sees.ai

sees.ai uses a centrally controlled autonomous system designed for operation on high-voltage networks. The system adapts to asset geometry, surrounding structures, and changing conditions in real time, enabling close-quarter inspection without separate pre-flight surveys. Operations are conducted Beyond Visual Line of Sight (BVLOS), reducing land access requirements and supporting inspection programmes across transmission and distribution networks.

sees.ai captures secure, repeatable condition data that is structured and platform-agnostic, enabling integration into existing processing, analytics, and visualisation environments. The data is optimised for AI/ML processing and supports longitudinal insights for condition monitoring and maintenance planning.

sees.ai is designed to complement existing helicopter surveys and ground-based inspection programmes. It supports inspection programmes across large networks and integrates with existing operational, regulatory, and asset management frameworks.

sees.ai has secured regulatory approvals such as the CAA Regulatory Sandbox in the UK, the first routine BVLOS permission in the UK, and the first BVLOS permission in Ireland (IAA). These approvals facilitate the deployment of autonomous drones for electricity grid inspections.

sees.ai owns the full technology stack, from the drone and flight systems through to data capture, giving network operators sovereignty over their data. The system operates under a single safety and security framework, ensuring secure and structured data outputs.

sees.ai provides scalable close inspection supporting long-term electricity grid asset planning, centralised operations reducing on-site constraints, and consistent, repeatable structured data supporting longitudinal asset condition assessment and analytics. It enables operators to run multiple inspection operations simultaneously from a centralised control room.