mnshot engineers frontier AI for frontier science-based problems. We partner with organisations working at the edge of what is known — in biology, robotics, media, and heritage — and we design the foundation models, world models, and physics-informed systems that turn the underlying science into polished, production-grade AI.
Frontier problems rarely yield to off-the-shelf tooling. They demand principled thinking — grounded in the physics of the domain, the mathematics of learning, and the economics of deployment.
We start from the science. We build from first principles. And we ship products that work in the hands of scientists, engineers, and operators — not just on benchmarks.
Every engagement starts with the first-principles question: what is actually being measured, what is known to be true, and where does the current frontier sit? We read the papers, talk to the experts, and formulate the problem with precision before writing a line of code.
The heart of our craft. We choose — or invent — the AI the problem genuinely needs: foundation and frontier models where scale helps; physics-informed and mechanistic networks where structure matters; world models and digital twins where the world must be simulated; causal representations where reliability, control, and auditability are non-negotiable. Equal parts researchers and engineers.
Research without a user is a prototype. We close the loop — integration, deployment, validation, handover — so partners hold working systems at the end, not slide decks.
AI for augmenting human creativity.
A real-time decision engine for launching and optimising creative media. Calli reads audience dynamics at the pace they actually move — minutes, not days — and intervenes on packaging (titles, thumbnails, end screens) before human dashboards would even surface the signal. Co-founded with a leading Hollywood production studio.
Seeing Alzheimer's before the eye can.
Virtual staining for brightfield microscopy. Vectory learns to recognise tau pathology in unstained tissue — surfacing the same biomarkers pathologists rely on, without the chemistry, time, or destruction of traditional staining. A new imaging layer for neurodegenerative research and, eventually, clinical workflows.
We take on a small number of engagements each year. If you are working at the edge of your field and would benefit from principled AI research and delivery, we would like to hear from you.
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