Case Study

nClouds AWS Case Study | CloudCar

CloudCar optimizes its infrastructure 24/7 with the help of nClouds.
About CloudCar

CloudCar delivers cloud-based machine learning solutions to leading automotive original equipment manufacturers (OEMs) that enhance the driving experience. Their platform uses natural language voice technology, combined with innovations in machine learning, to deliver unique and intuitive driver experiences, while providing OEMs valuable business opportunities and monetization. For more information, visit:

Automotive, connected car technology, machine learning
Palo Alto, CA
The Challenge
Deliver cloud scale and security.
Featured Services

Better security

Improved responsiveness

Better products


Deliver cloud scale and security

CloudCar delivers cloud-based solutions to automotive OEMs. Their services and content give OEMs the ability to gather and manage data, create unique driver-centric intuitive experiences, and rapidly deploy services to new geographic regions without requiring firmware updates.

CloudCar began to experience exponential growth when their product made waves in the press and within elite automotive circles. As the organization scaled and they began to train new employees, it became apparent they lacked an infrastructure that could securely manage user data from multiple sources.

“Starting with our first engagement, a 15-day sprint to meet strict compliance and infrastructure requirements of our biggest client, it was clear the nClouds team takes our partnership seriously and have the skills to help us win. They are an essential partner.”


nClouds Solution Architecture for CloudCar

nClouds was able to meet CloudCar’s initial, challenging 15-day deadline and move their entire environment over to a virtual private cloud (VPC), where it was then only accessible via a secure connection to the virtual private network (VPN). Apache Kafka, Apache Storm, and Apache Zookeeper were also used as big data solutions, allowing CloudCar to process terabytes of data.

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