Caboto develops modular, carrier-agnostic sensing payloads and autonomous robotics software that combine LiDAR, thermal imaging, computer vision, and edge AI for infrastructure inspection and digital twin generation. The company helps infrastructure operators, cities, and industrial companies transform hard-to-monitor physical environments into measurable, searchable, real-time 3D intelligence. Caboto systems can be deployed on quadrupeds, UGVs, drones, fixed nodes, or third-party robotic platforms.
Funding
Funding not disclosed
Founders
Product
Problem
Infrastructure operators, cities, and industrial companies struggle to monitor complex physical environments using manual inspections, static cameras, or isolated dashboards. These approaches are slow, limited in coverage, and fail to provide continuous, structured awareness of critical assets, leading to delayed detection of issues and increased operational risk.
Solution
Caboto provides modular, carrier-agnostic sensing payloads and autonomous robotics software that combine LiDAR, thermal vision, computer vision, and edge AI into deployable field systems. These systems autonomously capture spatial, thermal, and visual data in complex environments, then process it at the edge to reduce latency, bandwidth use, and privacy risks. The resulting point clouds, maps, and digital twins transform physical spaces into structured, searchable 3D intelligence that operators can use for faster inspections, safer operations, and continuous asset awareness. Caboto's technology runs on a variety of platforms, including quadrupeds, UGVs, drones, fixed nodes, and third-party robotic systems, making deployment flexible across different use cases.
Target Audience
Primary customers are infrastructure operators, city agencies, and industrial companies that need automated inspection, monitoring, mapping, and digital twin generation for complex physical environments.
Features
- Modular sensing payloads integrating LiDAR, thermal cameras, and computer vision for multi-modal data capture
- Edge AI processing that runs inference close to the field, reducing latency, bandwidth consumption, and privacy exposure
- SLAM-based mapping and 3D reconstruction for generating accurate point clouds and digital twins
- Carrier-agnostic design supporting deployment on quadrupeds, UGVs, drones, fixed nodes, or third-party robotic platforms
- Sensor fusion pipeline combining thermal, visual, and LiDAR data into unified operational intelligence
- Real-time data capture and processing for continuous monitoring of critical infrastructure assets