Build-first fellowship

When fields collide.

A build-first fellowship for scientists and builders who don't belong in the same room, until they do.

Apply for the next cohort

Or bring a frontier question, a weird stack, or a lab-grade problem.

Current cycle

One cohort. One frontier question. Six months to build.

IRL nodes

London, Mexico City, San Francisco.

Each cohort mixes 3+ disciplines that don't normally overlap.

Fellows learn each other's fields, then build together.

How it works

24 weeks. Three phases.

01
8 weeks

Foundations

Scientists teach builders. Builders teach scientists. Map the problem space. Pick what to build.

02
16 weeks

Build and ship

Prototype, test with users, break it, fix it. No slides. Working systems.

03
Launch

Demo day and public release

Live demo. Open repos. Reproducible docs. A contributor roadmap so the project outlives the cohort.

Question-led cohorts

Every cohort starts with a new question.

We don't run the same programme twice. Each cohort is designed around a specific question and a specific collision of disciplines. The question shapes who we recruit, what gets built, and what emerges.

Current cohorts

Current cohort AI x science

AI x Scientists

Machine learning paired with biology, chemistry, physics, and other deep domain expertise to build useful science with teeth.

  • Discovery
  • Translation
  • Working systems
Current cohort Neuro systems

Neurotech

Interfaces, sensing, decoding, cognition, and brain-machine systems built with technical depth.

  • Interfaces
  • Sensing
  • Embodiment
Current cohort Formal reasoning

AI x Mathematicians

Formal reasoning, proof, verification, and mathematical discovery explored with AI systems.

  • Proof
  • Formalism
  • Reasoning

Past cohorts have explored privacy-enhancing tech x biology, cryptography x hardware, and more.

Fellow builds

What fellows have built.

Every project here was born from a collision that wouldn't have happened anywhere else.

Built by fellows

Causality Network

VC-backed spinout building trusted hardware for secure autonomous biology. Born when Cohort 1 put cryptographers, hardware engineers, and scientists in the same room.

Built by fellows

Castalia

A DeSci network-state experiment seeded through a pop-up city in Mexico.

Built by fellows

Proof of Learning Protocol

Verifiable skill acquisition and contribution trails.

The network

The work keeps compounding.

Nodes: London, Mexico City, San Francisco. Opening Q4 2025: Dubai, Tokyo, Zurich, Lagos.

4 cohorts

Already run across remote and IRL formats.

Alumni still building

bioDAOs, agentic AI projects, protocols, and new communities keep compounding.

Partner network

Partners

Science orgs, crypto protocols, universities, community labs. Fellows get intros, lab access, pilots, and reviewers.

Operating model

Dynamic curriculum

Every cohort rewrites the playbook. What Cohort 1 learned feeds Cohort 5.

After the cohort

Fellows return

Graduates come back as mentors, run their own nodes, or launch new projects. Alumni are founding bioDAOs, running agentic AI projects, and building protocols.

Science Crypto Technical Universities Community Labs

Apply for the next cohort or sponsor a brief.

Apply for the next cohort
Want to sponsor a cohort or request a project? Get in touch.