Alternatives to NVIDIA Isaac GR00T
Compare NVIDIA Isaac GR00T alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to NVIDIA Isaac GR00T in 2026. Compare features, ratings, user reviews, pricing, and more from NVIDIA Isaac GR00T competitors and alternatives in order to make an informed decision for your business.
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NVIDIA Isaac
NVIDIA
NVIDIA Isaac is an AI robot development platform that comprises NVIDIA CUDA-accelerated libraries, application frameworks, and AI models to expedite the creation of AI robots, including autonomous mobile robots, robotic arms, and humanoids. The platform features NVIDIA Isaac ROS, a collection of CUDA-accelerated computing packages and AI models built on the open source ROS 2 framework, designed to streamline the development of advanced AI robotics applications. Isaac Manipulator, built on Isaac ROS, enables the development of AI-powered robotic arms that can seamlessly perceive, understand, and interact with their environments. Isaac Perceptor facilitates the rapid development of advanced AMRs capable of operating in unstructured environments like warehouses or factories. For humanoid robotics, NVIDIA Isaac GR00T serves as a research initiative and development platform for general-purpose robot foundation models and data pipelines. -
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NVIDIA Isaac Sim
NVIDIA
NVIDIA Isaac Sim is an open source reference robotics simulation application built on NVIDIA Omniverse, enabling developers to design, simulate, test, and train AI-driven robots in physically realistic virtual environments. It is built atop Universal Scene Description (OpenUSD), offering full extensibility so developers can create custom simulators or seamlessly integrate Isaac Sim's capabilities into existing validation pipelines. The platform supports three essential workflows; large-scale synthetic data generation for training foundation models with photorealistic rendering and automatic ground truth labeling; software-in-the-loop testing, which connects actual robot software with simulated hardware to validate control and perception systems; and robot learning through NVIDIA’s Isaac Lab, which accelerates training of behaviors in simulation before real-world deployment. Isaac Sim delivers GPU-accelerated physics (via NVIDIA PhysX) and RTX-enabled sensor simulation.Starting Price: Free -
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NVIDIA Isaac Lab
NVIDIA
NVIDIA Isaac Lab is a GPU‑accelerated, open source robot learning framework built on top of Isaac Sim, designed to unify and simplify robotics research workflows such as reinforcement learning, imitation learning, and motion planning. It leverages realistic sensor and physics simulation to support accurate training of embodied agents, providing ready‑to‑use environments, spanning manipulators, quadrupeds, and humanoids—with support for 30+ benchmark tasks and integration with popular RL libraries like RL Games, Stable Baselines, RSL RL, and SKRL. Isaac Lab features a modular, configuration‑driven design that enables developers to easily create, modify, and scale learning environments; it also supports collecting demonstrations via peripherals (gamepads, keyboards) and allows custom actuator models to facilitate sim‑to‑real transfer. The framework is built for both local and cloud deployment, accommodating flexible scaling of compute resources.Starting Price: Free -
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Gemini Robotics
Google DeepMind
Gemini Robotics brings Gemini’s capacity for multimodal reasoning and world understanding into the physical world, allowing robots of any shape and size to perform a wide range of real-world tasks. Built on Gemini 2.0, it augments advanced vision-language-action models with the ability to reason about physical spaces, generalize to novel situations, including unseen objects, diverse instructions, and new environments, and understand and respond to everyday conversational commands while adapting to sudden changes in instructions or surroundings without further input. Its dexterity module enables complex tasks requiring fine motor skills and precise manipulation, such as folding origami, packing lunch boxes, or preparing salads, and it supports multiple embodiments, from bi-arm platforms like ALOHA 2 to humanoid robots such as Apptronik’s Apollo. It is optimized for local execution and has an SDK for seamless adaptation to new tasks and environments. -
5
ISAAC
ISAAC Instruments
ISAAC offers in-cab technology that goes far beyond electronic logging devices (ELDs). We partner with fleets to simplify the life of truck drivers and keep the wheels turning. We provide a reliable, comprehensive open platform that allows trucking fleets to integrate all of their business apps on a single device. Our real-time, in-cab coaching supports eco-driving for unparalleled fuel savings and safer driving, while artificial intelligence (AI) technology empowers informed decision-making. ISAAC is the market leader in Canada and has a rapidly growing presence among top-performing trucking fleets across the United States. ISAAC is a proud member of the Allied Committee for the Trucking Industry (ACT 1), an elite group of suppliers committed to industry improvement. Best-in-class fleets partner with ISAAC to achieve even greater heights. Visit ISAAC website to see how we can help simplify your operations. -
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NVIDIA Jetson
NVIDIA
NVIDIA's Jetson platform is a leading solution for embedded AI computing, utilized by professional developers to create breakthrough AI products across various industries, as well as by students and enthusiasts for hands-on AI learning and innovative projects. The platform comprises small, power-efficient production modules and developer kits, offering a comprehensive AI software stack for high-performance acceleration. This enables the deployment of generative AI at the edge, supporting applications like NVIDIA Metropolis and the Isaac platform. The Jetson family includes a range of modules tailored to different performance and power efficiency needs, such as the Jetson Nano, Jetson TX2, Jetson Xavier NX, and the Jetson Orin series. Each module is designed to meet specific AI computing requirements, from entry-level projects to advanced robotics and industrial applications. -
