sees.ai
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About
sees.ai is an aerial intelligence platform designed to industrialize data collection for critical national infrastructure. By utilizing advanced drone technology and a proprietary software stack, the platform enables operators to monitor vast networks of assets—such as electricity grids and offshore wind farms—with a level of precision previously unattainable at scale. The primary purpose is to transform raw aerial footage into actionable "nut and bolt" level insights that help organizations manage aging infrastructure, streamline maintenance, and support the broader energy transition. The core of the solution is a "system-of-systems" that integrates autonomous drone hardware with a centralized cloud-based control platform. This architecture facilitates Beyond Visual Line of Sight (BVLOS) operations, allowing drones to cover long distances and complex environments without a pilot needing a direct line of sight. One of the platform's key technical advantages is the capture of perfectly repeatable, consistent data. By ensuring that every flight records data in a standardized format, the tool makes it possible for organizations to implement end-to-end AI and Machine Learning workflows for automated defect detection. The platform is specifically built for industrial operators and engineers working in safety-critical environments. This includes electricity grid managers looking to prioritize inspections, offshore wind farm operators requiring remote monitoring of turbine blades, and oil and gas companies needing to track methane emissions. It is particularly valuable for large-scale organizations managing geographically dispersed assets where manual inspection is costly, dangerous, or logistically difficult to repeat consistently. What sets sees.ai apart is its focus on regulatory compliance and the high-performance pedigree of its leadership team. With engineering experience from Apple, CERN, and McLaren’s Formula 1 team, the company has developed a platform that prioritizes safety and precision. Their success in securing formal BVLOS authorizations from regulatory bodies like the Irish Aviation Authority (IAA) and their active deployment within the National Grid demonstrate a level of operational maturity that distinguishes them from standard commercial drone services.
Pros & Cons
Enables long-distance monitoring without direct pilot line of sight via BVLOS.
Delivers repeatable datasets specifically formatted for automated AI defect detection.
Provides extremely high-detail data, capable of nut-and-bolt level asset insight.
Supported by a highly experienced leadership team from CERN and Formula 1.
Secured regulatory authorizations from authorities like the IAA for advanced operations.
Requires complex regulatory approvals that vary significantly by region.
Primarily a managed solution rather than a self-service software product.
Specialized for heavy industry, making it unsuitable for general commercial drone needs.
Use Cases
Electricity grid operators can automate pylon inspections across entire national networks to prioritize maintenance schedules.
Offshore wind farm managers can monitor turbine blade health remotely, reducing the need for dangerous manual inspections.
Environmental teams in oil and gas can deploy drones to detect and quantify methane emissions at scale.
Infrastructure engineers can use repeatable flight data to track the precise degradation of assets over several years.
Large-scale industrial firms can centralize their drone operations to ensure safety and data consistency across multiple sites.
Platform
Task
Features
• methane emissions monitoring
• offshore wind turbine monitoring
• electricity grid condition inspection
• cloud-integrated proprietary tech stack
• repeatable data capture for ai/ml analysis
• nut-and-bolt level high-fidelity data
• centralized autonomous control platform
• bvlos (beyond visual line of sight) operations
FAQs
What does BVLOS mean for drone operations?
BVLOS stands for Beyond Visual Line of Sight, meaning the drone can be operated over long distances without the pilot needing to maintain a direct line of sight. This allows sees.ai to monitor vast industrial networks and remote infrastructure efficiently.
How is the data optimized for AI and Machine Learning?
The platform captures perfectly repeatable and consistent data, ensuring that every flight follows exact parameters. This standardization allows AI models to accurately compare asset conditions over time and automate the detection of defects.
Which industries can benefit from sees.ai solutions?
The tool is primarily designed for critical infrastructure sectors including electricity grids, offshore wind energy, and oil and gas. It is optimized for high-risk, safety-critical environments that require industrial-scale data.
Does sees.ai have regulatory approval for autonomous flights?
Yes, the company has secured significant authorizations, including BVLOS regulatory authorization from the Irish Aviation Authority (IAA). They work closely with aviation bodies to ensure all operations meet strict safety and legal standards.
Pricing Plans
Managed Solutions
Unknown Price• BVLOS drone operations
• Centralized autonomous control
• High-fidelity data capture
• AI/ML-ready data outputs
• Regulatory compliance management
• Close-quarter inspection
• Cloud-integrated tech stack
Job Opportunities
Speculative Application / Talent Pool
Monitor critical infrastructure at a national scale with autonomous BVLOS drones that deliver repeatable, high-fidelity data optimized for AI-driven maintenance.
Other Requirements:
Already eligible to work in the UK
Able to be in the Chichester facility regularly
Responsibilities:
Submit application for future software, mechatronics, robotics, and test engineering vacancies
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Lead Engineer - Drone Design and Build
Monitor critical infrastructure at a national scale with autonomous BVLOS drones that deliver repeatable, high-fidelity data optimized for AI-driven maintenance.
Education Requirements:
MEng or equivalent degree (nice to have)
Experience Requirements:
Expert-level proficiency in at least one MCAD package (e.g. NX, SolidWorks, Fusion 360)
Strong mechanical engineering background with design for manufacture knowledge
Experience leading or owning end-to-end hardware systems
Experience defining or scaling engineering processes from prototype to operation
Python (or similar) capability for data analysis
Other Requirements:
PCB design or EMC design experience
Background in robotics, autonomous systems, or complex electromechanical products
Experience supporting the transition from R&D into production
Responsibilities:
Owning the mechanical and electrical architecture of the drone platform
Leading transition from prototype to repeatable low-volume production
Guiding design and integration of sensors, electronics, structures, and networking
Translating operational feedback into technical priorities and design improvements
Defining and overseeing hardware testing programmes
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Drone Operator Pilot
Monitor critical infrastructure at a national scale with autonomous BVLOS drones that deliver repeatable, high-fidelity data optimized for AI-driven maintenance.
Benefits:
Work at the forefront of autonomous aviation in the UK
Apply drone experience in nationally significant operations
Gain hands-on exposure to advanced autonomous systems
Develop operational and technical capability
Competitive salary based on experience
Experience Requirements:
Some practical drone flying experience
Highly tech-literate and comfortable learning new systems
Based in the UK
Full UK manual driving licence
Unrestricted right to work in the UK
Other Requirements:
Willingness to travel frequently across the UK
Confidence working independently in field-based roles
Clear communication skills
Responsibilities:
Operating advanced autonomous drone missions via computer interfaces
Supporting the planning and execution of infrastructure inspections
Coordinating operational logistics (site access, weather analysis, travel)
Capturing and validating inspection data
Working with engineers to provide structured operational feedback
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