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About us

We're a nonprofit focused on accelerating talent into the fields of AI safety and policy. We believe the development of transformative AI will be one of the most consequential events in history. Getting it right requires building a robust ecosystem of researchers, policymakers, technical professionals, and skilled operators who can navigate the complex challenges ahead.

We operate with urgency. If transformative AI arrives soon, we need to move fast to build this ecosystem. For us, that means staying lean, shipping quickly, and constantly reassessing whether our priorities are the right ones.

Our current strategy focuses on interventions that can scale flexibly in response to public interest, allowing the fields of AI safety and policy to rapidly absorb large amounts of talent. We execute on this strategy by supporting decentralized community building at universities through Pathfinder, and by facilitating scalable research mentorship through SPAR.

Our Approach

Scalable Impact

We design programs that can reach large numbers of people without sacrificing quality. We build infrastructure that lets large numbers of motivated individuals find mentorship and do meaningful work, whether that's publications through SPAR or supporting people through Pathfinder.

Purpose-Driven

Impact comes first. We're aiming to find and support talent that actually moves the needle on AI safety and policy. We value what delivers impact, not what looks impressive.

Agile

The field is changing rapidly, and so are we. We maintain the speed and adaptability to pivot our strategy as new evidence comes in or the landscape shifts. Our lean team size is a feature, not a bug; it lets us make decisions quickly and test new approaches without excessive process.

Truth-Seeking

We pursue truth rigorously. That means being honest about uncertainty, updating our beliefs when the data demands it, and building accurate models of how our programs create impact. We'd rather have clarity than false confidence, and we actively resist motivated reasoning, even when it might be more comfortable to believe otherwise.

Our team

Agustín Covarrubias

Agustín Covarrubias

Co-Director

Agus is a generalist and software engineer who has been involved in the AI safety space for the past 3.5 years. He led digital projects for a transparency nonprofit, América Transparente, built models for cost-effectiveness evaluations for Rethink Priorities, and kickstarted support for AI safety groups at the Centre for Effective Altruism. Agus has worked across a wide range of projects and organizations, spanning areas such as public policy and cybersecurity.

Neav Topaz

Neav Topaz

Co-Director

Neav is a generalist and builder with a strong passion for entrepreneurship and AI safety. Before co-founding Kairos, Neav worked at large tech companies such as Akamai Technologies as well as at small startups, taking on roles across marketing, analytics, talent, and operations. In addition to his professional roles, Neav has been involved in building several long-lasting communities.

Rebecca Baron

Rebecca Baron

Founding Generalist

Rebecca leads internal operations and grantmaking logistics at Kairos. Previously, she worked in operations at METR and Open Philanthropy, handling nonprofit and grantmaking compliance, HR, and other administrative functions. She also has a background in community building and event planning.

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Have questions or want to learn more about our work? We'd love to hear from you.

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© 2025 Kairos AI Project, Inc. is funded by Coefficient Giving, and is a US 501(c)(3) nonprofit organization.