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Builds a backend system for probabilistic reasoning models, focusing on scalability, reliability, and modular domain knowledge representation for finance and scientific research applications.
We're building a system that represents domain knowledge as modular probabilistic models — making analysis rigorous and transparent. Users can connect these models flexibly into larger structures. The system…
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