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WideSense

WideSense is an AI cloud platform that provides context-aware software solutions for electric vehicle fleet management, enabling efficient vehicle deployment and operational optimization. The platform addresses the challenges of fleet electrification by offering real-time insights and guidance on vehicle assignment, charging strategies, and depot configuration.

Berkeley, United StatesFounded 201915500+ followers
Updated 4 months ago

Funding

$3.7M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

Product

Problem

Electric vehicle (EV) fleet operators face challenges in efficiently deploying vehicles, optimizing charging strategies, and configuring depots to maximize cost-effectiveness and reliability. Inefficient planning and real-time operational decisions can lead to increased energy costs, vehicle downtime, and suboptimal fleet performance.

Solution

WideSense offers an AI-powered cloud platform that provides context-aware software solutions for electric vehicle fleet management, enabling efficient vehicle deployment and operational optimization. The platform delivers real-time insights and guidance on vehicle assignment, charging strategies, and depot configuration. By leveraging AI, WideSense helps fleet operators make data-driven decisions to reduce costs, improve vehicle utilization, and ensure reliable EV fleet operations. The platform supports use cases such as EV fleet design, depot optimization, real-time operational guidance, and performance monitoring.

Target Audience

The primary target audience includes electric bus operators, EV ride-hailing services, EV service fleets, and EV delivery companies.

Features

  • AI-powered algorithms for optimizing vehicle-to-work assignments in real-time.
  • EV fleet design tools to determine the optimal number and type of vehicles for specific operational needs.
  • Depot configuration optimization to improve workflow, queuing, and charge delivery.
  • EV energy models for accurate energy consumption forecasting and charging strategy development.
  • Performance monitoring and insights for components, vehicles, work assignments, and financial performance.
This profile is AI-generated and may contain inaccuracies.