Plan safer, more connected active transportation networks with high-precision sidewalk and bike lane data. Our AI-powered mapping helps you identify gaps, improve accessibility, and design infrastructure that supports walking, cycling, and sustainable mobility.
Contact UsMunicipal planners can’t plan what they can’t see. Without accurate, citywide data, municipal planners face major obstacles in delivering safe, connected pedestrian and cycling infrastructure.
Incomplete or outdated sidewalk & bike lane
Most cities lack complete sidewalk databases, making it impossible to identify gaps and prioritize improvements for safe pedestrian access.
Outdated bike infrastructure data
Existing bike lane datasets are often incomplete or inaccurate, hindering effective cycling network expansion and connectivity planning.
Accessibility compliance blind spots
Without detailed sidewalk width and accessibility data, cities struggle to meet accessibility compliance such as ADA/AODA standards and identify areas that need urgent accessibility upgrades.
High costs & delays
Traditional field surveys for active transportation infrastructure take months and cost hundreds of thousands of dollars, delaying critical safety improvements.
Extract comprehensive sidewalk geometry, crosswalk locations, and walking path connections.
Identify missing segments and assess network connectivity to prioritize pedestrian safety improvements and ensure complete active transportation access.
Detect and classify protected bike lanes, shared lanes, multi-use trails, and cycle tracks.
Analyze bike network connectivity and identify expansion opportunities to create comprehensive cycling infrastructure that serves the population equitably.
Leverage AI-powered algorithms to assess sidewalk width compliance, identify ADA/AODA gaps, and flag accessibility barriers.
Prioritize infrastructure improvements based on accessibility needs and regulatory requirements.
Seamlessly integrate active transportation datasets into Esri ArcGIS and municipal GIS environments.
Enhance your existing data layers or add new infrastructure elements to support planning, analysis, and public engagement workflows.
We can typically deliver complete mapping datasets for mid-sized cities in approximately 4 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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