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Viaduct

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Palo Alto, United StatesFounded 2019461K+ followers
Updated 20 months ago

Funding

$20.9M 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

Founder details are not available yet.

Product

Problem

Automotive OEMs, fleets, and suppliers face challenges in minimizing warranty expenses, reducing unplanned failures, and decreasing maintenance costs due to the complexity of vehicle systems and the vast amounts of data generated by connected vehicles. Traditional analytics often lag behind emerging issues, making it difficult to proactively address systemic quality problems and predict component failures. This reactive approach leads to increased downtime, higher costs, and potential customer dissatisfaction.

Solution

Viaduct offers an AI-powered platform that analyzes connected vehicle data to provide predictive maintenance and quality insights for automotive OEMs, fleets, and suppliers. The platform identifies anomalous patterns in fault and sensor data, enabling early detection of systemic quality issues and prediction of component health and remaining useful life. By leveraging machine learning, Viaduct helps customers shift from reactive to proactive maintenance strategies, minimizing warranty expenses, reducing unplanned failures, and decreasing overall maintenance costs throughout the vehicle lifecycle. The platform's insights enable targeted aftermarket promotions and enhanced preventative maintenance routines.

Target Audience

Viaduct primarily targets automotive OEMs seeking to reduce warranty costs, fleets aiming to minimize downtime and lower maintenance expenses, and suppliers looking to generate demand through targeted aftermarket promotions.

Features

  • AI-powered analytics platform for connected vehicle data
  • Anomaly detection in fault and sensor data to identify systemic quality issues
  • Predictive maintenance capabilities to forecast component health and remaining useful life
  • Component health scoring to prioritize vehicles for maintenance and spare parts allocation
  • Customizable dashboards for visualizing key performance indicators and trends
  • Metric API for integrating insights into existing systems
  • Mobile apps for iOS and Android
This profile is AI-generated and may contain inaccuracies.