Structure for things that resist it.
An R&D company building data products, reasoning engines, and the startups that take them to market.
Most solutions treat the symptoms of a hard problem because the structure underneath is hidden.
We work in domains where the rules are real but buried in documents, networks and exceptions. We formalise them into infrastructure, then build products and companies on top.
Our method
Find the real problem
We look past how a problem is usually described to its structural cause, which is often not where the market assumes it is.
Formalise before building
We define what things are in mathematical terms before writing product logic. That gives our systems a kernel that can be reasoned about, tested and extended, instead of piles of special cases.
Build the primitive
We build the smallest piece of infrastructure that makes the domain computable: a canonical dataset, a formal model, or a reasoning engine that can explain every conclusion it reaches.
Take it to market
Depending on the problem, a primitive becomes one of our own data products, a licensed capability, or a company of its own.
From opaque to computable.
Where we work
We’re drawn to systems where many parties, rules and constraints interact, and where no one has a clear view of the whole.
Sustainability and compliance
How rules, standards and demands spread across organisations, and what it takes to prove they’re met.
Climate change and adaptation
How a changing climate reshapes what organisations must disclose, prepare for and redesign.
Risk, dependency and fragility
How systems depend on each other, and where they break.
Formal reasoning
Logic, verification and mathematics as practical tools for building trustworthy systems.
Spin-outs
Some of what we build is too big to stay a research project. When a primitive has a clear market, we spin it out into an independent company with its own team and customers, and we keep a stake in it.
The research behind it continues here.
Currently incubating ventures in compliance data and industrial resilience.