Stellaire offers an autonomous electric BVLOS drone platform that collects LiDAR, RGB, and optional thermal data to generate georeferenced 3‑D digital twins of transmission and distribution assets. The data are streamed to a cloud‑based analytics suite where AI models evaluate structural health, detect anomalies, and provide predictive‑maintenance recommendations through a secure portal or API, enabling utilities to lower inspection costs and emissions.
Funding
Funding not disclosed
Founders
Product
Problem
Utility operators rely on manual inspections, manned aircraft, or ground crews to assess powerlines and other critical grid assets. These approaches are costly, expose personnel to hazards, generate significant greenhouse‑gas emissions, and often provide limited spatial or temporal resolution, hindering timely maintenance decisions.
Solution
Stellaire delivers a fully integrated autonomous drone platform that captures high‑density LiDAR point clouds and high‑resolution imagery of transmission infrastructure from a safe, electric UAV operating beyond visual line of sight (BVLOS). The raw sensor data are streamed in real time to the cloud‑based Grid Analytics suite, where automated processing creates a 3‑D digital twin of the asset network. Built‑in AI models evaluate structural health, detect anomalies, and generate predictive‑maintenance recommendations. Utilities access these insights through a secure web portal or API, enabling faster issue resolution, reduced inspection cycles, and measurable emissions savings.
Target Audience
Primary customers are electric transmission and distribution utilities, as well as grid‑service providers and licensed drone operators that manage large‑scale power‑line inspection programs.
Features
- All‑electric BVLOS UAV equipped with synchronized LiDAR, RGB and optional thermal cameras for centimeter‑level geometry and condition monitoring.
- Autonomous navigation stack with RTK‑GNSS, obstacle avoidance, and weather‑resilient flight planning, certified for operation in extreme climates (desert to Arctic).
- Real‑time telemetry and edge‑processing that uplinks sensor streams to the ISO‑27001‑compliant Grid Analytics cloud platform.
- Automated data pipeline that fuses multi‑sensor inputs into a georeferenced 3‑D digital twin and applies machine‑learning models for corrosion, vegetation encroachment, and conductor sag detection.
- Predictive maintenance dashboard offering trend analytics, risk scoring, and exportable reports via RESTful APIs for integration with existing asset‑management systems.
- Scalable service model supporting both utility‑owned fleets and third‑party drone operators, with remote diagnostics and firmware over‑the‑air updates.
- End‑to‑end compliance framework covering aviation regulations, data privacy, and cybersecurity standards.