AI Automotive Solutions

Insightful AI solutions that can help you create efficiencies
at every stage of your business.

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AI Service for the Automotive Industry

Our AI and deep learning-based solutions are designed to help OEMs and AI automotive solutions to drastically improve efficiencies and make faster data-driven decisions. AI has the potential to transform key processes like R&D, maintenance, and safety regulation. Ultimately, this helps automakers save time and cost and focus on those initiatives that show the most potential for growth in other key functional areas.

AI Service for the Automotive Industry

Folio3’s Advanced AI Solutions for Automotive

Folio3 thrives to enable clients to maximize key efficiencies in different processes and enhance products and services by leveraging the power of AI. Our deep learning expertise enables us to create innovative bespoke solutions for the automotive industry to help them become more efficient and competitive by transforming key performance areas.

01. Onboard Vehicle Systems

Onboard Vehicle Systems

Revolutionize in-vehicle systems like navigation, user interfaces, and location services to provide drivers more information about road situations and hazards.

02. Computer vision

Computer Vision

Leverage computer vision to provide advanced features like obstruction detection, lane detection, pedestrian detection, traffic, and other signage on roads.

03.2 Predictive analysis

Predictive Analysis

Accurately predict road and driving conditions by leveraging big data and analytics.

04. Predictive maintenance

Predictive Maintenance

Avoid system and part failures by always staying ahead of your maintenance needs. Collect data from onboard units and alert drivers about urgent maintenance.

AI Use Cases in Automotive

Folio3 has years of experience in building bespoke solutions for clients. We work closely with clients to develop key synergies and deliver solutions that are designed to create that perfect fit to give them the edge they need.

Fleet Management

Parts Manufacturing

Vehicle Servicing

Insurance Management

Vehicle Telemetry & Data

Connected Cars & IoT

Some of our Work



One-touch conference call and dialer app developed for the Jaguar InControl Apps platform.


German Automotive Manufacturer

App integration with the Samsung Smart Things platform for a German Automotive Manufacturer.

Need an AI-based solution for your organization?

Get in touch with our experts and book a free 1-hr consultancy to discuss your project!

Why Choose Folio3?

15+ Years of Experience

15+ Years of Experience

With over 15 years of experience in delivering deep and powerful insights to our clients that help maximize performance, we have worked in a range of scenarios that help us identify your problem quickly and deploy insightfully-built smart solutions!

Certified Experts

Certified Experts

Our certified experts in AI help companies address key issues that lower their performance with original strategies and solutions that are devised specifically for them.

1000+ Enterprise-Level Clients

1000+ Enterprise-Level Clients

By working for over 15 years in the industry, we are proud to have built a vast network of highly satisfied clients!

Still have questions?

No worries, get in touch with our experts and we will walk you through our offerings.

AI Automotive Solutions FAQs

How is AI used in cars?

AI and Machine Learning applications are used in cars to accomplish different things like navigation, traffic detection, lane detection and assist, and other functionalities involving IoT sensors, cameras, etc.

What kind of data does a self-driving car use?

Self-driving cars crunch data from a range of sensors to identify and understand their surroundings, like cameras, radar, lidar, GPS, computer vision, sonar, etc. Using this data the car is able to navigate paths, detect and avoid obstructions, and read road markers and signs.

What is Artificial Intelligence in the automotive industry?

AI can be utilized in many ways across different business functions, ranging from improving efficiencies in manufacturing, optimizing the business processes like warranties and claims, developing onboard systems for cars, running autonomous systems in self-driving cars, etc.


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