CUSTOM AI DEVELOPMENT · ENGINEERING
AI-POWERED ENGINEERING SOLUTIONS
Design optimisation and predictive insight from a team with published engineering research and granted patents.
We build bespoke AI for engineering teams: surrogate models and genetic algorithms that refine aerodynamics, material properties and structural integrity, plus monitoring and predictive analytics that catch faults early. Every solution is tailored to a specific engineering challenge, not a generic platform.
Peer-reviewed: Journal of Propulsion and Power · AIAA
Granted patents: GB2536006B · US9657714B2
Proprietary neural networks and genetic algorithms
THE PROBLEM
WHERE ENGINEERING PROGRAMMES SLOW DOWN
Engineering teams balance performance, cost and safety under tight deadlines. These are the bottlenecks AI can relieve.
SLOW SIMULATION
High-fidelity simulations limit how many design options can be explored.
COMPLEX TRADE-OFFS
Cost, durability and performance must be optimised together across many parameters.
LATE FAULT DETECTION
Failures are found after they affect safety, reliability or output.
MANUAL PROCESSES
Repetitive engineering tasks consume time and introduce errors.
WHAT WE BUILD
AI BUILT FOR ENGINEERING TEAMS
Each solution is designed around your data, your simulation tools and your design constraints.
DESIGN OPTIMISATION & SIMULATION
AI-driven simulation that refines aerodynamics, material properties and structural integrity, optimising designs for cost, durability and performance.
AUTOMATION & INTELLIGENT MANUFACTURING
Predictive maintenance and automation of complex engineering processes, reducing manual effort and errors.
REAL-TIME ANALYTICS & FAULT DETECTION
Monitoring and predictive analytics that provide instant performance analysis and detect faults before they cause failures.
ENERGY & SUSTAINABILITY OPTIMISATION
Optimising renewable energy systems, such as wind turbine efficiency and grid performance, to reduce waste and improve resource management.
Have an engineering challenge in mind? 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 engineering: surrogate models and predictive analytics for fast, data-driven decisions.
IMAGE PROCESSING
Larger convolutional networks for image classification, image segmentation and background removal.
In engineering: fault detection and inspection image analysis.
GENETIC ALGORITHMS
Hybrid evolutionary optimisation using multiple cross-over, mutation and evolution techniques.
In engineering: global multi-parameter, multi-objective design optimisation.
Our engineering roots go deep: peer-reviewed research on automated optimal design of high-speed missile inlets (Journal of Propulsion and Power; AIAA), and granted UK and US patents in wind turbine technology (GB2536006B, US9657714B2). See our aerospace work →
RESEARCH & PATENTS
ENGINEERING ROOTS, PUBLISHED AND PATENTED
Our optimisation work is grounded in peer-reviewed engineering research and granted patents.
PUBLICATIONS
Michael Blaize, Doyle Knight, Khaled Rasheed (1998). Automated Optimal Design of Two-Dimensional Supersonic Missile Inlets. Journal of Propulsion and Power.
PATENTS
US9657714B2
Vertical Axis Wind Turbine Rotor and Aerofoil. US patent, granted 2017.
GB2536006B
Eddy current brake assembly, particularly for a vertical axis wind turbine. UK patent, granted 2020.
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.
Perguntas Frequentes
ENGINEERING AI FAQ
We train surrogate neural networks on your simulation results so designs can be evaluated in a fraction of the time, then use genetic algorithms to search large, multi-objective design spaces for the best trade-offs.
Our work spans aerospace, automotive, renewable energy and military engineering, covering design optimisation, simulation, predictive maintenance and fault detection.
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.
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TELL US ABOUT YOUR ENGINEERING 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.