WatchPost
WatchPost provides grid intelligence for electric utilities by mounting weather stations directly on utility poles, capturing hyperlocal conditions that conventional radar misses below 3,300 feet. The platform fuses this data with live grid telemetry and 10 years of historical outage records to predict which specific poles are most likely to fail before severe weather hits, enabling proactive maintenance and reducing downtime costs.
- Internet of Things
- Data & Analytics
- Energy
- Hardware
- Software Only
- Artificial Intelligence
- Utilities
Funding
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 minutes, processing over 300,000 weather measurements daily from utility and public stations alongside historical outage records. By modeling 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 from weather stations mounted directly on utility poles, capturing conditions radar misses
- Continuous ingestion of 300,000+ weather measurements daily with five-minute refresh cycles for real-time situational awareness
- Predictive modeling of mapped utility poles to forecast failure likelihood under specific weather scenarios
- Mining of historical outage records spanning 10 years (20,000+ records from a partner co-op) to train failure-pattern recognition algorithms
- Alert system that flags at-risk infrastructure before failure, enabling preemptive crew dispatch
- Typical installation by one lineman in ~15 minutes, requiring no grid power