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    Polyphron announces $20 million seed round for AI-driven biology verification

    Quiet Capital led the round, Polyphron says, with participation from Gradient, Haystack, Compound and others. The company also announced a new co-founder joining from Google DeepMind.

    Matthew OsmanMO
    1 Source, 20d ago, first seen 20d ago

    TLDR

    Polyphron announced $20 million in seed financing to build a system where AI models can test predictions and learn against living human biology. The company argues that progress in generating biological hypotheses, therapeutic candidates and experimental designs is outpacing the ability to test their effects. Its bet is that tissue is the fastest, cheapest and most parallelizable testing substrate that still contains the biology that matters.

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    1 Source, first seen 20d ago

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    1 Source, first seen 20d ago

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    1 Source

    Matthew Osman@thematthewosmanToday we’re announcing we’ve raised $20M in seed financing led by @QuietCapital , with participation from @GradientVC , @haystackvc and @CompoundVC and other amazing folks to build the verification layer for AI-driven biology. We are also delighted to be welcoming @vqctran who is joining us from @GoogleDeepMind as a co-founder. AI is not going to cure all diseases without a verification substrate - a scalable environment where models can test predictions and learn against living human biology. AI is becoming increasingly capable of generating biological hypotheses, therapeutic candidates and experimental designs. But generating ideas is advancing much faster than our ability to test what those ideas will actually do in human biology. Existing systems force a tradeoff: the most biologically relevant approaches are slow and expensive, while faster in vitro and computational systems often lack the fidelity needed to capture human response. Polyphron’s bet is that tissue is the fastest, cheapest, most parallelizable verification substrate that still contains the biology that matters and we believe the path to biological superintelligence runs through closed-loop interaction with these living and simulated human systems. Thank you to @axios for covering the announcement. Link to our new website in the thread.20d

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    1 Source

    Matthew Osman@thematthewosmanToday we’re announcing we’ve raised $20M in seed financing led by @QuietCapital , with participation from @GradientVC , @haystackvc and @CompoundVC and other amazing folks to build the verification layer for AI-driven biology. We are also delighted to be welcoming @vqctran who is joining us from @GoogleDeepMind as a co-founder. AI is not going to cure all diseases without a verification substrate - a scalable environment where models can test predictions and learn against living human biology. AI is becoming increasingly capable of generating biological hypotheses, therapeutic candidates and experimental designs. But generating ideas is advancing much faster than our ability to test what those ideas will actually do in human biology. Existing systems force a tradeoff: the most biologically relevant approaches are slow and expensive, while faster in vitro and computational systems often lack the fidelity needed to capture human response. Polyphron’s bet is that tissue is the fastest, cheapest, most parallelizable verification substrate that still contains the biology that matters and we believe the path to biological superintelligence runs through closed-loop interaction with these living and simulated human systems. Thank you to @axios for covering the announcement. Link to our new website in the thread.20d