Industries we serve

Manufacturing

Plants run on tight cycle times, older control systems and networks that were never designed to face the internet. A change that stops a line costs more than it saves, so new technology has to be introduced beside the existing process and proven before it takes over.

Typical applications

• Visual inspection and predictive maintenance models (AI & Machine Learning)
• Segmentation of IT and OT networks and passive monitoring of controllers (Cybersecurity)
• Mobile robots for material movement and vision-guided handling (Robotics & Intelligent Systems)
• Optical data links in cells with heavy electromagnetic interference (Li-Fi Systems)

Healthcare

Patient safety and confidentiality come first. Models must be validated on data from outside the development site, their role has to be decision support, and health records need protection for decades. Some clinical rooms also restrict radio emissions.

Typical applications

• Image and signal analysis with external validation and de-identification (AI & Machine Learning)
• Protection of patient data and isolation of networked medical devices (Cybersecurity)
• Indoor delivery robots for samples and supplies (Robotics & Intelligent Systems)
• Post-quantum protection for long-lived records (Quantum Computing)
• Li-Fi connectivity in RF-restricted rooms (Li-Fi Systems)

Agriculture

Field conditions vary with season, variety, soil and light, and connectivity is often poor. Models trained on clean laboratory images tend to fail on photographs taken in a field, so data collection and testing across locations matter more than model size.

Typical applications

• Crop disease detection from phone and drone imagery, and yield and irrigation models (AI & Machine Learning)
• Autonomous rovers and drone surveys with GNSS-RTK navigation (Robotics & Intelligent Systems)
• Device identity and signed updates for sensor fleets (Cybersecurity)
• Greenhouse sensor links over LED lighting, as a research application (Li-Fi Systems)

Telecom

Operators manage large, heterogeneous networks under regulatory obligations for logging and incident reporting. Infrastructure stays in service for many years, which makes cryptographic migration slow and puts a premium on early planning.

Typical applications

• Traffic anomaly detection, capacity forecasting and fault prediction (AI & Machine Learning)
• API and network management security reviews (Cybersecurity)
• Post-quantum cryptography inventory and migration (Quantum Computing)
• Hybrid Li-Fi and Wi-Fi coverage for dense indoor venues (Li-Fi Systems)
• Drone inspection of towers (Robotics & Intelligent Systems)

Government and public sector

Public buyers need independent technical advice, documented methods and results that stand up to audit. Systems often hold citizen data, and procurement requires clear specifications and acceptance criteria.

Typical applications

• Security testing of portals and hosting environments (Cybersecurity)
• Document processing and analytics on public datasets (AI & Machine Learning)
• Technology evaluation and readiness studies for quantum and Li-Fi (Quantum Computing, Li-Fi Systems)
• Specification and acceptance-test support for technology procurement

Universities and research labs

Research groups need engineering capacity that understands experimental method: reproducible pipelines, version control of data and honest baselines. Funded projects also need defined work packages with deliverables and dates.

Typical applications

• Research software engineering and experiment pipelines (AI & Machine Learning)
• Quantum computing experiments on simulators and cloud hardware, and teaching laboratories (Quantum Computing)
• Robot platforms and ROS 2 drivers for custom hardware (Robotics & Intelligent Systems)
• Optical wireless testbeds (Li-Fi Systems)