From data preparation to deployment, SOTA provides the tools you need to build, optimize, and integrate your deep learning models seamlessly. Explore how SOTA can streamline your next AI project.
Toolkits
Deep Learning
A comprehensive solution for training, optimizing, and deploying deep learning models, integrating ONNX Runtime for multi-platform compatibility and enhanced performance.
Computer Vision
Designed for computer vision tasks, this toolkit simplifies segmentation, object detection, and tracking with integrated annotation and image processing tools.
Accelerator
An optimized environment for leveraging GPU power, enabling accelerated inference and model optimization through standards like TensorRT and ONNX.

GenAI
Specifically designed to generate content with generative AI models, such as text and images, seamlessly integrating into industrial and academic workflows.

Robotics
A suite of tools for simulation, control, and integration of robotic systems, with advanced applications in vision and planning.
Computer Vision
Designed for computer vision tasks, this toolkit simplifies segmentation, object detection, and tracking with integrated annotation and image processing tools.
Status : Beta test
The LabVIEW Computer Vision Module provides a robust suite of tools designed to handle and process visual data effectively. This module enables you to develop and deploy advanced computer vision applications that can perform real-time image processing, object detection, pattern recognition, and automated inspection within the LabVIEW environment.
MORE INFORMATIONS
The LabVIEW Computer Vision Module provides a robust suite of tools designed to handle and process visual data effectively. This module enables you to develop and deploy advanced computer vision applications that can perform real-time image processing, object detection, pattern recognition, and automated inspection within the LabVIEW environment.
MORE INFORMATIONS















Deep Learning
A comprehensive solution for training, optimizing, and deploying deep learning models, integrating ONNX Runtime for multi-platform compatibility and enhanced performance.
Status : Beta test
The LabVIEW Deep Learning Module is a comprehensive framework designed to streamline your deep learning projects. It allows you to load, edit, design, train, execute, integrate, and deploy any deep learning model with efficiency. Whether you’re working on computer vision, predictive analytics, or any other AI-driven application, this module provides the tools you need to build sophisticated neural network models directly within the familiar LabVIEW environment.
MORE INFORMATIONS
The LabVIEW Deep Learning Module is a comprehensive framework designed to streamline your deep learning projects. It allows you to load, edit, design, train, execute, integrate, and deploy any deep learning model with efficiency. Whether you’re working on computer vision, predictive analytics, or any other AI-driven application, this module provides the tools you need to build sophisticated neural network models directly within the familiar LabVIEW environment.
MORE INFORMATIONS

Accelerator
An optimized environment for leveraging GPU power, enabling accelerated inference and model optimization through standards like TensorRT and ONNX.
Status : Beta test
The LabVIEW GPU Processing Module is engineered to enhance your data processing capabilities by utilizing the power of GPUs. This module allows LabVIEW users to accelerate both upstream and downstream data processing tasks through parallel processing, significantly speeding up computations and data throughput.
MORE INFORMATIONS
The LabVIEW GPU Processing Module is engineered to enhance your data processing capabilities by utilizing the power of GPUs. This module allows LabVIEW users to accelerate both upstream and downstream data processing tasks through parallel processing, significantly speeding up computations and data throughput.
MORE INFORMATIONS


GenAI
Specifically designed to generate content with generative AI models, such as text and images, seamlessly integrating into industrial and academic workflows.
Status : To be developed
The GenAI Toolkit is a powerful framework designed to streamline your generative AI projects. It allows you to import, fine-tune, and execute Large Language Models (LLMs), Small Language Models (SLMs), and Vision-Language Models (VLMs) with ease. Whether you’re working on predictive analytics, conversational AI, or any other AI-driven application, this module provides the tools you need to seamlessly integrate intelligent agents into your software architecture, all within the familiar LabVIEW environment.
MORE INFORMATIONS
The GenAI Toolkit is a powerful framework designed to streamline your generative AI projects. It allows you to import, fine-tune, and execute Large Language Models (LLMs), Small Language Models (SLMs), and Vision-Language Models (VLMs) with ease. Whether you’re working on predictive analytics, conversational AI, or any other AI-driven application, this module provides the tools you need to seamlessly integrate intelligent agents into your software architecture, all within the familiar LabVIEW environment.
MORE INFORMATIONS


