Runtime Library for
On-Site Deployment

Runtime Library for
On-Site Deployment

Runtime library for real-time model deployment

to on-site inspection systems.

Runtime library for real-time model deployment
to on-site inspection systems.

runtime library

Achieve target inference speed
even in inline systems

Achieve target inference speed
even in inline systems

Achieve target inference speed
even in inline systems

Reliable inference across diverse on-site environments

Neuro-R provides APIs to deploy models created with Neuro-T and Neuro-T Engine to on-site inspection equipment.

runtime library

Core Technology

Flexible model deployment

Flexible integration and stable inference across a variety of equipment, systems and operation environments.

Core Technology

Flexible model deployment

Flexible integration and stable inference across a variety of equipment, systems and operation environments.

Integration environments

Camera

Processor

Software

Hardware

Platforms

GPU

CPU

NPU

Embedded Board

Programming languages

C++

C#

Python

Contact us for more details on deployment and integration.

Contact us

Features

Fast inference and on-site deployment

Model optimization for high-speed inspection

Create models suitable for high-speed inspection environments with inference speed optimization options.

runtime library

Model optimization for high-speed inspection

Create models suitable for high-speed inspection environments with inference speed optimization options.

runtime library

Achieve high-speed inspection in real-time in any inspection environment.

Achieve high-speed inspection in real-time in any inspection environment.

Freely configure and utilize 11 different model types to support a wide range of projects across industries.

Model optimization for edge devices

Create lightweight models through quantization and embedded device optimization features for fast inspection.

runtime library

Model optimization for edge devices

Create lightweight models through quantization and embedded device optimization features for fast inspection.

runtime library

Model optimization for edge devices

Freely configure and utilize 11 different model types to support a wide range of projects across industries.

runtime library

Ensures smooth real-time inspection on resource-limited devices such as NPU and embedded boards.

Ensures smooth real-time inspection on resource-limited devices such as NPU and embedded boards.

Freely configure and utilize 11 different model types to support a wide range of projects across industries.

Flexible implementation methods

Utilize predictor structure for simple model calls, and executor structure for finer control and customization.

runtime library

Flexible implementation methods

Utilize predictor structure for simple model calls, and executor structure for finer control and customization.

runtime library

Partners

Trusted by global hardware partners

Neurocle is supporting more flexible on-site deployment through collaboration with global hardware partners.

Partners

Trusted by global hardware partners

Neurocle is supporting more flexible on-site deployment through collaboration with global hardware partners.

Frequently asked questions about Neuro-R

What is Neuro-R?

Neuro-R is a runtime library that applies deep learning models generated from Neuro-T and Neuro-T Engine to analyze and utilize images or video streams received from target devices in real time. Neuro-R supports various platforms and processors, including CPU, GPU, NPU, and embedded boards, enabling flexible real-time inspection in any environment.

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-R

What is Neuro-R?

Neuro-R is a runtime library that applies deep learning models generated from Neuro-T and Neuro-T Engine to analyze and utilize images or video streams received from target devices in real time. Neuro-R supports various platforms and processors, including CPU, GPU, NPU, and embedded boards, enabling flexible real-time inspection in any environment.

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-R

What is Neuro-R?

Neuro-R is a runtime library that applies deep learning models generated from Neuro-T and Neuro-T Engine to analyze and utilize images or video streams received from target devices in real time. Neuro-R supports various platforms and processors, including CPU, GPU, NPU, and embedded boards, enabling flexible real-time inspection in any environment.

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.