MobAIā„¢- for Coherent Urban Mobility Operations

 Integrating AI-driven monitoring, trust, and coherence into urban mobility — improving KPIs, enhancing reliability, and transforming mobility data into verifiable Smart-City intelligence. 

Trust

From Chaos to Ethics
Trust

Coherence Engine

From Ethic to Intelligence
governance engine

SDG 2.0

From Intelligence to Public Implementation
field systems

ESG 2.0

From Intelligence to Business Implementation
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    The Missing Link of Coherence and Compliance Intelligence Layer

     European transport authorities must comply with a rapidly expanding set of regulations — including AFIR, TEN-T, the EU Taxonomy, DNSH, and CSRD.


    Yet these frameworks often overlap or contradict each other, making alignment difficult and time-consuming.
    The absence of data interoperability between operators, regions, and platforms further amplifies these challenges, leading to fragmented reporting, inconsistent KPIs, and limited traceability.
    As a result, cities and mobility agencies struggle to ensure reliability, transparency, and policy coherence across complex transport ecosystems. 

  • What

    The Trustworth & Coherent Engine for Urban Mobility

     

    MobAIā„¢ (Mobility Artificial Intelligence) is a trustworthy AI system designed to ensure coherence, reliability, and accountability across public transport operations.
    It translates complex regulatory frameworks — such as AFIR, TEN-T, EU Taxonomy, DNSH, and CSRD — into machine-readable logic that continuously aligns operational data with compliance requirements.
    By integrating real-time mobility datasets, regulatory intelligence, and explainable AI, MobAIā„¢ enables transport authorities and operators to monitor, predict, and justify performance with full traceability and interoperability across systems. 

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    MobAIā„¢ Workflow

     

    1ļøāƒ£ Regulation Encoding
    EU and national transport frameworks — AFIR, TEN-T, DNSH, CSRD — are transformed into structured, machine-readable rules using the Coherence Engine logic.

    2ļøāƒ£ Data Ingestion & Interoperability Layer
    MobAIā„¢ integrates real-time datasets (GTFS, IoT sensors, maintenance logs, passenger flows) into a unified mobility ontology ensuring interoperability between systems, operators, and authorities.

    3ļøāƒ£ AI Reasoning & Performance Analytics
    Through predictive and explainable AI models, MobAIā„¢ identifies risks of non-compliance, anticipates service disruptions, and correlates operational anomalies with regulatory indicators.

    4ļøāƒ£ Coherence & Compliance Dashboard
    Outputs are displayed through an interactive interface showing reliability, accessibility, emissions, and CSRD-aligned KPIs — providing authorities with verifiable evidence of performance.

    5ļøāƒ£ Continuous Learning Loop
    Each cycle refines model accuracy and regulatory mappings, enabling adaptive governance that evolves alongside new EU or local mandates.

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    Designed for Urban and Regional Mobility Ecosystems

     MobAIā„¢ is designed for urban and regional mobility ecosystems seeking to unify operational performance, regulatory compliance, and sustainability.
    It can be implemented across public transport authorities, mobility operators, and Smart City platforms, supporting interoperability between buses, metros, trams, and shared-mobility services.
    Thanks to its modular architecture, MobAIā„¢ adapts to different contexts — from European metropolitan networks under CSRD and AFIR obligations to developing regions seeking verifiable mobility governance. 

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    Call for Partnerships

     

    MobAIā„¢ invites collaboration with institutions and innovators advancing trustworthy, coherent, and data-driven mobility governance.
    We engage with:

    • Transport authorities and operators adopting predictive, auditable performance frameworks.
    • Digital infrastructure providers and AI labs integrating coherence and explainability into mobility systems.
    • EU innovation programs, regulatory sandboxes, and Smart City initiatives supporting reliable and ethical transport automation.

    Anchored in the EU AI Act, CSRD, and Sustainable Mobility Policy Framework, MobAIā„¢ positions itself as a key enabler of verifiable, human-aligned mobility intelligence.

Arrange a demo to explore MobAI

CORE FEATURES

  • Reliability & Predictive Intelligence

     

    Uses real-time data from GTFS, IoT sensors, and operational logs to forecast headway variance, service delays, and disruption risks.
    MobAIā„¢ transforms monitoring from reactive control to proactive, explainable reliability management.

  • Regulatory Coherence Engine

     

    Encodes EU and national mobility regulations — AFIR, TEN-T, CSRD, DNSH — into actionable machine logic.
    Automatically checks alignment, flags contradictions, and ensures continuous compliance traceability.

  • Explainable AI & Ethical Oversight

     

    Integrates transparency and accountability in every decision loop.
    All predictions and alerts are accompanied by justifications consistent with EU AI Act and ISO 42001 principles of trustworthy AI.

  • Interoperability & Audit Dashboard

     

    Connects multiple data sources and operator systems into a unified, verifiable interface.
    Generates visual dashboards that align KPIs with EU Taxonomy and CSRD metrics—providing audit-ready evidence of service and sustainability performance.

EnergISO Dashboard

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Use Case — European Urban Mobility Operator

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