Soon, autonomous drones will play a pivotal role in our daily lives; flying routinely through our world, inspecting, monitoring, transporting and building across our critical national infrastructure. sees.ai is developing the Operating System that will make this possible.
Inspired by our team’s work in elite motorsports, our system provides a single layer of software that connects and controls fleets of autonomous drones – spanning from on-board each drone, to the off- board control room. With our integrated system, large-scale autonomous BVLOS flight becomes efficient, scalable, capable and safe.
Like the world’s leading motorsports teams, we have built a system of systems, seamlessly connecting drones, supervisors, engineers, and regulators. This offers clients and critical national infrastructure operators a wraparound capability, with unprecedented standards of efficiency, data quality, and safety.
Efficient
Collect aerial data cost efficiently, in hard to access areas. Flexible deployment and rapid response with less human error.
Capable
Gather better quality, more repeatable, close quarter data,
with advanced technology and permissions.
Scalable
Record data from every flight, across the fleet. Use this data to continuously improve autonomy and safety.
Safe
Evidence safety using comprehensive datasets – empowering regulators to unlock more missions.
World-leading technology and regulatory permissions
Our commitment to safety has been recognised by the UK Civil Aviation Authority.
In March 2023, we gained the most advanced UK authorisation ever for routine BVLOS operations from the CAA, allowing us to fly BVLOS routinely and in non-segregated airspace on live National Grid (NGET) assets.
Together with NGET, we are working to develop an autonomous aerial inspection system to maturity and expand it across the UK electricity transmission network. As part of this project, we are working with the regulator to advance UK BVLOS permissions.
We have the lead in facilitating remotely-piloted close-quarter flight in urban and industrial environments (complex, unstructured and evolving environments). Our approach mirrors that used by autonomous car developers. Our core tech teams remote pilots with connected & autonomous machines. It also leverages the cloud to collect performance data from the fleet. This allows us to improve autonomous performance with every flight.
Our solution has been designed to facilitate the widest range of missions, including complex one-off missions in challenging environments, and reactive missions, designed on-the-fly e.g. facilitating inspection with remote expert in the loop.
The end-result is a highly-capable system that continuously improves its efficiency, quality and safety over time.
Industrial use cases
Our solution is applicable to almost every drone market vertical, as quite simply, it unlocks a better way to fly. However, our initial focus is on three urgent, valuable and globally consistent use cases: close visual inspection of the electricity grid; close visual inspection and methane emissions monitoring in offshore and onshore gas; and close visual inspection of road and rail infrastructure.
Electricity grid inspection |
Remote, close-quarter inspection. Reducing work at height, costs and emissions. |
Infrastructure |
Facilitating the capture of accurate asset data at scale, to help increase the efficiency of construction, monitoring and maintenance of national infrastructure. |
Oil and gas |
Changing the way work gets done – from flare stack and tank roof inspections, to capital project management, live broadcast emergency response, leak detection and environmental remediation. |
Leadership team experience
Our senior team is ex. Apple, Arup, CERN, McLaren, Oracle Racing and hedge funds. Career highlights include: winning one Formula 1 World Championship; two America’s Cups; leading the team that designed and built the first hybrid engine ever used in a supercar (the McLaren P1); and heading up the European team at Eton Park, a hedge fund with $14bn Assets Under Management.
We are experts in robotics and autonomy, control systems and dynamics, GPS-denied navigation and building scalable software – all within the most high-risk and safety-critical work environments.
