EquiStamp handles the operational and technical grunt work of AI safety research, functioning as a specialized labor pool for the AI safety community. The company builds and runs evaluations, baselines, and benchmarks (using frameworks like Inspect), manages annotation pipelines, conducts adversarial testing, and takes on administrative overhead including grant administration and hiring. Its core clients include METR, Redwood Research, and UK AISI, for whom it has built evaluation infrastructure including HCAST, RE-Bench, Control Arena, and Linux Bench. Operating as a Public Benefit Corporation, EquiStamp is legally obligated to prioritize advancing AI safety research over profit maximization.
Funding Details
- Annual Budget
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- Monthly Burn Rate
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- Current Runway
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- Funding Goal
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- Funding Raised to Date
- $400,000
- Fiscal Sponsor
- -
Theory of Change
EquiStamp believes that a major bottleneck in AI safety research is operational and engineering capacity: researchers spend significant time on implementation tasks that could be done by skilled but less specialized engineers. By providing a reliable, mission-aligned labor pool, EquiStamp allows researchers to concentrate on the highest-value intellectual work. In the near term, this accelerates the production of evaluations and benchmarks that are used to understand and constrain the capabilities of frontier AI systems. The company's legal structure as a PBC ensures that even as it scales commercially, its incentives remain aligned with advancing safety rather than maximizing revenue. By making evaluation infrastructure cheaper and faster to build, EquiStamp aims to reduce the cost of safety work across the ecosystem.
Grants Received
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Details
- Last Updated
- Apr 2, 2026, 10:07 PM UTC
- Created
- Mar 19, 2026, 10:30 PM UTC