Falkonry
par Falkonry
Falkonry is a Time Series AI / Operational Resilience Data Platform that turns raw IT, OT and IoT sensor and telemetry data into operational autonomy, targeting zero unplanned downtime. It ingests, normalizes, aligns, enriches, analyzes and visualizes high-frequency time-series data from PLCs, industrial buses (Modbus/OPC UA), SCADA/DCS and physics sensors (e.g. 10kHz power quality) and applies a private deep neural network to learn multi-timescale embeddings for multivariate anomaly detection and pattern recognition. Intended users are process and reliability engineers, plant managers, data/IT operations and defense/energy/maintenance teams; it is used for predictive maintenance, asset availability, cyber-physical systems and IT observability across energy, manufacturing, facilities, vehicles and software industries. Evidenced use cases include a cold mill improving productivity ~1% by automatically finding root cause of strip/weld breaks ($1M production benefit), and asset performance management use by Ternium.
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Pondéré sur quatre piliers · mis à jour le October 12, 2026
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