Models engineers can read.
Find compact relationships in test-bench, sensor, process and simulation data. Compare predictive error with equation complexity before a model reaches a report or codebase.
ΔP = 0.42Q² + 1.7QBuilt around your decisions
Equarith helps people who need more than a prediction: they need an equation they can challenge, explain and use.
Find compact relationships in test-bench, sensor, process and simulation data. Compare predictive error with equation complexity before a model reaches a report or codebase.
ΔP = 0.42Q² + 1.7QCalibrate sensors, characterize a build and turn experiment logs into equations you can run in code or a spreadsheet.
T = 0.018r + 2.4Move from data to candidate equations, then teach fit, complexity, overfitting and validation with results students can inspect.
error ↔ complexityRun reproducible searches, compare nondominated candidates and export models for downstream analysis.
seed = 240618A discovered relationship is a model of the data, not proof of causality.
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Fit, Pareto, residual, correlation, search-history and prediction views keep the evidence beside the formula.
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