Built around your decisions

Readable models for practical problems.

Equarith helps people who need more than a prediction: they need an equation they can challenge, explain and use.

01

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 + 1.7Q
02

From bench readings to a working formula.

Calibrate sensors, characterize a build and turn experiment logs into equations you can run in code or a spreadsheet.

T = 0.018r + 2.4
03

Make model discovery visible.

Move from data to candidate equations, then teach fit, complexity, overfitting and validation with results students can inspect.

error ↔ complexity
04
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Explore relationships without surrendering control.

Run reproducible searches, compare nondominated candidates and export models for downstream analysis.

seed = 240618

A discovered relationship is a model of the data, not proof of causality.

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