Aviation safety powered by computer vision
Equip your drone program with the leading onboard detect-and-avoid (DAA) system and safely conduct advanced operations like BVLOS. Compatible with multirotor, fixed wing, and VTOL airframes.
Monitor airspace for large-scale drone operations conducted at fixed locations all while reserving the drone’s payload. Detects across a 360° field of regard and alerts of intruder aircraft.
Increase the situational awareness of general aviation pilots by alerting them of any potential collisions with nearby aircraft outside their field of view, even if ADS-B or TCAS signals are unavailable.
UAM / AAM
Building the future of autonomous aviation requires innovative solutions that place safety at the forefront. Iris partnerships with Urban Air Mobility (UAM) developers look to make this a reality.
Securing approval of BLVOS waivers
We’ve collaborated with regulators on 14 completed BVLOS test programs worldwide and received approvals in the U.S., Canada, U.K., India and South Africa.
DEMONSTRATED RISK MITIGATION
Casia is designed to exceed the ASTM detect-and-avoid performance standards risk-ratios required to demonstrate air risk mitigation.
ENSURE YOUR APPROVAL
Increase your likelihood of regulatory approval using our proven process guided by Aviation Policy Experts with thousands of man-hours assessing operational risk.
Routine inspections of power lines and critical electrical infrastructure for efficient and reliable maintenance
Monitor large distances of pipeline to mitigate costly and dangerous leakage with reduced downtime
Inspections of remote tracks and bridges are key to safely deliver passengers and cargo without major closures
Respond to emergencies and assess dangerous and difficult to reach areas for potentially lifesaving assistance
Provide frequent aerial mapping missions coupled with exact and efficient methods of data collection
Reduce delivery times of payloads ranging from consumer goods, medical supplies, mail, and more
Reshaping the aviation industry to safely bring autonomous flight for passengers in urban environments
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