EV Infrastructure Intelligence

From charging stations to a national eMobility platform.

Navigato AI combines GIS planning, Digital Twins, charging-network software, payment integration, AI optimisation and operational support to transform isolated charging assets into a scalable mobility business.

Explore Architecture
Fuel-station networksCPOsMunicipalitiesFleetsRetailCommercial REInvestors
The Opportunity

Existing infrastructure networks can become national eMobility platforms.

Fuel Station Network Transformation

  • Convert forecourt space into EV revenue without replacing fuel operations
  • Leverage existing footfall, payment infrastructure and loyalty data
  • Phased deployment aligned to EV adoption curves in your markets

Charging Corridor Development

  • GIS-modelled placement along major road and motorway corridors
  • HPC hubs designed for long-distance journey reliability
  • OCPI roaming to extend network value from day one

Urban EV Ecosystem

  • Destination charging at retail, hospitality and commercial sites
  • Fleet depot and workplace charging with corporate billing
  • Municipal integration for residential and kerbside needs
Platform Architecture

A 9-layer integrated stack.

01

Drivers, Fleets and Guests

End users discovering, booking and paying for charging sessions across all network touchpoints.

02

Mobile and Customer Experience

Branded apps, web portals and third-party integrations delivering seamless session management.

03

Charging Infrastructure

AC, DC fast and HPC hardware from multiple certified vendors connected via open protocols.

04

OCPP / OCPI / ISO 15118 Platform

Protocol mediation layer supporting OCPP 1.6J and 2.0.1, OCPI roaming and Plug & Charge.

05

Payments and Loyalty

Integrated payment gateway, customer wallet, loyalty engine and corporate fleet billing.

06

GIS and Digital Twin

Geospatial site intelligence and real-time network simulation for planning and operations.

07

AI Intelligence Layer

Dynamic pricing, demand forecasting, predictive maintenance and energy optimisation models.

08

NOC and Operational Support

Round-the-clock remote monitoring, SLA tracking and field service coordination.

09

Management and Investment Dashboard

Revenue analytics, ESG reporting, CO₂ evidence and project IRR visibility for stakeholders.

Core Capabilities

Full-stack capability coverage.

GIS-based site selectionRoad-corridor planningGrid-capacity assessmentAC / DC Fast / HPC planningCharger-vendor independenceOCPP 1.6J and 2.0.1OCPI interoperabilityISO 15118 / Plug & Charge readinessMobile app integrationCustomer wallet and paymentsLoyalty programmesCorporate fleet billingDynamic pricingDemand forecastingPredictive maintenanceBESS and solar optimisationNOC dashboardsSLA managementRevenue analyticsESG and CO₂ evidenceDigital Twin simulation
Digital Twin

Charging-network Digital Twin.

A live simulation of your charging network combining technical, operational and commercial dimensions to support decisions at every stage.

Technical Simulation

  • Grid connection capacity modelling
  • Charger mix and power-share scenarios
  • BESS sizing and cycling analysis
  • Solar generation integration

Operational Visibility

  • Real-time charger health and status
  • Session throughput and queue modelling
  • Fault propagation simulation
  • SLA compliance forecasting

Commercial Modelling

  • Revenue per charger and per site
  • Dynamic pricing scenario testing
  • Utilisation rate optimisation
  • IRR sensitivity analysis (model-based projection)
Energy Strategy

When is direct grid, BESS or solar economically justified?

Direct Grid Connection

Best when grid capacity is available at site, load profile is predictable, and upfront capex must be minimised.

Key Considerations

  • DNO capacity application and timelines
  • Demand management to avoid peak tariff spikes
  • Future-proofing for additional charger capacity

Battery Energy Storage (BESS)

Justified where grid connection is constrained, peak demand charges are high, or energy arbitrage creates a positive business case.

Key Considerations

  • Battery sizing relative to peak session demand
  • Charge / discharge cycle economics
  • Grid services revenue potential

Solar + Storage

Viable where site roof or land area supports PV generation, reducing imported energy cost and improving ESG credentials.

Key Considerations

  • Generation profile versus charging demand profile
  • Export tariff and grid export constraints
  • Combined capex and payback period modelling
Operations

NOC and operational support.

Remote Monitoring

Continuous visibility of every charger, session, error state and connectivity event across the full network.

Predictive Maintenance

AI-driven fault detection flags potential failures before they cause downtime, reducing reactive interventions.

SLA Management

Automated SLA tracking with alert escalation and evidence reporting for uptime commitments.

Field Service Coordination

Dispatch and logistics tooling for certified hardware partners responding to on-site maintenance tasks.

Revenue Model

Revenue streams.

Charging Revenue

Per-kWh and per-session fees from public, guest and fleet charging.

Subscriptions

Monthly or annual plans offering discounted rates and priority access for regular users.

Corporate Fleet Billing

Dedicated fleet accounts with cost-centre reporting and consolidated invoicing.

Roaming Revenue

OCPI-enabled interoperability allowing drivers from partner networks to use your infrastructure.

Advertising

Dwell-time monetisation via in-app and on-screen media placements during charging sessions.

Energy Optimisation

Reduction in import costs through BESS, solar and demand-management strategies.

Grid Services

Demand response and flexibility market participation where BESS capacity is available.

where applicable

Carbon-Related Evidence

ESG reporting and CO₂ displacement evidence for corporate sustainability programmes.

Deployment Pathway

From single site to national scale.

1

Discovery and GIS Audit

Site survey, grid-capacity review, demand modelling and competitive landscape analysis.

2

Digital Twin and Financial Model

Network simulation, charger-mix scenarios and model-based IRR projections for stakeholder alignment.

3

Pilot Site

Deploy a representative site with full platform stack to validate assumptions and gather real-world data.

4

Phase 1 Rollout

Expand to a defined network footprint, refining pricing, operations and customer experience.

5

National / Regional Scale

Full-network deployment with NOC operations, roaming integrations and investor-grade reporting.

KPIs

How we measure success.

Financial KPIs are model-based projections and will vary by site, market and deployment configuration.

Network Uptime

Charger Utilisation

Revenue per Charger

Revenue per Site

Session Duration

MTTR

Payment Adoption

Fleet Customers

Project IRR

model-based projection

Payback Period

model-based projection

Get Started

Discuss an eMobility Pilot.

We act as technology integrator. Physical deployment depends on site readiness, grid capacity and applicable permits.

Navigato AI acts as technology and software integrator. Certified EPC and hardware partners may be engaged for physical deployment. Customer data, brand and commercial relationships remain with the infrastructure owner.