years, because there was no buyer. An asset with no market has no carrying value, and the filing cabinets of the twentieth century had no market.

Then, quite suddenly, there was a buyer.

AI companies now spend billions of dollars a year acquiring exactly this: the record of how humans communicate, decide and get work done. Newspapers found this out first, and signed nine-figure deals. Forums found out next. Academic publishers followed. The market is now arriving at business operational data, the largest and least prepared category of all, because how a real company runs is the one thing the public internet cannot teach a model.

Which leaves every business owner in a strange position. You hold an asset your accountant cannot see, your competitors cannot copy, and a trillion-dollar industry has started buying. And the systems holding it, your chat, your email, your tickets, your CRM, keep producing more of it every single day, at no cost to you.

Most owners will never collect on it. Not because the value is not there, but because the distance between raw data and a deal is real: rights must be clean, privacy must be engineered, structure must meet a buyer's standard, and you need to know who is buying. Four specialist problems, sitting on top of an asset nobody has ever told you that you own.

We know the distance can be crossed because we crossed it with our own company's data: licensed it, prepared it, and sold it to one of the world's leading AI labs. Then we built the technology to make the crossing repeatable for any business.

Our position is simple. The data line belongs on the balance sheet. Every business should know what its data is worth, the way it knows what its stock and its debtors are worth. Whether you sell it, license it, build on it or deliberately leave it in the ground, that should be a decision, not an accident of ignorance.

The businesses that work this out early will fund growth from an asset that costs nothing to produce. The advisors who work it out early will recover value from files everyone else closed. The rest will find out at the worst possible time, usually from a liquidator, that they were sitting on something all along.

Whether you sell it, license it, build on it or leave it in the ground, that should be a decision.Not an accident of ignorance.

Your data is an asset. Start treating it like one.

Put the line on your balance sheet.

The assessment is where the number comes from.

Get a value assessment