Auto Deep Learning Training Engine

Auto Deep Learning Training Engine

High-performance Auto Deep Learning

training module for flexible integration

on various systems.

High-performance Auto Deep Learning
training module for flexible integration
on various systems.

auto deep learning training engine
auto deep learning training engine

Develop customized inspection systems
without fixed UI constraints

Develop customized inspection systems
without fixed UI constraints

Develop customized inspection systems without fixed UI constraints

High-performance Auto Deep Learning training module

Neuro-T Engine is a training engine that runs in CLI or API modes without a fixed UI.

auto deep learning training engine

Scenarios

Design AI vision systems optimized for on-site environment

Scenarios

Design AI vision systems optimized for on-site environment

  • High-performance training system built with your own brand identity

    Build your own training software or integrate training functionality into existing systems while maintaining the existing UI. Use Neuro-T Engine as if it was your own technology with your own brand identity.

  • Data viewers and studios for model evaluation

    Build dedicated viewers or studios for model performance analysis. Select the optimal model by comparing multiple models using data files (*.json, *.db) generated during training and evaluation.

  • Central operation platform for efficient production control

    Build centralized monitoring platforms to manage the entire training process by gathering data from multiple production lines. View model operations across all production lines at a glance while managing them with utmost consistency and efficiency.

  • On-site MLOps with continuous model performance updates

    Build MLOps that continuously improves inspection performance by immediately feeding on-site equipment data into the training process. Neuro-T Engine supports various OS and execution modes without any UI constraints, enabling rapid deployment of MLOps optimized for on-site environments.

  • High-performance training system built with your own brand identity

    Build your own training software or integrate training functionality into existing systems while maintaining the existing UI. Use Neuro-T Engine as if it was your own technology with your own brand identity.

  • High-performance training system built with your own brand identity

    Build your own training software or integrate training functionality into existing systems while maintaining the existing UI. Use Neuro-T Engine as if it was your own technology with your own brand identity.

  • Data viewers and studios for model evaluation

    Build dedicated viewers or studios for model performance analysis. Select the optimal model by comparing multiple models using data files (*.json, *.db) generated during training and evaluation.

  • Central operation platform for efficient production control

    Build centralized monitoring platforms to manage the entire training process by gathering data from multiple production lines. View model operations across all production lines at a glance while managing them with utmost consistency and efficiency.

  • On-site MLOps with continuous model performance updates

    Build MLOps that continuously improves inspection performance by immediately feeding on-site equipment data into the training process. Neuro-T Engine supports various OS and execution modes without any UI constraints, enabling rapid deployment of MLOps optimized for on-site environments.

Features

Train models on on-site equipment

API / CLI execution modes

Select between API or CLI mode depending on your training functionality integration environment.

API / CLI execution modes

Select between API or CLI mode depending on your training functionality integration environment.

Single / Multi-GPU configuration

Allocate GPU resources in a way that best suits your on-site environments and task characteristics

Single / Multi-GPU configuration

Allocate GPU resources in a way that best suits your on-site environments and task characteristics

11 deep learning models for solving complex projects

Configure and utilize 11 different models as appropriate for each project and integrate them into your system.

Learn more

11 deep learning models for solving complex projects

Configure and utilize 11 different models as appropriate for each project and integrate them into your system.

Learn more

Benefits

What you will experience

Integrate training functionalities into existing systems

Develop custom UI with no fixed UI constraints

Maximize operation efficiency with simple workflow

Frequently asked questions about Neuro-T Engine

What is Neuro-T Engine?

Neuro-T Engine is a product that optimizes the advanced training modules of Neuro-T into an engine form, based on Neurocle’s proprietary Auto Deep Learning Algorithm. With Neuro-T Engine, training and retraining can be performed directly within on-site equipment environments, and deep learning capabilities can be embedded into applications inside the equipment. This enables the implementation of a flexible MLOps environment in manufacturing sites.

What kind of company is Neurocle?

Neurocle is a deep learning vision software company founded in 2019 with the goal of enabling anyone—regardless of expertise—to easily use deep learning vision technology. Neurocle has successfully launched its deep learning vision software products, including Neuro-T, Neuro-T Engine, Neuro-R, and Neuro-EDU, and has expanded into 40 countries across Asia and Europe. The company has received the Innovators Awards from Vision Systems Design in the U.S. for five consecutive years and has also been selected for the Emerging AI+X Top 100 for four consecutive years, demonstrating its technological capabilities and achievements.

What products does Neurocle offer?

Neurocle provides an auto deep learning software ecosystem that supports the entire lifecycle of AI deep learning vision inspection. Its key products include Neuro-T, a deep learning model training software; Neuro-R, a runtime library for deployment in real environments; and Neuro-T Engine, a training engine for on-site retraining and MLOps implementation.

Who are Neurocle’s customers?

Leading companies, ranging from major domestic enterprises to global corporations, use Neurocle’s auto deep learning software for vision inspection. Key customers include Samsung, LG, Hyundai, SK, Lotte, Hanwha, Renault, KG, Hankook Tire, NEXEN Tire, Amkor Technology, Infineon, P&G, and Siemens. Neurocle provides its solutions across a wide range of manufacturing industries, including semiconductors, automotive, batteries, electronics, and food & beverage.

What is Neurocle’s core competitiveness?

Neurocle’s core competitiveness lies in its extensive hands-on experience across diverse manufacturing environments and its continuously advanced technological capabilities. From its proprietary auto deep learning algorithms to MLOps, Edge AI, and generative AI, Neurocle rapidly develops the AI vision technologies required in manufacturing and supports their stable deployment in real production processes. These technological capabilities and execution strengths have already been validated in the global market.

