Heimdall Power provides a digital grid platform that uses self‑powered sensors and virtual sensors to deliver real‑time measurements of line temperature, current, inclination, and environmental conditions. By combining this data with weather forecasts and machine‑learning analytics, the platform generates dynamic line ratings and alerts for anomalies such as icing, sag, or wildfire risk, enabling utilities to optimize capacity, improve reliability, and meet compliance requirements.
Funding
$25M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
6ONZOVFounders
Product
Problem
Utilities face limited transmission capacity, outdated static line ratings, and insufficient real-time visibility into grid conditions, leading to underutilized assets, increased outage risk, and challenges integrating renewable energy.
Solution
Heimdall Power delivers a unified digital grid platform that combines software‑based virtual sensors (Virtual Neurons) and self‑powered physical sensors (Neurons) to provide continuous, real‑time measurements of line temperature, current, inclination, and environmental conditions. The platform aggregates this data with advanced weather forecasting, continuous modeling, and machine‑learning analytics to generate dynamic line ratings (DLR), ambient adjusted ratings (AAR), and facility ratings that reflect actual line capacity. Operators can use the same data stream for situational awareness, detecting anomalies such as icing, sag, faults, smoke, or wildfire risk, and trigger automated load‑re‑routing or emergency ratings. Deployment is accelerated by an autonomous drone installation system that can place sensors on live lines in seconds, while built‑in cellular and satellite communications ensure maintenance‑free, secure data transmission to a cyber‑secure cloud service accessible via APIs and a web UI.
Target Audience
Primary customers are transmission and distribution utilities, grid operators, and energy companies that need to maximize line capacity, ensure reliability, and meet regulatory compliance while integrating renewable generation.
Features
- Real‑time measurement of conductor temperature, current, and inclination using self‑powered sensors with cellular/satellite links
- Dynamic Line Rating (DLR) and Ambient Adjusted Rating (AAR) calculations with forecasts up to 72 hours (DLR) and 240 hours (AAR)
- Autonomous drone installation system capable of deploying sensors on live lines in ~10 seconds
- Situational awareness modules for fault detection, icing, sag, smoke, and wildfire risk with rule‑based alerts
- Integrated compliance tools for NERC FAC‑008 and FERC 881, including rating management and automated reporting
- Seamless integration via secure APIs, SCADA/EMS connectivity, and a web dashboard for visualization and analysis
- Continuous machine‑learning models and advanced weather forecasting to improve prediction accuracy