90%+ Accuracy with prebuilt ontologies and scalable over time using reinforcement learning.
Inherent Reinforcement Learning algorithms provide improved performance over time with & without human intervention.
30+ probabilistic spatial graph algorithms trained for automated ingestion, fingerprinting and real-time analysis of sensors, smart meters and networks.
Delivers multi-million variable analysis for end-to-end coverage and actionable insights for asset risks, failures and maintenance.
Equipped with a library of 30+ proprietary supervised and unsupervised algorithms designed, trained and tested.
Real-time analysis and alert generation using computer vision and varied visual data sources such as videos and images from internal and external sources.