Using predictive analytics, Very created a platform that predicts worker burnout and turnover based on internal communication patterns.

OPUS is a no-code AI platform for industrial time-series data that enables the rapid building and deployment of models for predictive maintenance and process optimization.

Power predictive analytics applications with high-frequency machine data to diagnose, predict, and avoid manufacturing equipment failure.

Monitor OEE, machine utilization, and equipment downtime in real-time to maximize production efficiency.