Driving aerial excellence

Mastering the skies entails a comprehensive understanding and management of aerial and ground- based risks. Our automated air risk management kit aims to assimilate historical manned aviation traffic data to deduce encounter probabilities for drone flights. This blend of operational and Unmanned Traffic Management (UTM) expertise ensures our drones sail smoothly through regulatory frameworks, maintaining a safe and compliant operational footprint.

Navigating the complexities of modern airspace goes beyond the traditional Detect and Avoid (DAA) systems. Such systems, reliant on sensory perception, fall short under the Specific Operational Risk Assessment (SORA) framework enforced by the European Union Aviation Safety Agency (EASA). In the bustling airspaces over cities, near airports, or along lengthy routes, a strategic approach is necessary to reduce air risk to manageable levels. SORA’s approach can sometimes categorize drone operations as too risky, ignoring the reality that there are often low-risk areas that are ideal for drone use. By applying quantitative risk modeling, which utilizes data, we sidestep subjective judgment, offering clear, data-backed risk evaluations. This objective method is favored by Civil Aviation Authorities as data provides an honest, transparent view of risks, paving the way for safer drone operations.

Deciphering air risk requires making choices: do we use encounter rate or collision risk models? Should we rely on ADS-B or FLARM data? Are flights on Saturdays less risky than Fridays? The analysis can get intricate, but convincing regulators to approve a ‘high-risk’ flight shouldn’t feel like an unsolvable puzzle. We’ve streamlined the process by sifting and refining the data and transforming it into actionable insights. Our approach is grounded in research, and our proprietary risk models have a proven track record with EASA Civil Aviation Authorities. We simplify the complex so you can focus on flying.