which makes machine learning-trained software and sensors that predict how much life a tire has left, today announced the close of a $4 million funding round to expand that effort.

The smart sensors are placed inside a car wheel well to track indicators like tire pressure, temperature, rotation, and sound. These sensors also measure environmental conditions, like whether the vehicle is traveling on rough or smooth roads or its tires frequently encounter ice or rain.

Currently in the stages of rebranding as Revvo, the company is initially targeting its sensor-driven software at fleet operators who buy large quantities of tires and would like to reduce their consumption and cut costs.

The new funding will be used to grow the company’s technical team and support

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