Neurolcle, a company specializing in AI deep learning vision inspection, will participate in the “Smart Factory + Automation World 2026 (AW 2026)” and InterBattery 2026, both held in March. At these exhibitions, Neurolcle plans to unveil for the first time its new product, ‘Neuro-T Engine,’ designed for implementing MLOps in manufacturing environments.

Neurolcle is a provider of AI deep learning vision inspection software specialized for manufacturing environments. Based on its proprietary Auto Deep Learning algorithms, the company offers model training software ‘Neuro-T’ and the runtime library ‘Neuro-R,’ delivering AI vision inspection solutions to industries requiring high-precision inspection, such as semiconductors, automotive, and batteries.

In recent manufacturing industries, as processes become more advanced and products more sophisticated, fine and irregular defects are increasing, while the expansion of edge environments in production lines and frequent changes in process conditions are also becoming more common. However, conventional AI vision inspection systems often require retraining and model updates to be performed in external environments even when performance degradation occurs after initial model deployment, making immediate on-site response difficult.

To address this, Neurolcle developed ‘Neuro-T Engine,’ a deep learning training engine capable of on-site retraining within manufacturing environments. Neuro-T Engine provides API and CLI-based execution modes, allowing seamless integration of high-performance training modules into various systems. This enables companies to establish an MLOps-based operational framework that can quickly respond to newly defects and changes in process conditions on the production floor.

With this, Neurolcle has completed an end-to-end software ecosystem encompassing model training (Neuro-T), inference (Neuro-R), and retraining (Neuro-T Engine). By enabling integrated management from initial model training to retraining and maintenance within a single framework, it is expected to provide a practical solution for manufacturing environments.

At this exhibition, Neurolcle will also introduce another new technology, ‘Image Enhancement.’ This technology improves images with high noise or low resolution to enhance the visibility of fine defects, with a particular focus on addressing low-quality image issues in battery manufacturing processes. Through this, both inspection accuracy and stability can be improved simultaneously.

These new products and technologies can be experienced at the Neurolcle booth during “Automation World 2026” from March 4 to 6 and “InterBattery 2026” from March 11 to 13. The booth will feature various AI deep learning vision inspection demos across multiple industries, showcased in diverse edge platform environments.

Hongseok Lee, CEO of Neurolcle, stated, “Through our participation in AW 2026 and InterBattery 2026, we aim to present Neurolcle’s approach to building an AI environment that can be continuously operated and advanced in manufacturing sites,” adding, “Starting from this, we plan to further strengthen Neurolcle’s position in the manufacturing industry in 2026.”