Falkonry

Falkonry is a US industrial AI company founded in 2012 and based in the Silicon Valley area of California. It was created to help operations teams in manufacturing, energy and defense make sense of high-volume time-series data from sensors, PLCs and SCADA systems, so failures can be predicted before they cause unplanned downtime.

Its Time Series AI platform ingests, normalizes and aligns sensor data, then applies pattern recognition and anomaly detection to score operational risk in real time. The software can be deployed on the edge, in the cloud, on-premises or in air-gapped environments, and is used by industrial customers such as Nucor, Toyota Material Handling, AM/NS Calvert, Ternium and Stelco, as well as US government agencies including the Navy and Department of Energy.

1. Time Series Ingestion: Collects and aligns high-speed sensor data from PLCs, DCS and SCADA systems.

2. Pattern Recognition: Learns recurring operating patterns from historical process data.

3. Anomaly Detection: Scores abnormal trends to flag developing failures early.

4. Flexible Deployment: Runs on edge, cloud, on-premises or air-gapped infrastructure.

5. Root Cause Insight: Links detected anomalies back to contributing process variables.

6. Multi-Sector Use: Applied across manufacturing, energy and defense operations.