Robotics
A suite of tools for simulation, control, and integration of robotic systems, with advanced applications in vision and planning.
Status : To be developed
The Robotics Toolkit is a powerful framework designed to streamline your robotics projects. It allows you to simulate, control, and deploy robotic systems with ease. Whether you’re working on motion planning, autonomous navigation, or sensor integration, this toolkit provides the tools you need to seamlessly integrate intelligent robotic agents into your hardware and software architecture, all within the familiar LabVIEW environment.
MORE INFORMATIONS

The Robotics Toolkit is a powerful framework designed to streamline your robotics projects. It allows you to simulate, control, and deploy robotic systems with ease. Whether you’re working on motion planning, autonomous navigation, or sensor integration, this toolkit provides the tools you need to seamlessly integrate intelligent robotic agents into your hardware and software architecture, all within the familiar LabVIEW environment.
MORE INFORMATIONS

Tools

FIG
An interactive graphical tool based on LabVIEW, designed to simplify model development and real-time visualization.

LMS
An integrated learning platform to track, manage, and enhance training processes in AI and new technologies.

Annotator
A modular creation environment to assemble, optimize, and test complex model architectures without coding.

Builder
An intuitive tool for annotating and preparing datasets, essential for creating accurate and robust models.

Data
A centralized solution for managing, processing, and analyzing large datasets, tailored to various use cases.
Visualize

Netron

Netron
An intuitive model visualization tool designed to explore and analyze neural network architectures with ease, providing a clear and interactive representation of each layer and its parameters.
Status : Beta test
Netron is an indispensable tool for visualizing and analyzing deep learning models from frameworks like Keras, TensorFlow, PyTorch, and ONNX. It provides an intuitive interface to explore model architectures, inspect layers, and understand parameter structures. With features like detailed layer visualization, parameter inspection, and compatibility with LabVIEW for the Deep Learning Module, Netron simplifies model debugging, optimization, and integration into production workflows. It’s the go-to solution for clear, interactive insights into your AI models.
MORE INFORMATIONS
Netron is an indispensable tool for visualizing and analyzing deep learning models from frameworks like Keras, TensorFlow, PyTorch, and ONNX. It provides an intuitive interface to explore model architectures, inspect layers, and understand parameter structures. With features like detailed layer visualization, parameter inspection, and compatibility with LabVIEW for the Deep Learning Module, Netron simplifies model debugging, optimization, and integration into production workflows. It’s the go-to solution for clear, interactive insights into your AI models.
MORE INFORMATIONS


FIG
An interactive graphical tool based on LabVIEW, designed to simplify model development and real-time visualization.
Status : Beta test
FIG (File Importator and Generator) is an essential toolkit for importing and converting deep learning models from Keras, TensorFlow, PyTorch, and ONNX. It allows model visualization with Netron, generates classic text summaries, and imports models into LabVIEW for use with the Deep Learning Module. It offers functionalities like model conversion, quantization, LabVIEW integration, visualization, and exportation.
MORE INFORMATIONS
FIG (File Importator and Generator) is an essential toolkit for importing and converting deep learning models from Keras, TensorFlow, PyTorch, and ONNX. It allows model visualization with Netron, generates classic text summaries, and imports models into LabVIEW for use with the Deep Learning Module. It offers functionalities like model conversion, quantization, LabVIEW integration, visualization, and exportation.
MORE INFORMATIONS


LMS
An integrated learning platform to track, manage, and enhance training processes in AI and new technologies.
Status : To be developed
Language Model Studio (LMS) is a versatile tool designed for importing, fine-tuning, executing, and deploying any LLM (Large Language Model) or SLM (Small Language Model). It also offers model quantization capabilities and allows the creation of chat agents and Retrieval-Augmented Generation (RAG) systems.
MORE INFORMATIONS

