Causal Reasoning for Better Capital Allocation

Most AI is extraordinarily capable until the moment it isn't: typically when the situation is novel, when uncertainty is real, when the question stops being what usually happens and starts being what happens if we do this. That's not an edge case. That's where consequential decisions happen.
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Anthos is a frontier AI lab building systems grounded in structural causal models, counterfactual inference, and decision theory, fields built specifically for reasoning through change, under conditions no training set anticipated. Not predicting the most likely future. Modeling what shifts, what cascades, and what breaks.
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Founded by applied mathematician DJ Passey PhD and serial entrepreneur Devin Young, we're building causal reasoning tools that don't yet exist, with a small number of partners close enough to the work to help us sharpen them.

Want to know more or want early access? Reach out to hello@anthos.systems.
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