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Vivadrive

VivaDrive provides an AI-powered platform for managing and optimizing mixed combustion and electric vehicle fleets. The system uses predictive analytics and Digital Twin technology to automate savings, schedule maintenance, and ensure regulatory compliance. This results in significant reductions in operational costs and CO2 emissions for transportation management operations.

Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Fleet operators struggle with high total‑ownership costs, fragmented telematics data, and the complexity of transitioning mixed combustion‑electric fleets while maintaining regulatory compliance and safety standards.

Solution

VivaDrive delivers an AI‑driven platform that unifies management of combustion and electric vehicles on a single interface. The system ingests telematics, IoT sensor streams and external data to build a real‑time digital twin of the fleet, enabling predictive analytics that surface cost‑saving opportunities, schedule proactive maintenance, and flag safety risks. Automated route and charging‑plan optimization reduces fuel and electricity consumption, while AI‑generated recommendations identify the most profitable vehicles to electrify. Integrated dashboards provide instant visibility of utilization, emissions, and compliance metrics, and the platform connects directly to existing ERP, CRM, ESB and SSO systems. Deployment follows a Forward‑Deployed Engineer model, embedding technical experts within the client organization to ensure rapid integration, GDPR‑compliant on‑premise or EU‑cloud hosting, and measurable ROI within the first quarter.

Target Audience

The solution targets large‑scale enterprise fleet operators in Europe—including logistics, corporate mobility, insurance, energy and automotive sectors—who need to cut operating costs, improve safety, and accelerate electric‑vehicle adoption.

Features

  • Predictive analytics engine that forecasts failures, optimizes fuel/energy use, and quantifies cost reductions up to 40 %
  • Digital twin simulation layer for scenario planning, EV adoption modeling, and charging‑infrastructure design
  • Real‑time ingestion of telematics, IoT sensors, and external data sources for unified fleet visibility
  • Automated route optimization and intelligent charging‑schedule generation based on tariffs, power limits, and vehicle state‑of‑charge
  • Driver behavior monitoring with safety alerts, risk scoring, and coaching recommendations
  • ESG and CO₂ reporting module that produces audit‑ready emissions dashboards and regulatory filings
  • Seamless integration adapters for ERP, CRM, ESB, and SSO platforms, enabling data flow without manual interfaces
  • Forward‑Deployed Engineer (FDE) implementation model delivering on‑site expertise, rapid configuration, and first‑month impact tracking
This profile is AI-generated and may contain inaccuracies.