GeoMate delivers centimeter-accurate HD maps designed for safe, scalable deployment of autonomous fleets. From city pilots to large-scale rollout, our AI-powered platform accelerates navigation readiness without costly surveys.
Contact UsAutonomous fleet operators face critical hurdles when scaling to new markets
Complex Urban Navigation
Fleets must navigate dense traffic, pedestrians, and dynamic road conditions with precision.
High Mapping Costs
Traditional HD maps require LiDAR surveys, making them expensive and slow to produce.
Scaling Across Regions
Expanding into multiple cities often takes years due to limited map availability.
Keeping Maps Updated
Constant infrastructure changes create gaps in reliability and safety.
Real-Time Updates
Keep maps aligned with evolving road infrastructure by input from connected fleet sensors and telematics
Lightweight Formats
Optimized for compute-limited robotic platforms.
Cloud Delivery
Access and manage coverage through our SaaS platform.
Delivery Robots
Improve last-mile reliability while lowering operational costs.
Fleet Operators
Enter new markets faster with reduced upfront mapping investment.
Robotaxis
Deliver safer, smoother passenger experiences in dynamic cityscapes.
AI-Generated & Scalable
Much faster and more affordable than traditional HD maps.
Compact & Efficient
Lightweight design optimized for robotic platforms.
Trusted Ecosystem
Collaborations with OEMs, Tier 1s, and simulation partners.
Future-Proof
Equally relevant for today’s modular fleets and future E2E AI systems.
Our maps deliver centimeter-level accuracy with semantic detail, supporting safe navigation and path planning in complex environments.
New regions can be mapped and deployed within weeks, enabling rapid expansion for fleets.
Maps are delivered via our SaaS platform or API, with update cycles that can be scheduled monthly, quarterly, or per project.
Maps export to OpenDRIVE, Lanelet2, USD, and GeoJSON, ensuring compatibility with tools like CARLA, RoadRunner, Autoware, and dSPACE.
GeoMate’s AI pipeline uses aerial and satellite imagery to generate compact HD maps, eliminating the need for costly LiDAR surveys and manual field work. This reduces engineering effort and delivers lightweight, easy-to-integrate maps at scale.
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