Cities operate in constant change — construction, incidents, transit priority, curb management, seasonal demand. Traditional one-off traffic studies cannot keep up. GeoMate delivers micro- and meso-scale traffic simulation and predictive insights — built on a lane-level digital twin foundation.
Contact UsCities need continuous, scenario-based traffic intelligence — not isolated reports.
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Static and one-time
Traffic studies are produced as one-off reports and quickly become outdated as city conditions evolve.
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Based on assumptions instead of real data
Models rely on simplified assumptions rather than real-world traffic behavior and observations.
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Difficult to update when conditions change
Updating models after construction, policy changes, or incidents requires time-consuming manual work.

Limited to single intersections or corridors
Analysis often focuses on isolated locations instead of understanding citywide traffic dynamics.

RealSimE transforms road data and imagery into a lane-accurate, simulation-ready digital representation of city streets.

Lane-level geometry and topology
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Intersection and corridor connectivity

A reusable spatial source of truth
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Compatible with simulation and operational workflows
RealSimE transforms road data and imagery into a lane-accurate, simulation-ready digital representation of city streets.
Get StartedThis transforms real-world signals into testable, measurable scenarios.

On top of the digital twin, cities can integrate
- Mobile / probe travel time data
- Sensors, counts, and historical traffic patterns
- Incidents, construction, and planned events
- Camera detections and turning movements

Cities can then define scenarios
- Lane closures and detours
- Demand shifts
- Time and location-based operational changes
- Transit priority and curb policies


From simulation to actionable outputs, cities receive
- Travel time and reliability metrics
- Bottleneck and hotspot identification
- Queueing and spillback risk indicators
- Scenario-based CO₂ and emissions estimates
- Before/after comparisons

Used for
- Construction and detour impact assessment
- Vision Zero and road safety analysis
- Transit priority and corridor optimization
- Climate and sustainability reporting
- Evaluating trade-offs between mobility, safety, and emissions


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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