APPLIED AI

Automotive & Mobility

From autonomous vehicles to factory floor robots, we accelerate e-mobility 

In the mobility industry, AI is not optional. Its the technological foundation of competitive advantage.

Transformation

Digital disruption is transforming the automobile industry into a mobility and service industry. OptimalAI helps deliver organizational impact in this new economy. From driverless cars to robots on the factory floor we can help generate data-driven revenue streams, reduce supply chain disruptions and accelerate the transition to e-mobility.

Autonomous Vehicles

We are world leaders in computer vision research and support SAE's Level 5 designation; fully autonomous vehicles operating without steering wheels or acceleration/braking pedals and free from geofencing. This can be applied to an array of autonomous vehicle technologies from robo-taxis (self-driving, e-hailing) to autonomous commercial trucking. We can also help develop new commercial models such as platooning - groups of autonomous trucks closely following one another - to enable more efficient fuel consumption due to aerodynamics.

Battery Management

OptmalAI can significantly help overall battery management in Electric Vehicles. We can optimise fast-charging capabilities without compromising the lifespan of vehicles, improve battery performance and life cycle management, including driving range and charging time.

Connected Vehicles

Applying AI to connected vehicle data enables prediction of issues and faults prior to them occurring. OptimalAI can help real time monitor vehicles and live connect them with supplier parts and OEMs to automate root-cause analysis and optimize field quality processes.

Supply Chains

Disruptions to automotive supply chains - such semiconductor shortages - are a constant threat. OptimalAI connects data sources across the supply chain that enables live transparency. By predicting disruptions before they impact we can help optimise the efficiency and resiliency of automotive supply chains. This can be further enhanced by seamlessly linking IoT connected infrastructure and vehicles to create real time intelligent supply chains that monitor and predict optimal decision-making.

Predictive Maintenance

Target 10–20% EBIT improvement by using machine learning to enhance predictive maintenance, automate fault prediction and increase capital productivity. AI optimizes the root cause analysis and prediction of infrastructure issues enabling the monitoring and anticipation of failures.

Automotive Digital Twins

OptimalAI digital twins enable automotive manufacturing organisations to optimise production with an automated feedback loop. This increases first time right, improves in-field performance and shortens cycle times for critical investigations.  Production and inventory management are calibrated to optimize costs. Unforeseen production changes and supply chain disruptions are responded to without sacrificing the commitment to quality and safety.

Quality and Warranty

We integrate datasets across suppliers, dealers, diagnostics, vehicle telematics, warranty claims, and more to provide a holistic view of quality. This reduces issue resolution cycle time and decreases the time to answer regulatory inquiries.

Optimized Pricing

Optimize pricing with time-of-day and dynamic tariffing; match producers and consumers in real time.

Engineers

Allow infrastructure maintenance and optimization to be repeatable and auto-scalable. Seamlessly integrate siloed data to provide engineers with live transparency of total assets and information from across data multiple sources. Enable on-demand analysis to identify opportunities for performance enhancement.