Language Model Studio (LMS) is a versatile tool designed for importing, fine-tuning, executing, and deploying any LLM (Large Language Model) or SLM (Small Language Model). It also offers model quantization capabilities and allows the creation of chat agents and Retrieval-Augmented Generation (RAG) systems.
MORE INFORMATIONS


Annotator
A modular creation environment to assemble, optimize, and test complex model architectures without coding.
Status : In development
Image Annotator is a comprehensive toolkit designed for importing, editing, and annotating any dataset. It offers advanced preprocessing and data augmentation capabilities. Additionally, the tool enables the generation of Deep Learning projects for training and executing object detection or segmentation models, providing a wide selection of models and deep learning training architectures.
MORE INFORMATIONS
Image Annotator is a comprehensive toolkit designed for importing, editing, and annotating any dataset. It offers advanced preprocessing and data augmentation capabilities. Additionally, the tool enables the generation of Deep Learning projects for training and executing object detection or segmentation models, providing a wide selection of models and deep learning training architectures.
MORE INFORMATIONS


Builder
An intuitive tool for annotating and preparing datasets, essential for creating accurate and robust models.
Status : To be developed
The LabVIEW Executable Builder is designed to streamline deployment for your projects using the SOTA toolkits. It efficiently builds, packages, and deploys executable applications, importing necessary DLLs for smooth functionality. Ideal for complex software, high-performance computing, or any robust deployment needs, this tool provides everything to create and distribute sophisticated executables.
MORE INFORMATIONS

The LabVIEW Executable Builder is designed to streamline deployment for your projects using the SOTA toolkits. It efficiently builds, packages, and deploys executable applications, importing necessary DLLs for smooth functionality. Ideal for complex software, high-performance computing, or any robust deployment needs, this tool provides everything to create and distribute sophisticated executables.
MORE INFORMATIONS


Data
A centralized solution for managing, processing, and analyzing large datasets, tailored to various use cases.
Status : To be developed
The Data Toolkit is a robust solution for managing, processing, and transforming datasets for AI workflows. It simplifies the entire data preparation lifecycle, from cleaning and normalization to augmentation and formatting, ensuring that your datasets are optimized for training and analysis. With seamless integration into cloud storage and database systems, the Data Toolkit empowers you to maintain consistency and scalability across large-scale AI projects while providing advanced features like version control and automated preprocessing pipelines.
MORE INFORMATIONS

The Data Toolkit is a robust solution for managing, processing, and transforming datasets for AI workflows. It simplifies the entire data preparation lifecycle, from cleaning and normalization to augmentation and formatting, ensuring that your datasets are optimized for training and analysis. With seamless integration into cloud storage and database systems, the Data Toolkit empowers you to maintain consistency and scalability across large-scale AI projects while providing advanced features like version control and automated preprocessing pipelines.
MORE INFORMATIONS

Environments

Super Mario
A playful environment based on the iconic game, used for research in reinforcement learning and artificial intelligence.

ViZDoom
An immersive platform for testing AI algorithms in first-person shooter simulation environments.

Gymnasium
A modern extension for OpenAI Gym, offering a wide variety of reinforcement learning environments.

Atari
A collection of iconic games used to train and evaluate machine learning models.

Highway
A realistic simulator for developing AI algorithms applied to autonomous vehicles and mobility.

Stable Retro
A retro-optimized environment for exploring AI models on classic games and systems, focusing on stability and reproducibility.

