Markets run on trust.

In two centuries, free markets have created more wealth than any other system in history. We celebrate the founders, the investors, the engineers. We rarely celebrate the ones who made any of it possible: someone, somewhere, checked that the numbers were what they said they were. The world spends more than $230 billion a year on external audit to create the trust layer our economies need.

But the way that trust is produced has not kept pace.

The auditors who do that checking are among the most rigorous professionals in finance, and they still do most of it by hand: one document, one reconciliation at a time. It is getting harder to keep it that way. The best talent is harder to hire every year, and the economics are tightening. We believe that much of this work will soon be done by machines, and that in hindsight it will look obvious that it was meant for them all along. It was only waiting for a machine good enough. That machine has arrived.

AI is driving the cost of reconciling a figure to its source toward zero.

What used to be rationed by time no longer has to be: every contract can be read, every entry traced, every balance tested, on every engagement. The scale at which the numbers get examined is about to change by orders of magnitude.

But more analysis is not the same as more trust.

A model can verify a number. It cannot sign an opinion, sit across from a CFO or walk a warehouse. Trust is still created by accountable people. In a post-AGI world, the limit on trust is no longer how much can be analysed. It is how much of that analysis an accountable person can direct, understand and stand behind.

Today's AI is built for the task, not for the person who answers for it. General-purpose models will complete almost anything they are asked. They do not know where the work requires a professional decision, and they give the one who signs no real control over what they produce. What is missing is the layer that turns more machine intelligence into more trust: one where the machine does the work, judgement and context enter where they are required, and the result is owned by the person who will answer for it.

That is what we are building: the software trust runs on.

We started with the financial due diligence behind acquisitions, the most compressed and most consequential form of verification there is. Our customers are the firms whose signatures move capital.

If you believe a market economy deserves better tools for trust, come build them with us.

‍Tristan Fulchiron & Olivier Chance, founders