In what environments is Neurocle’s software used?

Neurocle’s software is used across a wide range of manufacturing industries regardless of industry type or on-site conditions, including semiconductors, secondary batteries, automotive, steel, food & beverage, pharmaceuticals & biotechnology, and medical devices. It is applied to various AI vision inspection tasks, such as semiconductor wafer surface defect inspection, automotive assembly inspection, and battery lead tab inspection.

Frequently asked questions about Neuro-T Engine

What is Neuro-T Engine?

Neuro-T Engine is a product that optimizes the advanced training modules of Neuro-T into an engine form, based on Neurocle’s proprietary Auto Deep Learning Algorithm. With Neuro-T Engine, training and retraining can be performed directly within on-site equipment environments, and deep learning capabilities can be embedded into applications inside the equipment. This enables the implementation of a flexible MLOps environment in manufacturing sites.

What kind of company is Neurocle?

Neurocle is a deep learning vision software company founded in 2019 with the goal of enabling anyone—regardless of expertise—to easily use deep learning vision technology. Neurocle has successfully launched its deep learning vision software products, including Neuro-T, Neuro-T Engine, Neuro-R, and Neuro-EDU, and has expanded into 40 countries across Asia and Europe. The company has received the Innovators Awards from Vision Systems Design in the U.S. for five consecutive years and has also been selected for the Emerging AI+X Top 100 for four consecutive years, demonstrating its technological capabilities and achievements.

What products does Neurocle offer?

Neurocle provides an auto deep learning software ecosystem that supports the entire lifecycle of AI deep learning vision inspection. Its key products include Neuro-T, a deep learning model training software; Neuro-R, a runtime library for deployment in real environments; and Neuro-T Engine, a training engine for on-site retraining and MLOps implementation.

Who are Neurocle’s customers?

Leading companies, ranging from major domestic enterprises to global corporations, use Neurocle’s auto deep learning software for vision inspection. Key customers include Samsung, LG, Hyundai, SK, Lotte, Hanwha, Renault, KG, Hankook Tire, NEXEN Tire, Amkor Technology, Infineon, P&G, and Siemens. Neurocle provides its solutions across a wide range of manufacturing industries, including semiconductors, automotive, batteries, electronics, and food & beverage.

What is Neurocle’s core competitiveness?

Neurocle’s core competitiveness lies in its extensive hands-on experience across diverse manufacturing environments and its continuously advanced technological capabilities. From its proprietary auto deep learning algorithms to MLOps, Edge AI, and generative AI, Neurocle rapidly develops the AI vision technologies required in manufacturing and supports their stable deployment in real production processes. These technological capabilities and execution strengths have already been validated in the global market.

In what environments is Neurocle’s software used?

Neurocle’s software is used across a wide range of manufacturing industries regardless of industry type or on-site conditions, including semiconductors, secondary batteries, automotive, steel, food & beverage, pharmaceuticals & biotechnology, and medical devices. It is applied to various AI vision inspection tasks, such as semiconductor wafer surface defect inspection, automotive assembly inspection, and battery lead tab inspection.

Frequently asked questions about Neuro-T Engine

What is Neuro-T Engine?

Neuro-T Engine is a product that optimizes the advanced training modules of Neuro-T into an engine form, based on Neurocle’s proprietary Auto Deep Learning Algorithm. With Neuro-T Engine, training and retraining can be performed directly within on-site equipment environments, and deep learning capabilities can be embedded into applications inside the equipment. This enables the implementation of a flexible MLOps environment in manufacturing sites.

What kind of company is Neurocle?

Neurocle is a deep learning vision software company founded in 2019 with the goal of enabling anyone—regardless of expertise—to easily use deep learning vision technology. Neurocle has successfully launched its deep learning vision software products, including Neuro-T, Neuro-T Engine, Neuro-R, and Neuro-EDU, and has expanded into 40 countries across Asia and Europe. The company has received the Innovators Awards from Vision Systems Design in the U.S. for five consecutive years and has also been selected for the Emerging AI+X Top 100 for four consecutive years, demonstrating its technological capabilities and achievements.

What products does Neurocle offer?

Neurocle provides an auto deep learning software ecosystem that supports the entire lifecycle of AI deep learning vision inspection. Its key products include Neuro-T, a deep learning model training software; Neuro-R, a runtime library for deployment in real environments; and Neuro-T Engine, a training engine for on-site retraining and MLOps implementation.

Who are Neurocle’s customers?

Leading companies, ranging from major domestic enterprises to global corporations, use Neurocle’s auto deep learning software for vision inspection. Key customers include Samsung, LG, Hyundai, SK, Lotte, Hanwha, Renault, KG, Hankook Tire, NEXEN Tire, Amkor Technology, Infineon, P&G, and Siemens. Neurocle provides its solutions across a wide range of manufacturing industries, including semiconductors, automotive, batteries, electronics, and food & beverage.

What is Neurocle’s core competitiveness?

Neurocle’s core competitiveness lies in its extensive hands-on experience across diverse manufacturing environments and its continuously advanced technological capabilities. From its proprietary auto deep learning algorithms to MLOps, Edge AI, and generative AI, Neurocle rapidly develops the AI vision technologies required in manufacturing and supports their stable deployment in real production processes. These technological capabilities and execution strengths have already been validated in the global market.

In what environments is Neurocle’s software used?

Neurocle’s software is used across a wide range of manufacturing industries regardless of industry type or on-site conditions, including semiconductors, secondary batteries, automotive, steel, food & beverage, pharmaceuticals & biotechnology, and medical devices. It is applied to various AI vision inspection tasks, such as semiconductor wafer surface defect inspection, automotive assembly inspection, and battery lead tab inspection.