Develops autonomous robotic aerial platforms for indoor asset assessments, leveraging AI-powered data analysis and 5G connectivity to deliver precise measurements with an error margin of just a few millimeters. This system eliminates the need for manual inspections, reducing operational risks and significantly improving efficiency by providing real-time, actionable insights from challenging environments.
Funding
Funding not disclosed
Founders
Product
Problem
Inspecting indoor assets often requires manual methods, which can be time-consuming, costly, and expose personnel to hazardous conditions. Confined spaces and GPS-denied environments further complicate the process, making accurate and efficient data collection challenging.
Solution
VERTLINER provides autonomous robotic aerial platforms for indoor asset assessments, enabling safe and efficient data collection in challenging environments. Their A.S.S.E.S.S. system utilizes AI-powered navigation and real-time data analysis to deliver precise measurements and actionable insights. The robotic platforms can operate in GPS-denied environments, navigating confined spaces and automatically avoiding obstacles. This technology eliminates the need for manual inspections, reducing operational risks and improving efficiency by providing real-time data and digital monitoring of assets.
Target Audience
The primary target audience includes professionals in construction, infrastructure, and defense industries who require accurate and efficient asset inspections in indoor or GPS-denied environments.
Features
- Autonomous navigation in GPS-denied and non-permissive environments
- AI-powered data analysis for real-time insights
- Precise measurements with millimeter-level accuracy
- 360° measurements, inspection, and monitoring capabilities
- Dynamic obstacle avoidance for safe operation in complex environments
- Modular software stack for seamless integration across fixed-wing and multicopter platforms
- Point cloud generation for detailed site analysis and structural element identification