Neurocle, a specialized AI Deep Learning vision software company led by CEO Hongsuk Lee, announced on June 22 that it won the Gold Award at the 2026 Innovators Awards, presented by the global machine vision publication Vision Systems Design (VSD).

The Innovators Awards is one of the most prestigious global recognition programs in machine vision and image processing, selecting honorees based on technical innovation, industry contribution, and market impact. With this latest award, Neurocle achieved its sixth consecutive year of recognition, once again proving its technological excellence and credibility in the global machine vision market.

▲ Neurocle’s ‘Neuro-T Engine,’ introduced as a Gold Award-winning product at the 2026 Innovators Awards ceremony

The Gold Award-winning Neuro-T Engine is an Auto Deep Learning training engine designed to integrate high-performance AI training capabilities into various systems and hardware.

Neurocle previously developed Auto Deep Learning technology that automatically optimizes hyperparameters and model architectures, allowing users to generate high-performance models without specialized deep learning expertise. Driven by this technology, the GUI-based, No-Code software Neuro-T won the top Platinum Award at the 2024 Innovators Awards, validating its technological excellence.

While powered by the same core Auto Deep Learning technology, the Neuro-T Engine differentiates itself by offering API and CLI modes instead of a GUI. This enables machine builders, automation equipment manufacturers, and system integrators to seamlessly embed AI training into their existing equipment and software environments.

In particular, it is optimized for building on-site, customized AI training pipelines that manage data collection, training data, automated model retraining, and deployment based on real-time production data. Even in manufacturing environments facing a shortage of advanced AI experts, this allows factory operators and equipment personnel to instantly maintain models and continuously enhance performance without additional development overhead. As a result, AI adoption and operational costs are significantly reduced.

▲ Neurocle’s ‘Neuro-T Engine’ Gold Award plaque and a snapshot from the 2026 Innovators Awards ceremony

“It is highly meaningful that the global market has recognized the innovation of the Neuro-T Engine, which allows for the flexible integration of AI training capabilities into various inspection systems,” said Neurocle CEO Hongsuk Lee. “Winning the Innovators Awards for six consecutive years demonstrates that Neurocle’s deep learning vision technology and product competitiveness are continuously validated on the global stage.”

With this milestone, Neurocle plans to further solidify its position as a leading global provider of an 'All-in-One Deep Learning Vision Software platform.' Powered by its core Auto Deep Learning technology, the company has established a comprehensive product line comprising Neuro-T (No-Code AI model training software), the Neuro-T Engine (embedded AI training engine), and Neuro-R (a runtime library delivering stable inference in high-speed, inline production environments). Through this complete ecosystem, global SIs and manufacturers can immediately implement the entire AI vision inspection workflow using a single platform, eliminating the need for separate technology integration.

Moving forward, Neurocle plans to expand beyond AI model development to continuously advance deployment technologies, such as Edge AI and hardware optimization, ensuring stable AI operations in actual industrial environments. Rather than simply building high-performance AI models, the company’s strategy is to evolve into an integrated AI vision platform. Neurocle aims to support both AI model developers and the on-site users who operate those models by providing software that can be easily deployed across diverse platform environments.

Building on this foundation, the company will accelerate its global market expansion by strengthening collaborations with global SI firms, automation equipment manufacturers, and hardware partners to build a robust partnership network across the manufacturing AI ecosystem.