
AIR Corp is a technology company specializing in autonomous infrastructure inspections, focusing on civil infrastructure such as bridges and dams. Their flagship product, InfraGuard, is an AI-powered 3D inspection software that integrates advanced hardware including LiDAR, stereo cameras, and smart-fusion sensors to detect structural irregularities with 99% accuracy. The company aims to revolutionize infrastructure inspection by providing safer, faster, and more cost-effective solutions compared to traditional manual methods. AIR Corp is developing robotics platforms for mining and defense sectors, with a strong emphasis on commercializing AI-driven inspection technology. Their technology is validated by interest and support from NASA, state transportation departments, and academic institutions, positioning them as an innovative leader in infrastructure safety and inspection.

AIR Corp is a technology company specializing in autonomous infrastructure inspections, focusing on civil infrastructure such as bridges and dams. Their flagship product, InfraGuard, is an AI-powered 3D inspection software that integrates advanced hardware including LiDAR, stereo cameras, and smart-fusion sensors to detect structural irregularities with 99% accuracy. The company aims to revolutionize infrastructure inspection by providing safer, faster, and more cost-effective solutions compared to traditional manual methods. AIR Corp is developing robotics platforms for mining and defense sectors, with a strong emphasis on commercializing AI-driven inspection technology. Their technology is validated by interest and support from NASA, state transportation departments, and academic institutions, positioning them as an innovative leader in infrastructure safety and inspection.
What they do: AI-powered hardware + software (InfraGuard) for autonomous civil infrastructure inspections (bridges, dams) and inspection robotics.
Flagship product: InfraGuard — LiDAR, depth/stereo cameras, Infra-See sensor, AI processing producing 3D inspection reports and crack detection.
Founding / tech origin: Technology traces to research led by Dr. Jim La at University of Nevada, Reno.
Validation / traction: Interest or support noted from NASA Langley and state transportation departments.
Funding (reported): Total funding amount reported as USD 100,000; last funding date 2024-01-11.
Autonomous inspection of civil infrastructure (bridges, dams) and related robotics for inspection tasks.
Infrastructure inspection; robotics; AI
100000.00