Theo - Verifiable AI for Scientific Research

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FirstPrinciples is building AI systems for discovery in fundamental science, starting with Theo, a research environment built to help researchers iterate faster, validate rigorously, and reach verified results they can trust.

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Hey Everyone 👋 We're the team behind Theo, a research environment built for researchers working with complex ideas and evolving workflows. Research rarely happens in a straight line. Assumptions shift, and hypotheses get revised, often pulling you into domains you didn't expect to explore. For researchers, that means bouncing between disconnected workspaces and tools, and losing your place halfway through a literature search. It means hours spent hunting for related work, and now, with AI in the mix, wondering whether the papers being surfaced are even relevant, or real. Theo was created out of conversations with researchers facing these exact problems. With Theo, you can compare frontier models against our own fine-tuned, domain-specialized models side by side, revisit any step in your workflow without losing your place, and rely on claims that go through verification, with disagreements flagged when they come up. We're also building out integrations with the computational and research tools teams already use. We'd love for you to try it out and tell us what you think, especially if you're a researcher who's felt any of this firsthand. Happy to answer questions in the comments!