Our mission is to be the leading machine learning solution for real-world, sparse and noisy data problems in industrial R&D and manufacturing processes.
Our advanced deep learning technology originated from the work of Dr Gareth Conduit and collaborators at the Cavendish Laboratory, University of Cambridge. At Intellegens, we have further developed this work to build a unique Artificial Intelligence (AI) toolset that can train deep neural networks from sparse or noisy data, where other machine learning approaches fail. These capabilities are available through the Alchemite™ software. Our Cambridge-based development team continues to extend and improve Alchemite™ based on close collaboration with our customers and partners.
A Data-Driven Approach to Industrial Innovation
We spoke with SEA-KIT International about their offshore technology which keeps sustainability and environmental awareness at the core of its activities.
Motion control technologies are vital to the safe and efficient functioning of many robot devices. Learn more about what the future looks like for this area of design.
Cloud computing offers access to huge amounts of data processing capacity and storage space to the food industry, allowing key challenges in the sector to be addressed.
This page discusses Celera Motion’s Capitan Series to their line of premium performance Ingenia servo drives.
This page details the capabilities of the TeraRanger Evo Mini, a single- and multi-pixel capability in one sensor.
The basis of the fiber alignment system is a very stiff set-up consisting of the H-811 hexapod and P-616 NanoCube® nanopositioner.