Super Mario
A playful environment based on the iconic game, used for research in reinforcement learning and artificial intelligence.
Status : Coming soon
An OpenAI Gym environment for Super Mario Bros. and Super Mario Bros. 2 (Lost Levels) on the NES enabling full control over the environment. This setup includes all 32 stages and ensures efficient training by only sending reward-able gameplay frames to agents, excluding cut-scenes and loading screens.
MORE INFORMATIONS
An OpenAI Gym environment for Super Mario Bros. and Super Mario Bros. 2 (Lost Levels) on the NES enabling full control over the environment. This setup includes all 32 stages and ensures efficient training by only sending reward-able gameplay frames to agents, excluding cut-scenes and loading screens.
MORE INFORMATIONS


ViZDoom
An immersive platform for testing AI algorithms in first-person shooter simulation environments.
Status : Coming soon
ViZDoom is an environment allowing the development of AI bots that play DOOM using visual information from the screen buffer. Primarily intended for research in machine visual learning and deep reinforcement learning, ViZDoom supports various learning approaches, including reinforcement learning, learning from demonstration, and apprenticeship learning.
MORE INFORMATIONS
ViZDoom is an environment allowing the development of AI bots that play DOOM using visual information from the screen buffer. Primarily intended for research in machine visual learning and deep reinforcement learning, ViZDoom supports various learning approaches, including reinforcement learning, learning from demonstration, and apprenticeship learning.
MORE INFORMATIONS


Gymnasium
A modern extension for OpenAI Gym, offering a wide variety of reinforcement learning environments.
Status : Available SOTA beta
Gymnasium is now available in LabVIEW, providing an API for all single-agent reinforcement learning environments. This project includes implementations of common environments such as CartPole, Pendulum, MountainCar, MuJoCo, and more, making it a comprehensive platform for developing and testing AI algorithms in a variety of settings.
MORE INFORMATIONS
Gymnasium is now available in LabVIEW, providing an API for all single-agent reinforcement learning environments. This project includes implementations of common environments such as CartPole, Pendulum, MountainCar, MuJoCo, and more, making it a comprehensive platform for developing and testing AI algorithms in a variety of settings.
MORE INFORMATIONS


Atari
A collection of iconic games used to train and evaluate machine learning models.
Status : Coming soon
Atari environments are now available in LabVIEW via the OpenAI Gym, simulated through the Arcade Learning Environment (ALE) using the Stella emulator. These environments offer a diverse set of classic Atari games, facilitating research in reinforcement learning and providing a robust platform for developing and testing AI algorithms.
MORE INFORMATIONS
Atari environments are now available in LabVIEW via the OpenAI Gym, simulated through the Arcade Learning Environment (ALE) using the Stella emulator. These environments offer a diverse set of classic Atari games, facilitating research in reinforcement learning and providing a robust platform for developing and testing AI algorithms.
MORE INFORMATIONS


Highway
A realistic simulator for developing AI algorithms applied to autonomous vehicles and mobility.
Status : Coming soon
The Highway environment is now available in LabVIEW, offering a collection of environments designed for autonomous driving and tactical decision-making tasks. This setup provides a versatile platform for developing and testing AI algorithms in realistic driving scenarios, facilitating research and innovation in autonomous vehicle technologies.
MORE INFORMATIONS
The Highway environment is now available in LabVIEW, offering a collection of environments designed for autonomous driving and tactical decision-making tasks. This setup provides a versatile platform for developing and testing AI algorithms in realistic driving scenarios, facilitating research and innovation in autonomous vehicle technologies.
MORE INFORMATIONS


Stable Retro
A retro-optimized environment for exploring AI models on classic games and systems, focusing on stability and reproducibility.
Status : Coming soon
Stable Retro, now available in LabVIEW, is a fork of gym-retro that lets you turn classic video games for reinforcement learning. It includes additional games, emulators, and supported platforms. Unlike gym-retro, which is now in maintenance mode, Stable Retro accepts new games, platforms, and bug fixes, allowing for continuous updates and improvements through pull requests.
MORE INFORMATIONS
Stable Retro, now available in LabVIEW, is a fork of gym-retro that lets you turn classic video games for reinforcement learning. It includes additional games, emulators, and supported platforms. Unlike gym-retro, which is now in maintenance mode, Stable Retro accepts new games, platforms, and bug fixes, allowing for continuous updates and improvements through pull requests.
MORE INFORMATIONS
