Discover 5 Top Startups building Connected Vehicle Platforms

Staying ahead of the technology curve means strengthening your competitive advantage. That is why we give you data-driven innovation insights into the automotive industry. This time, you get to discover 5 hand-picked startups building connected vehicle platforms.

Out of 612, the Global Startup Heat Map highlights 5 Top building Connected Vehicle Platforms

The insights of this data-driven analysis are derived from the Big Data & Artificial Intelligence (AI)-powered StartUs Insights Discovery Platform, covering 2 093 000+ startups & scaleups globally. The platform gives you an exhaustive overview of emerging technologies & relevant startups within a specific field in just a few clicks.

The Global Startup Heat Map below reveals the distribution of the 612 exemplary startups & scaleups we analyzed for this research. Further, it highlights 5 automotive startups that we hand-picked based on criteria such as founding year, location, funding raised, and more. You get to explore the solutions of these 5 startups & scaleups in this report. For insights on the other 607 connected vehicle platforms solutions, get in touch.

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Comodiff develops a Fleet Management Platform

Founding Year: 2016
Location: Istanbul, Turkey
Partner for: Fleet & Driver Monitoring, Data-Driven Vehicle Insurance Management

Turkish startup Comodif offers connected-fleet management software. The startup’s software-as-a-service (SaaS) platform enables drivers to manage their cars in real-time and eliminate security concerns. The system uses data analytics to understand the danger through pattern recognition and notifies the driver beforehand. It also enables managers to remotely monitor fleet operations, manage order fulfillment, and track drivers in real-time. In addition, it offers fuel consumption data and reports abnormal consumption patterns to reduce fuel costs. Further, the startup’s technology allows insurance companies to utilize the vehicle data and optimize policies according to the behavioral insights of driver and fleet conditions. The platform allows firms to save costs by providing data-driven insurance and fraud detection solutions.

Viaduct offers Connected Vehicle Analytics

Founding Year: 2018
Location: Menlo Park, US
Partner for: Predictive Maintenance, Quality Management

US-based startup Viaduct builds an analytics platform for connected vehicles. The startup develops an end-to-end data analytics software that enables original equipment manufacturers (OEMs) to manage, analyze, and utilize connected vehicle data. The solution uses machine learning (ML) to generate vehicle health scores at the component, assembly, and system levels. It then utilizes AI to predict failures and allow OEMs to plan service campaigns and implement predictive maintenance. Additionally, the startup offers customized solutions like warranty management and demand forecasting to improve automotive supply chain operations.

iRider provides a Connected Bike Platform

Founding Year: 2017
Location: Sarthe, France
Partner for: Driver Assistance System, Rider Analytics

iRider is a French startup that develops iRAS, a connected bike platform. The AI-based platform predicts risk by understanding and interpreting complex data from the sensors connected to the bike. The solution uses a predictive navigation system to identify the safest cycling lanes, along with sensors to detect theft and predict nearby hazards. Further, it learns the driving behavior of each rider and provides recommendations to improve their riding skill through a self-learning tool. The startup thus enables bike manufacturers to enhance vehicle safety with personalized data insights and allows fleet operators to ensure vehicle safety compliance and protect consumers.

Saferide enables Vehicle Health Maintenance

Founding Year: 2018
Location: Tel Aviv, Israel
Partner for: Vehicle Health Management, Automotive Cybersecurity

Israeli startup Saferide provides a platform for vehicle health management, cybersecurity, and data analytics. The startup’s Vehicle Health Management tool predicts the faults in a vehicle beforehand. It also estimates the remaining life of the existing components and reports operational malfunctions for healthy fleet maintenance. In addition, the startup’s SafeRide’s vSentry solution combines AI profiling and anomaly detection technologies to catch tech vulnerabilities and provide vehicle cybersecurity. The solution monitors all external communication to the vehicle, in-vehicle network traffic, and electronic control unit (ECU) software, in real-time, to provide a zero false-positive firewall, intrusion detection, and prevention system (IDPs). The startup enables automotive engineers to build a safe and efficient fleet.

Sheeva.AI facilitates In-Vehicle Commerce

Founding Year: 2016
Location: Alexandria, US
Partner for: Digital Fuel Card, Smart Parking

Sheeva.AI is a US-based startup that develops cloud-based connected vehicle platforms. The platform collects connected vehicle data to send alerts to the energy service providers when any driver passes through or requires fueling. It also allows food and retail owners to directly collect payment from digital car wallets whenever the car arrives. This enables auto-parking, auto-fueling, and auto-payment facilities for vehicle owners. In addition, the platform allows filling stations and retailers to send personalized ads while customers are at the location. The solution provides customer insights like customer location and competitors to increase in-vehicle sales.

Discover more Automotive Startups

Automotive startups such as the examples highlighted in this report focus on connected cars, fleet management, and driver behavior analytics. While all of these technologies play a major role in advancing the automotive industry, they only represent the tip of the iceberg. To explore more automotive technologies, simply get in touch to let us look into your areas of interest. For a more general overview, you can download our free Automotive Innovation Report to save your time and improve strategic decision-making.