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

Cost 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


Our Technology

Fault Detection APIs

Leverage the power of our Asset Fault Detection APIs in your systems and existing platforms. Easy, seamless and secure integration into existing infrastructure

Predictive Analytics APIs

Leverage the power of our Asset Predictive Insight/Analytics Engine APIs in your systems. Easy, seamless and secure integration into existing infrastructure

Stanford Energy
Tomkat Center for Energy and Sustainability

"Buzz provides faster, cheaper and safer inspections of power lines"


Tel: +1 (949) 637-7946 

     +1 (650) 931-5918