$29/mStarting price
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About Urbiverse

Urbiverse is an agent-based simulation platform designed to help businesses and governments make informed decisions in urban mobility and logistics. The tool creates digital twins of operations, allowing users to test scenarios such as new city launches, fleet resizing, depot locations, or infrastructure investments before committing real-world resources. By integrating fleet data, historical trip records, and operational parameters, Urbiverse models interactions between vehicles, users, and infrastructure to predict outcomes like demand patterns, utilization rates, and revenue estimates. The platform is powered by Pulse-AI, a proprietary AI engine trained on geographic and operational data from thousands of cities, ensuring simulations reflect real-world urban behaviors. Urbiverse is particularly useful for urban planners, logistics managers, and policymakers who need to evaluate the impact of decisions without risking costly mistakes. It supports scenario planning for fleet electrification, policy changes, and competitive market shifts, providing actionable insights to optimize operations and align with strategic goals.

Key features

  • AI-driven urban mobility simulations
  • Synthetic city dataset generation
  • Fleet data integration for scenario testing
  • Optimal micromobility hub and EV charger placement
  • Impact analysis of infrastructure changes
  • Fleet size and operational strategy optimization
  • Cost-effectiveness and strategic alignment insights
  • Realistic city modeling without real-world testing

Use cases

  • Testing EV charger placement in urban areas
  • Optimizing micromobility fleet distribution
  • Evaluating logistics infrastructure changes before implementation

Pros

  • Enables evidence-based decision-making by simulating real-world scenarios before committing resources
  • Uses proprietary AI trained on operational data from thousands of cities for realistic modeling
  • Supports a wide range of urban mobility and logistics decisions, from fleet sizing to infrastructure placement
  • Provides quantified outputs such as demand projections, utilization rates, and cost estimates
  • Allows testing of new markets or policies without requiring historical data from the target location

Cons

  • Requires access to operational data for optimal accuracy, which may not be available for all use cases
  • Engagement-based pricing model may not suit organizations seeking ongoing or low-cost simulations
  • Complexity of simulations may require dedicated project scoping and collaboration with the provider

Frequently asked questions about Urbiverse

What data do I need to provide to use Urbiverse?

Urbiverse requires historical trip data, fleet composition details, zone definitions, and operational parameters. The more operational history provided, the more accurate the simulation. Standard data exports are accepted, and no proprietary formats are required.

How long does a simulation engagement take?

Typical engagements range from several weeks to a few months, depending on the scope, number of scenarios, and complexity of the analysis. The timeline is clearly defined during project scoping before work begins.

Can Urbiverse simulate a city where we haven't launched yet?

Yes. Urbiverse can generate synthetic demand data for new markets using Pulse-AI’s models, calibrated to cities with similar characteristics. Historical data from the target city is not required for meaningful simulations.

How accurate are the simulations?

Accuracy depends on the quality and depth of input data. For cities with rich historical data, outputs closely align with real-world performance. For new markets, confidence ranges and assumptions are transparently provided.

Is Urbiverse available as a standalone tool or only with SWITCH Enterprise?

Urbiverse is offered as a module within SWITCH Enterprise. Simulation engagements are project-based and tailored to specific decisions, such as new city launches or fleet resizing.

What types of decisions can Urbiverse help with?

Urbiverse supports decisions like new city launches, fleet sizing, infrastructure placement (e.g., depots or charging stations), fleet electrification, and policy or scenario planning in response to regulatory or competitive changes.

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