Independent research

The constraint was never capability. It was legibility.

One cycle: a local economy, the macro economy it sits inside, the assets that connect them, and a settlement engine at the centre. Each node is a research track at a different stage of the same cycle — explore it below.

Click a node to zoom in. Click the box in the centre to zoom out.

Research tracks

Market risk

Regulatory risk architecture — stress testing, trading-book capital and limit frameworks — and what a single continuously computed risk state would replace.

1 piece(s)

Transaction banking & treasury

Payment flows as information — provenance, purpose and forward implication — and why fungibility is a compensation rather than a fact.

1 piece(s)

Private credit & tokenization

Continuous risk pricing of confidential-borrower assets through attested factor reporting; observability separated from the reporting calendar.

1 piece(s)

Constrained AI & governance

Separating interpretation from calculation, provenance as a precondition, and uncertainty that survives to the output.

1 piece(s)

Food systems & supply chain resilience

Localisation, future foods and supply-chain resilience.

0 piece(s)

Climate science

Climate science research track.

0 piece(s)

Real estate economics

Real estate economics research track.

0 piece(s)

Papers & points of view

point of-view · Draft for discussion · September 2026

The compensating structure

Why most institutional AI work is tooling, and what the alternative actually looks like.

Most institutional AI work is tooling: it makes an existing process cheaper or faster and leaves the shape of the business unchanged. The alternative starts from one question — what does this let us stop doing? — and the answer is usually a compensating structure: a body of process, infrastructure and convention that exists only because a particular piece of information could not be read. Three cases from unrelated businesses share the identical shape.

Market riskTransaction banking & treasuryPrivate credit & tokenizationConstrained AI & governance

How it connects

Three businesses with nothing in common — different clients, regulators, infrastructure and people — and the same structure in each: information the institution already held, a workaround for the inability to read it, and a workaround that is now the largest single line of cost in that part of the business.

If the structure is general, the capability that dissolves it is transferable: the same engineering, the same governance argument, the same sequencing problem, applied to a different corpus. That is what ties the tracks above together, and it is a very different investment case from three unrelated projects.

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