CUSTOM AI DEVELOPMENT · AUTOMOTIVE
AI-POWERED AUTOMOTIVE SOLUTIONS
Test more design variations in less time with AI surrogate models.
We build AI surrogate models that replace large, complex simulations with fast, accurate approximations. Combined with automated optimisation, they let engineering teams explore far more design variations for drag reduction, weight reduction and downforce, and get real-time responses where they matter.
Surrogate models for real-time optimisation
Proprietary neural networks and genetic algorithms
Same team and engine as Prime AI’s production software
THE PROBLEM
WHY VEHICLE OPTIMISATION IS SLOW
Performance gains come from testing many design variations, but each high-fidelity simulation takes time and compute.
EXPENSIVE SIMULATION
Large, complex models are too slow to run inside an optimisation loop or in real time.
COMPETING TARGETS
Drag, weight, downforce and efficiency pull in different directions.
LIMITED ITERATIONS
Deadlines mean only a handful of design variations are ever evaluated.
GENERIC TOOLS
General-purpose AI platforms are not built for engineering optimisation.
WHAT WE BUILD
AI FOR AUTOMOTIVE ENGINEERING
Our automotive work centres on surrogate modelling and automated optimisation.
SURROGATE MODEL DEVELOPMENT
Neural network surrogates that replace large, complex systems for optimisation or real-time, fast response.
HIGH-PERFORMANCE OPTIMISATION
Automated optimisation for drag reduction, weight reduction and downforce increase.
RAPID DESIGN ITERATION
Faster, more accurate simulation so teams can test many more design variations, improving performance, fuel efficiency and overall design.
Have a design or simulation challenge? Tell us about it.
OUR ENGINE
PROPRIETARY TECHNOLOGY, NOT A RESOLD PLATFORM
We do not resell a general-purpose platform. Three in-house technologies do the heavy lifting, each matched to the task.
NEURAL NETWORKS
Small, agile networks for classification, surrogate development, forecasting and pattern recognition.
In automotive: surrogate models that stand in for slow, complex simulations.
IMAGE PROCESSING
Larger convolutional networks for image classification, image segmentation and background removal.
In automotive: classification and segmentation of engineering and test imagery.
GENETIC ALGORITHMS
Hybrid evolutionary optimisation using multiple cross-over, mutation and evolution techniques.
In automotive: multi-objective optimisation of drag, weight and downforce.
The same team and engine are behind Prime AI’s production software, including the Beständige Geräte-ID-API and the Clothing Size Finder used by retailers today. You work with engineers who ship production AI, not slideware.
HOW WE WORK
FROM FIRST CALL TO PRODUCTION
01
FREE CONSULTATION
Explain your challenge, or just explore how AI could streamline and enhance your current business practices. No commitment.
02
DISCOVERY & SCOPING
We review your data, systems and success criteria, then propose an approach, timeline and budget range.
03
PROOF OF CONCEPT
A focused prototype on your own data, so you can judge accuracy and value before scaling.
04
PRODUCTION & MLOps
Deployment to cloud, on-premise or edge, with monitoring, retraining and ongoing support.
FAQ
AUTOMOTIVE AI FAQ
A surrogate is a fast neural network trained to approximate a large, complex simulation. Once trained, it can evaluate a design almost instantly, which makes optimisation and real-time responses practical.
On the automotive side we focus on drag reduction, weight reduction and downforce increase, and on balancing these against each other with multi-objective optimisation.
Yes. Models are built around your own data. During discovery and scoping we review what data you have, its quality and format, and whether more is needed before committing to an approach.
Yes. We deploy models across cloud, on-premise or edge environments, with CI/CD, version control, monitoring, drift detection and automated retraining to keep them accurate over time.
Every project is scoped individually, based on the problem, the data available and the accuracy and integration required. We usually start with a focused proof of concept on your own data, and you get an approach, timeline and budget range before any commitment.
You explain your challenge, or simply explore how AI could streamline and enhance your current business practices. We’ll tell you honestly whether AI is the right tool and, if it is, what a sensible first step looks like. There’s no commitment.
RELATED
CUSTOM AI IN RELATED INDUSTRIES
TELL US ABOUT YOUR DESIGN CHALLENGE
Book a free consultation. We will tell you honestly whether AI is the right tool and, if it is, what a sensible first step looks like.