Trainable Neural Controllers and AI Software
FOR MONITORING AND AUTOMATION
UAB Neurotechnologijos offers an NT Industrial Automation Solution designed to solve pattern recognition problems in images, live and recorded video stream, audio signals, vibrations and other free-form signals. An NT Industrial Automation system consists of an NT Adaptive Controller and one or more software modules running on a server. The machine learning process is handled by a NeuroMem digital neural network.
Up to 500K recognition
per second
Lightning recognition
of one model among N and logical decision in milliseconds
Powered by
the NeuroMem AI chips
The neurons store
digital models of text, signals and image frames
Less than 300 milliWatts
per 1000 neurons
Adaptive controllers - NT Adaptive ™
News
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More details2026.10.29.. Why Use Trainable Pattern Recognition at the Edge?
Why use trainable pattern recognition? Learn how edge controllers classify changing industrial signals fast, efficiently, and near the source, on site.
More details2026.10.27.. Embedded Pattern Recognition for Industrial Control
Embedded pattern recognition enables fast, low-power industrial decisions from vision, audio, vibration, and free-form sensor signals at the edge on-site.
More details2026.10.25.. Industrial AI for Real-Time Machine Decisions
Industrial AI brings real-time recognition to images, video, vibration, audio, and process signals, enabling fast, efficient decisions at the industrial edge.
More details2026.10.23.. Essential Edge Inference Features for Industry
Essential edge inference features determine whether industrial AI can classify signals, inspect assets, and act reliably under real operating constraints.
More details