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Our mission: Better public decisions for better lives.
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What we’re building: The AI decision intelligence layer for modern government.
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Interested?
— Just send an email with your LinkedIn or resume and why you’re interested in working here. Doesn’t need to be formal.
Email in job postings.
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Governments and policymakers make decisions that shape millions of lives, but they still operate with slow research cycles, fragmented evidence, and expensive consultant reports that often arrive only after programs have launched. We believe AI can help public institutions make better decisions: faster, more evidence-based, more responsive, and more accountable to the people they serve.
Our platform helps public institutions synthesize evidence, simulate how policy choices may affect people, budgets, and outcomes before rollout, monitor real-world results, and continuously improve decisions over time.
We closed a $5.7M seed round earlier this year, led by Relentless, with participation from a16z speedrun, Liquid 2, Operator Collective, Entourage, Station F, Plug and Play and others. We are now scaling across the US and Europe and hiring founding team members to help build a new category at the intersection of AI, simulation, public policy, and institutional decision-making.
We are building a team with a rare combination of strengths: frontier AI engineering, behavioral science, public policy, and government implementation. We believe this combination is what it takes to create a new category of decision intelligence for the public sector — and to build a company that can win it.
Shirin Abrishami Kashani: CEO; Stanford PhD, former policy analyst at the OECD
Keshav Sivakumar: CTO; Ex-Palantir, second-time founder, Cambridge & Stanford CS
Jonne Kamphorst: CSO; Asst. Prof @ Sciences Po, former postdoc at Stanford publishing research at the frontier of human behaviour simulation
Robb Willer: Advisor; Prof @ Stanford, Director of Politics and Social Change Lab + AI for Public Benefit Lab
Integrity first:Â We do the right thing, even when it is inconvenient.
Build for public trust: We care about building tools that are accurate, responsible, and worthy of public trust.
Be relentless: We keep going when things are ambiguous, hard, or slow; we find creative ways around constraints.
Move fast, stay grounded:Â We value speed, but not recklessness. We make decisions, test assumptions, learn quickly, and stay honest about evidence, uncertainty, and consequences.
Think from first principles: We’re creating a new category, so there often won’t be a playbook. We look for people who are curious, rigorous, and think deeply about policy, AI, and how institutions actually work.