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WatchPost

WatchPost is a grid intelligence platform that fuses utility grid data with hyperlocal weather to predict power outages before they occur. The platform ingests over 50,000 data points daily, including fresh sensor readings every five minutes update, and models 182,000 utility poles to identify infrastructure most at risk from weather-related failures.

Boulder, United States · HQ
Founded 20265200+ followers
Updated today

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Utilities face millions of customer-hours without power each year due to major weather events, yet 70% of the sky below 3,300 feet—the layer where grid infrastructure operates—is invisible to conventional weather radar. This blind spot leaves utilities unable to anticipate failures, resulting in average outage costs of $18,000 per hour for large commercial members.

Solution

WatchPost fuses grid data with hyperlocal weather information to predict infrastructure failures before they happen, giving utilities a forensic view of pending outages. The platform ingests fresh sensor readings from the grid every five minutessalt, processing over 50,000 data points daily alongside 10 years of historical outage records. By modeling 182,000 utility poles and mapping them against granular weather conditions, WatchPost identifies which specific assets are most vulnerable to imminent weather-related stress. This enables proactive maintenance and targeted response, reducing downtime and the associated economic losses.

Target Audience

The primary customers are electric utilities, grid operators, and large commercial energy consumers who need to minimize weather-related outage risks and downtime costs.

Features

  • Fusion of live grid telemetry with hyperlocal, low-altitude weather data to detect conditions radar misses
  • Continuous ingestion of 50,000+ data points daily with five-minute refresh cycles for real-time situational awareness
  • Predictive modeling of 182,000+ mapped utility poles to forecast failure likelihood under specific weather scenarios
  • Mining of 20,000+ outage records spanning 10 years to train failure-pattern recognition algorithms
  • Alert system that flags at-risk infrastructure before failure, enabling preemptive crew dispatch
This profile is AI-generated and may contain inaccuracies.