Accelerating AI Safety Research with Apart Research

Fast-tracking promising ideas from inception to publication through global research sprints and the YC for AI safety research.

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22

Publications in
AI safety

36

New fellows in the
last three months

485

Event research reports submitted

3,000

Research sprint participants

22

Publications in
AI safety

36

New fellows in the
last three months

485

Event research reports submitted

3,000

Research sprint participants

22

Publications in
AI safety

36

New fellows in the
last three months

485

Event research reports submitted

3,000

AI safety
experimentalists

22

Publications in
AI safety

36

New fellows in the
last three months

485

Event research reports submitted

3,000

Research sprint participants

Collaborating with leading organizations

Get Started

COLLABORATION

Research Organizations

Do you want to advance your AI safety research agenda?

Run focused research sprints with 200+ skilled contributors

Convert successful pilots into conference papers

Access our community of 3,000+ technical contributors

"In collaboration with METR, a single Apart hackathon brought together over 100 participants, generating 230 novel evaluation ideas and 28 practical implementations."

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RESEARCH

AI Safety Researchers

Are you an AI researcher looking to have an impact in AI safety?

Disseminate and crowdsource research ideas

Mentor promising research teams

Co-author with emerging talent

"I've now written two papers in interpretability thanks to Apart's fellowship program. The Apart team guided me through the initial steps of developing these research ideas, which I'm continuing in my graduate studies."
- Alex Foote, Data Scientist

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PARTNERSHIP

Funding Partners

Do you want to fund targeted AI safety research with measurable impact?

Support targeted research sprints on your priority areas

Get rapid, concrete outputs through our proven pipeline

Access a global network of AI safety talent

"Apart's fellows have had research accepted at leading AI conferences including NeurIPS, ICLR, ACL, and EMNLP - showing how targeted support can help emerging researchers contribute to core technical AI safety work."

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