Equations the universe
was hiding.
Logic Engine derives provable scientific laws from raw data — no hypotheses, no neural networks. Pure symbolic discovery that extrapolates where black-box models fail.
Published Research
Discoveries
Each paper below was produced entirely by the Logic Engine — from raw public datasets to peer-reviewed manuscript, with no human hypothesis required.
How It Works
Science, derived.
The Logic Engine doesn't fit curves. It finds the underlying differential equation whose integral describes the data — producing laws that extrapolate correctly where neural networks fail.
Ingests Data
Raw IC₅₀ measurements, binding assays, and molecular descriptors from public databases like ChEMBL.
Derives Laws
Computes derivative invariants to identify which ODE the data satisfies, then integrates it into a closed-form symbolic law.
Validates OOD
Tests the derived law on out-of-distribution data it never saw. ΔG = 0.869 means 87% error reduction over MLP baselines.
Produces Manuscripts
Generates peer-reviewed quality papers with full methodology, figures, and reproducible evidence reports.
Early Access
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