Caboto builds robotic sensing and edge AI systems that transform complex physical environments into real-time 3D intelligence for inspection, monitoring, mapping, and digital twins. The result: faster inspections, safer operations, fewer blind spots.
Caboto develops modular, carrier-agnostic sensing payloads and autonomous robotics software for inspection, monitoring, mapping, and digital twin generation. Our systems combine LiDAR, thermography, computer vision, and edge AI to operate in complex real-world environments.
Caboto helps infrastructure operators, cities, and industrial companies turn hard-to-monitor physical environments into measurable, searchable, real-time 3D intelligence.
Instead of relying only on manual inspections, static cameras, or isolated dashboards, Caboto combines robotic sensing, LiDAR mapping, thermal vision, edge AI, and digital twin generation into deployable field systems.
The value is simple: faster inspections, safer operations, better spatial data, and continuous awareness of critical assets.
Robotic and fixed sensing systems collect LiDAR, thermal, visual, and telemetry data in complex environments.
AI runs close to the field, reducing latency, bandwidth use, and privacy risks.
Point clouds, maps, and digital twins transform physical spaces into structured intelligence.
Caboto systems can run on quadrupeds, UGVs, drones, fixed nodes, or third-party robotic platforms.
Built for inspection, monitoring, mapping, and safety-critical use cases in real-world environments.
Caboto packages complex robotics, sensing and edge AI into deployable field systems — so you adopt robotic intelligence without building a robotics team from scratch.
Real-time 3D perception, SLAM, localization, and point-cloud processing for GPS-denied environments.
On-edge classification and tracking using thermal and visible sensors, with privacy-preserving event metadata.
Continuous 3D reconstruction and infrastructure intelligence for operations, inspection, and monitoring.
Mission planning, robot status, sensor streams, and multi-robot orchestration from a centralized dashboard.
Drop-in localization & mapping module for GPS-denied environments. Plug-and-play for industrial robots and inspection platforms.
Compact thermal + RGB edge unit running on-device classification and tracking with privacy-preserving event metadata.
Permanent LiDAR-based urban sensing array delivering anonymous mobility analytics and incident detection for smart cities.
Modular autonomy software running on third-party carriers — quadrupeds, UGVs, drones — with unified mission and safety layers.
Centralized control plane for heterogeneous robot fleets, sensor streams, mission scheduling, and live digital twin views.
Automated visual & thermal audits of production lines and assets.
Substations, pipelines, solar fields and wind assets under continuous watch.
Anonymous mobility intelligence and incident detection for urban operators.
GPS-denied mapping and autonomy where humans cannot safely operate.
Localization and perception for delivery robots in dense and harsh contexts.
Continuous monitoring of transit, ports, and high-value civil assets.
Caboto projects are configured around the environment, sensing payload, autonomy level, data pipeline, and deployment requirements. We offer modular packages for pilots, permanent installations, and full-scale robotic operations.
For organizations that want to validate Caboto technology in the field.
For operators ready to deploy Caboto sensing systems on assets, sites, or robotic carriers.
For organizations managing multiple robots, sensing nodes, or infrastructure monitoring missions.
For OEMs, robotics companies, and system integrators that want to embed Caboto modules into their own platforms.
Every deployment starts with a technical assessment of the site, mission, sensors, safety constraints, data pipeline, and expected outputs.
Caboto is not another dashboard. We build the systems that generate trustworthy real-world data: sensing payloads, robotic autonomy, edge inference, digital twins, and fleet operations. In the post-SaaS era, defensibility comes from deployment, safety, proprietary field data, and full-stack physical intelligence.
Simone leads Caboto's product vision, field deployment strategy, and system architecture across modular sensing payloads and autonomous robotic platforms.
Francesco leads Caboto's perception and edge AI stack, including sensor fusion, anomaly detection, and on-device inference for field systems.