Artificial Intelligence & Machine Learning
Models for vision, language, forecasting and anomaly detection, built with reproducible training pipelines and deployed with monitoring.
Explore AI & Machine LearningServices
Five practices cover the work we take on. Each has its own page with deliverables, methods, typical applications and answers to common questions.
Choose a practice to see what we deliver and how a project runs.
Models for vision, language, forecasting and anomaly detection, built with reproducible training pipelines and deployed with monitoring.
Explore AI & Machine LearningThreat modelling, security testing, secure architecture and detection engineering for IT, cloud, IoT and industrial control networks.
Explore CybersecurityPerception, localisation, planning and control software for mobile robots, manipulators and drones, tested in simulation before hardware.
Explore Robotics & Intelligent SystemsFeasibility studies, hybrid quantum-classical prototypes and post-quantum cryptography migration, with honest limits on what current hardware can do.
Explore Quantum ComputingOptical wireless links and networks for RF-restricted and security-sensitive indoor spaces, from link budget to installed access points.
Explore Li-Fi SystemsMany systems need more than one discipline. An inspection robot needs perception models, a secure update channel and sometimes an optical data link. One team handles the whole scope.
Discuss a combined projectEngagement models
You can move from one model to the next as confidence grows, and you can stop after any of them.
Feasibility studies, architecture and design reviews, audits of existing systems and independent assessment of vendor proposals. The output is a written recommendation.
A time-boxed experiment with a fixed question and written success criteria. It ends with evidence for a decision to proceed, change course or stop.
Design, implementation, testing, deployment and documentation of a production system, delivered in milestones that you review.
Maintenance, monitoring, retraining, retesting and planned enhancements after release, under agreed support hours.
Choosing a starting point
If the question is whether data can predict, classify or detect something, begin with AI and machine learning. If the concern is how a system could be attacked or whether it meets a security requirement, begin with cybersecurity.
If a machine has to sense its surroundings and act without an operator, see autonomous robotics and intelligent systems. If you have been asked for a position on quantum computing, or you need to plan the move to post-quantum cryptography, see quantum computing solutions.
If a space cannot use radio, or a signal must stay within a room, see Li-Fi system design and development. For sector-specific examples, the industries page lists typical applications in manufacturing, healthcare, agriculture, telecom, government and research.
The first conversation is about your problem and ends with a clear next step, even if that step is not with us.