CUSTOM AI DEVELOPMENT · LOGISTICS
AI-POWERED LOGISTICS SOLUTIONS
Optimise loading, routing and security with AI built for your operation.
We build bespoke AI for logistics: optimal loading strategies for containers and vessels, real-time image processing of container X-rays to flag potential threats, and full-journey route and fleet optimisation that balances cost against delivery speed. Every solution is custom-built to your requirements.
Peer-reviewed research in automated mission optimisation
Genetic algorithms and surrogate neural networks in real time
100% custom solutions
THE PROBLEM
WHERE LOGISTICS OPERATIONS LOSE EFFICIENCY
Logistics decisions involve many constraints at once, often under time pressure.
LOADING COMPLEXITY
Size, weight, form factor, compatibility and risk all constrain how a container can be loaded.
COST VS SPEED
Routes and fleets must balance lowest cost against fastest delivery.
SECURITY SCREENING
Reviewing container X-ray images manually is slow and depends on the operator.
GENERIC TOOLS
Off-the-shelf planners rarely model your specific constraints.
WHAT WE BUILD
AI FOR LOADING, ROUTING AND SECURITY
Solutions custom-built around each client’s requirements.
LOADING OPTIMISATION
Find the optimum loading strategy for any container, or for vessels carrying multiple containers, based on size, weight, form factor, content compatibility and risk factor.
ROUTE, JOURNEY & FLEET OPTIMISATION
Full-journey multi-objective optimisation for lowest-cost and fastest-delivery trade-offs, plus full fleet management, using genetic algorithms and surrogate neural networks to find solutions in real time.
X-RAY THREAT DETECTION
Real-time image processing of container X-rays to identify potential threat items and trigger immediate containment actions.
REAL APPLICATIONS
- Optimum loading strategies for containers and multi-container vessels
- Real-time image processing of container X-rays to identify potential threat items
Have a loading, routing or screening problem? 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 logistics: surrogate models that evaluate routes and plans in real time.
IMAGE PROCESSING
Larger convolutional networks for image classification, image segmentation and background removal.
In logistics: threat detection in container X-ray images.
GENETIC ALGORITHMS
Hybrid evolutionary optimisation using multiple cross-over, mutation and evolution techniques.
In logistics: multi-objective loading, route and fleet 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
MISSION OPTIMISATION, PUBLISHED
Our route and mission optimisation builds on published research in automated numerical optimisation over an entire mission.
PUBLICATIONS
Michael Blaize, Doyle Knight, Khaled Rasheed (1998). Optimal missile inlet design by means of automated numerical optimization (over entire mission). Proceedings of the RTO Meeting.
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
LOGISTICS AI FAQ
Container and vessel loading, full-journey routes, and fleet management. Optimisation balances competing objectives, such as lowest cost against fastest delivery, within your constraints.
Surrogate neural networks evaluate options quickly, and genetic algorithms search for the best multi-objective solutions, which makes real-time optimisation practical.
Yes. Image processing models analyse container X-rays in real time to identify potential threat items and trigger the relevant containment actions.
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 LOGISTICS 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.