Living Labs

AIM Lab

Consulting audits that evaluate data, infrastructure, and use-case maturity, then propose a practical roadmap for deploying AI in the partner organisation.

Applied computer vision for manufacturing quality control and operational monitoring, including classification, tracking, and automated visual inspection workflows.

Support for building consortia and preparing proposals under schemes such as TA ČR and Horizon Europe, from concept to project execution.

Education for industrial partners, from practitioner workshops to structured training in machine learning, data mining, and neural-network methods.

Contract R&D covering custom predictive models for industrial and commercial partners, from architecture design through training and evaluation on partner data.

Data-engineering support that turns heterogeneous industrial data into structured datasets suitable for modelling, monitoring, and production ML pipelines.

Methods for continual learning from data streams, including concept-drift detection and memory architectures that prevent catastrophic forgetting in production models.

The lab deploys and adapts generative language models on local infrastructure so that company data stay on-premise, including retrieval-augmented generation and semantic analysis of internal documents.

Algorithms and dashboards for industrial telemetry that detect anomalies, estimate remaining useful life, and report operational status in real time.

Simulation of storage, production, and logistics flows so partners can evaluate layout and sequencing decisions before physical deployment.

Industrial optimization of robotic trajectories using computational geometry, machine learning, and multi-objective methods to raise transfer efficiency and shorten cycle times.