Geospan
Geospan provides road intelligence by deploying AI‑enabled roadside units that detect hazards, road conditions, and safety‑critical events in real time. The system streams live alerts to connected vehicles, maps, signage, and a cloud portal for teams to monitor and coordinate responses, while aggregating data to create training datasets for ADAS and autonomous driving. For example, its sensors can identify wildlife crossings such as groups of kangaroos and issue immediate warnings.
- Artificial Intelligence
- Autonomous Vehicles
- Hardware
- Internet of Things
Funding
Founders
Product
Problem
Road operators and vehicle manufacturers lack real-time, on‑road detection of hazards, adverse conditions, and safety‑critical events, leading to delayed responses, increased accident risk, and limited data for training advanced driver assistance systems.
Solution
Geospan deploys AI‑enabled roadside units that continuously sense the environment and identify hazards such as wildlife crossings, weather events, road surface issues, and risky driver behavior. Detected events are streamed instantly to connected vehicles, digital maps, dynamic signage, and other infrastructure, providing early warnings that enable drivers and automated systems to react promptly. A cloud‑based Atlas portal lets operators monitor incidents, coordinate response actions, and generate hotspot reports. Each logged event enriches curated datasets that can be used to train, tune, and validate ADAS and autonomous driving algorithms, creating a feedback loop that improves safety over time.
Target Audience
Primary customers are road authorities, mobility OEMs, and private site operators that manage highway, regional, or private road networks and require early hazard detection and data for vehicle safety systems.
Features
- Edge‑capable roadside perception devices with onboard AI for real‑time hazard detection
- Live data feeds to vehicles, navigation platforms, variable‑message signs, and other infrastructure
- Atlas cloud portal for incident review, response coordination, and hotspot analytics
- Automated generation of curated datasets for ADAS/autonomy training, simulation, and validation
- Support for diverse event types including wildlife crossings, weather emergencies, road‑surface conditions, GNSS degradation, and high‑risk driving behavior