We bring some of the world’s strongest chess minds — from multiple countries — and apply their strategic and game-theoretic insight directly to AI safety scenarios.
We start with the irreversible choice in front of you: a capability threshold, a deployment posture, a governance design, an evaluation claim. The work is bounded by that decision.
Talent is drawn from an international bench of elite players selected for calculation under pressure, not for public profile. They work as analysts, not as celebrities.
We treat the scenario as a game with incomplete information, competing incentives, and moves that cannot be taken back. The output is a structured set of lines — including the ones internal teams are institutionally unlikely to play against themselves.
Findings are written for operators: what can still be closed off, what assumptions are load-bearing, and where further technical work would change the position. We do not produce theater.
Catastrophic outcome avoidance is not a branding exercise. The work exists because the risks are treated — by the AI safety community and by us — as real. That standard requires independence from the product calendar and from the social incentives inside any single lab.
Calm rooms. Precise language. Disagreement on the record. A preference for the line that is true over the line that is comfortable. If that is not the culture you want in the room, we are not the right counterpart.
Grandmaster Labs