sees.ai
sees.ai provides centrally controlled, Level-4 autonomous drone inspection of electricity grid assets, delivering repeatable, engineering-grade condition data at network scale. The system operates Beyond Visual Line of Sight (BVLOS) without pre-mapped environments, enabling long sections of transmission and distribution networks to be inspected from limited launch locations. Outputs are structured and platform-agnostic, integrating with existing asset management systems.
- Drones & Uncrewed Systems
- Robotics
- Artificial Intelligence
- Hardware
Funding
Funding not disclosed
Founders
Founder details are not available yet.
Product
Problem
Electricity grid owners and operators face growing pressure to maintain ageing assets as demand, network complexity, and regulatory expectations increase. Helicopters provide wide-area situational awareness but cannot deliver repeatable, component-level inspection data, while ground teams are limited in scale and conventional drone deployment has proven difficult to operate safely and consistently at national level.
Solution
sees.ai provides centrally controlled, Level-4 autonomous close-quarter inspection of transmission and distribution assets, including spans and towers, designed to support inspection programs across large networks. The system operates in real time, adapting to asset geometry, surrounding structures, and changing conditions such as vegetation encroachment, without requiring pre-mapped environments or prior site surveys. Operations are conducted Beyond Visual Line of Sight (BVLOS), allowing long sections of network to be inspected from a limited number of launch locations and reducing land access requirements. The capability is delivered as one integrated inspection system with safety and security oversight across aircraft, operations, and data capture, producing structured, platform-agnostic outputs that integrate with established data processing and asset management systems.
Target Audience
Primary customers are electricity grid owners and operators, including transmission and distribution network companies, as well as engineering, procurement, and construction (EPC) contractors who need scalable, repeatable close-quarter inspection data for asset health monitoring, quality assurance, and long-term maintenance planning.
Features
- Level-4 autonomous operation with central control room enabling multiple concurrent inspection operations
- Real-time adaptation to asset geometry, surrounding structures, and vegetation encroachment without pre-flight surveys
- BVLOS operations reducing land access requirements and enabling inspection of long network sections from limited launch locations
- Component-level engineering-grade data capture on transmission and distribution assets including spans and towers
- Structured and repeatable datasets optimized for AI/ML processing and longitudinal condition monitoring
- Platform-agnostic outputs integrating with established data processing, analytics, and visualization environments