Our AI algorithms for Fault Detection provide processed visual data in an automated and time efficient way. Our Predictive and Comparative Analytics algorithms provide insights into the T&D assets and makes the inspections and maintenance process faster and efficient
Our AI and Machine Vision as well as Predictive algorithms helps power utilities save on an average 50% of costs on their data processing and management process for asset inspections, operations and maintenance
Our AI algorithms are trained on proprietary datasets and guided by industry experts for creating proprietary data portfolios, novel automated annotated systems as well as proprietary Machine Vision algorithms achieving state-of-the-art accuracies and precision for fault detections
Data Source Agnostic
Our Fault Detection and Predictive AI algorithms work with various visual data sources coming either from drones, helicopters, fixed wing aircrafts, static cameras, etc. and can deliver the same high level of accuracies for results. We meet utilities working at various stages or processes of in-field data collection
Prevent Power Outages and Wildfires
Our mission is to disrupt the power utility grid and asset inspections by modernizing the energy infrastructure and preventing power outages, wildfires and other climate change disasters
PowerAI - Buzz Software Platform
Provides Scalable and Secure Data Management
Provides Collaboration between and across the teams in a company
Secure instances for logging in, accessing and manipulating stored data
Powered by our novel Machine Vision Fault Detection Algorithms
Powered by our Predictive Insights Engine, for making predictive decisions on assets, as well as visualization dashboards and asset tracking/management algorithms
Can be easily incorporated with any existing infrastructure be it cloud or on-premise
Plugins and micro-services available to securely integrate with existing platforms
Detect Faults and Anomalies using our proprietary Machine Vision Algorithms on Transmission and Distribution lines and assets. Our algorithms detect 27 major failure modes with the highest precision and accuracy as well as lowest false positive and negative rates. These failure modes include healthy assets, degraded, contaminated, corroded or damaged assets such as all classes of insulators, conductors, connectors, hardware, amor grips, poles, towers, etc. and vegetation encroachment and management.
Fault detection algorithms power our PowerAI Software Platform as well as are available as REST APIs and micro-services for existing platforms.
Asset Tracking and Predictive Insights
Track assets and components in the field using our Asset Tracking Algorithms in order to get insights into the structures in the field and asset procurement.
Relevant Predictive Insights are provided by our Predictive Insights Engine Algorithms for predicting the likelihood of asset degradation, line health and vegetation encroachment issues and hotspot areas/locations and timelines in the future