Navigate mounting pressure for traffic optimization, smart city integration, and efficient urban planning while managing costs and ensuring public safety.
Traffic Congestion & Economic Losses
Urban congestion leads to lost time, reduced productivity, and mounting economic costs—underscoring the urgent need for intelligent traffic optimization strategies.
Outdated Traffic Signal Systems
Traditional fixed-timer signals and poorly coordinated intersections can’t adapt to real-time conditions, worsening delays and increasing network-wide congestion.
Urban Planning Data Gaps
Transportation planners often operate without the complete, high-quality infrastructure data required for informed decision-making, multimodal planning, and long-term sustainability.
Smart City Integration Demands
As cities evolve, agencies need geospatial intelligence that integrates traffic control, emergency response, and public transit into unified, efficient smart city systems.
Signal Timing Analysis
Build accurate intersection models to test green wave patterns
Transit Corridor Design
Identify opportunities for bus rapid transit and priority lanes
Digital Twin Simulation
Integrate GeoMate maps into smart city traffic simulations
Connected Infrastructure Planning
Integrate GeoMate maps into smart city traffic simulations
Emergency Access Modeling
Use detailed spatial layers to plan optimized response routes
LiDAR-Free Technology
No LiDAR required — maps generated from aerial imagery and AI.
Platform-Ready Integration
Designed for integration into ITS modeling and simulation platforms.
Advanced Analytics Support
Semantic-rich data for advanced traffic and mobility analysis.
Universal Format Compatibility
Delivered in formats compatible with OpenDRIVE, Lanelet2, GeoJSON, and shapefiles
Scalable Area Coverage
Flexible deployment across large urban areas, corridors, or project zones
We can typically deliver complete mapping datasets for mid-sized cities in approximately 8 weeks, with smaller project areas available even faster.
This accelerated timeline is possible because our AI-powered approach eliminates the need for traditional field surveys, allowing us to process high-resolution imagery directly into actionable urban planning intelligence.
Unlike conventional mapping resources that often rely on outdated information or require extensive field verification, GeoMate provides 10cm-accurate, comprehensive urban datasets without any fieldwork.
Our AI algorithms capture and classify over 35 urban features automatically, delivering both greater detail and more current information than traditional GIS resources—at a fraction of the cost.
Our datasets provide the precise infrastructure mapping essential for 15-minute city planning, including complete sidewalk networks, bicycle pathways, micromobility corridors, and street connectivity analysis.
These comprehensive datasets enable planners to evaluate neighborhood accessibility, identify infrastructure gaps, and implement targeted improvements to ensure all residents can access essential services within a 15-minute walk or bike ride.
Absolutely. GeoMate delivers all datasets in standard GIS formats that seamlessly integrate with existing municipal systems, including direct compatibility with ESRI platforms.
Our data layers can be immediately incorporated into your current GIS environment without requiring specialized tools or conversion processes, ensuring a smooth workflow integration for planning departments.
Our specialized datasets provide the detailed infrastructure mapping critical for successful micromobility deployment, including comprehensive sidewalk networks, bike lanes, street furniture, and potential conflict points.
This intelligence enables planners to identify optimal routes, appropriate parking zones, and necessary infrastructure improvements—essential for creating safe, efficient micromobility systems that integrate harmoniously with existing transportation networks.
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