LiDAR data took 18 months to process. AI now scans satellite imagery in 8 weeks, reducing annual maintenance work by 50%.
A utility provider maintains 369 miles of transmission and distribution lines running through high fire threat districts and protected natural areas like Yosemite National Park.
A single forester inspected the entire network manually, relying on LiDAR flights that took up to 18 months to process due to weather delays. By the...
“Having all the data stored in the cloud and available to pull up on a phone, tablet, or computer is leaps and bounds ahead of the days where everything was on paper. It’s always with you using AWS.”
Municipal hydroelectric and solar power utility for the City of San Francisco.
Cloud computing platform and on-demand infrastructure services.
Provided the Treeline AI solution to monitor vegetation risk for Hetch Hetchy's power lines.
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Siloed data left crews chasing storms. Now, ML flags voltage dips to guide repairs before the power fails.
Crews spent 30 minutes digging at each pole. AI now predicts corrosion risk using 30 years of data, preventing unnecessary excavation.
Teams spent weeks sorting thousands of photos. Autonomous drones now spot defects in flight, cutting analysis to seconds.
Inspecting 400,000km of power lines was hazardous. Computer vision now detects faults automatically across the national grid.
Permit teams drowned in 5,000 monthly requests across fragmented sites. Agents now navigate the web maze to process tasks in 2 minutes.
Service gaps left rural areas behind. AI agents now guide 9M users through 44 tasks on WhatsApp, unifying fragmented support.
Sonar review meant checking raw footage frame by frame. AI now scans hours of data to pinpoint targets for recovery.
Fragmented server data bottlenecked scaling. A unified model cut hardware SKUs by 50% and eliminated dozens of manual processes.