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Mobility-Metrix

Mobility-Metrix provides a SaaS platform that aggregates and cleans travel data from over 40 open, proprietary, and sensor sources, using machine‑learning to fill gaps and produce a unified multimodal dataset. The service offers interactive dashboards and APIs that deliver modal‑share, origin‑destination flows, travel‑time analysis, and emissions insights, enabling transport authorities and operators to make data‑driven planning and sustainability decisions.

Marseille, FranceFounded 202215700+ followers
Updated 3 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Transport authorities and mobility operators lack a unified view of multimodal travel patterns because data are fragmented across many sources, often of varying quality, and require extensive processing to become actionable for planning and sustainability goals.

Solution

Mobility‑Metrix offers a SaaS platform that ingests, cleans, and hybridizes travel data from over 40 open‑data, proprietary, and sensor sources. Machine‑learning models fill gaps and reconstruct missing trips, producing a consistent, multimodal dataset. The platform then delivers interactive dashboards and intuitive maps that display modal shares, origin‑destination flows, pole of emission and attraction, and travel times by mode, day, and hour. Users can explore these indicators dynamically, track changes over time, and assess the impact of policies or infrastructure investments. By providing reliable, consolidated mobility intelligence, the solution supports evidence‑based decision‑making and helps stakeholders meet emissions‑reduction targets.

Target Audience

Primary customers are regional transport authorities, public‑transport operators, and managers of high‑traffic venues who need comprehensive mobility insights for planning, operations, and sustainability reporting.

Features

  • Automated data pipeline that collects, cleans, and qualifies raw travel data from diverse sources (GPS, telecom, public‑transport feeds, sensors, etc.)
  • Machine‑learning‑driven reconstruction of missing trips and volume correction for accurate travel‑demand estimates
  • Integrated analytics for modal share, travel‑time distribution, and detailed origin‑destination matrices across all transport modes
  • Interactive web‑based dashboard with customizable visualizations, heat‑maps, and temporal filters
  • Exportable reports and API access for integration with existing planning tools and GIS systems
This profile is AI-generated and may contain inaccuracies.