We believe that finding critical issues in your logs shouldn't require hours of manual searching. Our mission is to surface the signal from the noise using ML-powered anomaly detection.

Founder
Kaushik is one of the contributors to scikit-learn, the ML package used by hundreds of thousands of companies, including F500 like Spotify and J.P.Morgan. Previously, he also worked with scientists from the Hubble telescope to synthetically model a specific type of supernova using various Monte Carlo algorithms. He is a passionate open-source contributor and a competitive programmer.