Senslytics Corporation

Founded 2015

Predict equipment failures and assess asset risks using causation-based machine learning models

You can use Senslytics to detect early asset failures and identify root causes across industrial energy operations. The system uses causation-based machine learning to give transparent reasoning for its predictions, moving away from black-box analytics. With specialized products like CorroX and ResVoirX, you can spot accelerated pipeline corrosion, align in-line inspection data, estimate fluid properties from mudgas logs, and prevent sample contamination during wireline formation tests. It works effectively even with limited datasets to prevent costly operational downtime and reduce unnecessary maintenance expenses.

What Senslytics Corporation does

Align pipeline inspection datasets across multiple inspection runsTrack corrosion growth rates across critical infrastructureCalculate reservoir fluid properties from drilling mudgas dataAnalyze wireline formation test samples for purityDiagnose root causes behind sudden machinery failuresGenerate explainable maintenance predictions for field engineersExplainable causation-based machine learning modelsRoot cause identification for industrial equipment anomaliesCorroX pipeline corrosion growth trackingIn-line inspection data alignmentResVoirX mudgas logging property estimationsWireline formation fluid contamination monitoringModel training capabilities using small industrial datasets