
Digital Products
Software that combines engineering, AI, and advanced analytics.
Our digital product suite transforms operational data into actionable intelligence for critical industries. From predictive logistics to dimensional quality control, each product leverages our deep engineering knowledge to solve real industrial challenges.
Advanced Technologies

Stockwatch
Logistics intelligence for spare parts and maintenance supply chains.
Stockwatch is a logistics intelligence solution for inventory optimisation (spare parts, tooling and consumable materials)
Supply chain diagnostics and scenario simulation in the maintenance of complex assets: aircraft, defence vehicles, rolling stock, wind turbines and critical infrastructure. It turns operational data into a digital twin of the integrated support structure, enabling quantitative, evidence-based decisions that balance availability, shortage risk and fixed-asset investment.

Stockview
Consumption prediction and planning for industrial organisations.
Stockview helps industrial organisations plan maintenance supply chains efficiently. It analyses historical consumption and operational context to anticipate which items will be needed, when shortages may occur and what to prioritise.

InspectionEye
AI-powered visual inspection for industrial quality control.
INSPECTIONEYE is an industrial visual inspection platform that uses Computer Vision to detect, classify and document defects with speed and consistency — reducing inspection times by over 60%.
It transforms images and video streams into actionable quality insights, enabling production teams to automatically log defects, make quality decisions, strengthen traceability, and embed automated inspection into daily operations to reduce inspection times.

VectorAI
Digital Metrology & Dimensional Inspection
VECTOR-AI is an advanced metrology platform the extracts the full potential from point cloud data to obtain maximum precision geometrical deviation analysis, without the need for external mechanical fastening devices.
