GeoMate delivers AI-powered geospatial data to support active transportation planning, sidewalk mapping, accessibility gap analysis, and digital twin applications—fast, scalable, and field-free.
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Incomplete or outdated sidewalk & bike lane
Manual surveys are slow, costly and not detailed
Limited visibility on accessibility gaps & infrastructure needs
Lack of safety risk insights for proactive urban planning
GeoMate's compact HD maps and urban feature layers accelerate planning and improve decision-making.
Our platform eliminates the need for field surveys by extracting detailed sidewalk, roadway, and street furniture data from aerial imagery using AI.
That means weeks—not months—of turnaround time for projects of any size.
Building pedestrian-friendly neighborhoods
Expanding bicycle infrastructure
Reducing traffic-related injuries
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We combine machine learning algorithms with high-resolution geospatial imagery to deliver GIS-ready mapping products with 10 cm accuracy, purpose-built for city planning. GeoMate delivers data on:
Bike lanes and road markings
Signage, poles, and more
Safety analytics including FARS-informed risk models
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Sidewalk networks and missing links
Road edges, parking infrastructure, and lane delineations
Crosswalks, curb ramps, and pedestrian paths
Our AI-powered geospatial data enables city planners and mobility specialists to create safer, more accessible urban environments.
Public Sector Transportation Planning
Transportation planning teams with municipalities, counties & MPOs use our data for planning, identifying accessibility gaps & making based decisions without expensive on-ground surveys
Urban Planning Consultants
Specialized consultancies use mapping data for transportation modeling, mobility planning, and city initiatives, delivering recommendations based on accurate spatial intelligence.
Smart City Developers
Innovation teams use our accurate urban features to optimize sensor placement, enable connected infrastructure, and spatial analysis to support smart city initiatives.
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