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NVIDIA Cosmos
NVIDIA
NVIDIA Cosmos is a developer-first platform of state-of-the-art generative World Foundation Models (WFMs), advanced video tokenizers, guardrails, and an accelerated data processing and curation pipeline designed to supercharge physical AI development. It enables developers working on autonomous vehicles, robotics, and video analytics AI agents to generate photorealistic, physics-aware synthetic video data, trained on an immense dataset including 20 million hours of real-world and simulated video, to rapidly simulate future scenarios, train world models, and fine‑tune custom behaviors. It includes three core WFM types; Cosmos Predict, capable of generating up to 30 seconds of continuous video from multimodal inputs; Cosmos Transfer, which adapts simulations across environments and lighting for versatile domain augmentation; and Cosmos Reason, a vision-language model that applies structured reasoning to interpret spatial-temporal data for planning and decision-making.Starting Price: Free -
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Hello Customer
Insider Metrics
Hello Customer is the end-to-end customer feedback management platform that lets you collect, analyse and react to customer feedback in real-time. Set up customer satisfaction surveys with NPS, CSAT or CES and open feedback fields. Our AI engine ISAAC provides you with sentiment analysis and categorisation of the feedback so you can immediately see where your product or service is doing well or where you need to improve. -
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RoSi
Robotec.ai
RoSi is an end-to-end digital twin simulation platform that accelerates the development, training, and testing of robotics and automation systems, utilizing Software-in-the-Loop (SiL) and Hardware-in-the-Loop (HiL) simulations and generating synthetic datasets. It is applied to both classic and AI-powered technologies. RoSi is offered as a SaaS or on-premise software product. Key benefits include support for multiple robots and systems, realistic real-time simulation, unmatched performance and cloud scalability, open and interoperable standards (ROS 2, O3DE), and AI integrations for synthetic datasets and embodied AI. RoSi for Mining is designed to meet the needs of modern mining. It is utilized by mining companies, providers of mining technologies, and OEMs working within the mining industry. RoSi mining harnesses the power of optimized digital twin simulation technologies and scalable architecture to develop, validate, and test mining systems with unmatched efficiency and accuracy. -
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Linker Vision
Linker Vision
Linker VisionAI Platform is a comprehensive, end-to-end solution for vision AI, encompassing simulation, training, and deployment to empower smart cities and enterprises. It comprises three core components, Mirra, for synthetic data generation using NVIDIA Omniverse and NVIDIA Cosmos; DataVerse, facilitating data curation, annotation, and model training with NVIDIA NeMo and NVIDIA TAO; and Observ, enabling large-scale Vision Language Model (VLM) deployment with NVIDIA NIM. This integrated approach allows for the seamless transition from data simulation to real-world application, ensuring that AI models are robust and adaptable. Linker VisionAI Platform supports a range of applications, including traffic and transportation management, worker safety, disaster response, and more, by leveraging urban camera networks and AI to drive responsive decisions. -
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Millo-Mobile
Millo-Mobile
Millo-Mobile offers comprehensive trucking software. Features: – Order taking, order tracking. – Availability of equipment, drivers. – Distribution (Full loads, broken lots, LTL). – Brokerage-Logistics. – Integration of exchanges with drivers. – Calculation of fuel taxes (IFTA). – Garage (PEP preventive maintenance & repairs). – Driver envelopes, expense tracking. – Sub-contractors, income & deductibles. – Invoicing, rates & quotes. – HOS – Logbook management – Isaac integration – Dashboard (web application). – Circle check (mobile app) – Income & expenses, cost price. – Satellite integration.Starting Price: $350.00/year -
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Molmo
Ai2
Molmo is a family of open, state-of-the-art multimodal AI models developed by the Allen Institute for AI (Ai2). These models are designed to bridge the gap between open and proprietary systems, achieving competitive performance across a wide range of academic benchmarks and human evaluations. Unlike many existing multimodal models that rely heavily on synthetic data from proprietary systems, Molmo is trained entirely on open data, ensuring transparency and reproducibility. A key innovation in Molmo's development is the introduction of PixMo, a novel dataset comprising highly detailed image captions collected from human annotators using speech-based descriptions, as well as 2D pointing data that enables the models to answer questions using both natural language and non-verbal cues. This allows Molmo to interact with its environment in more nuanced ways, such as pointing to objects within images, thereby enhancing its applicability in fields like robotics and augmented reality. -
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Calculix
Calculix
With CalculiX finite element models can be built, calculated, and post-processed. The pre-and post-processor is an interactive 3D tool using the OpenGL API. The solver is able to do linear and non-linear calculations. Static, dynamic, and thermal solutions are available. Because the solver makes use of the abaqus input format it is possible to use commercial pre-processors as well. In turn the pre-processor can write mesh-related data for nastran, abaqus, ansys, code-aster, and for the free-cfd codes dolfyn, duns, ISAAC and OpenFOAM. A simple step reader is included. In addition, external CAD interfaces are available. The program is designed to run on Unix platforms like Linux and Irix computers but also on MS Windows. -
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NVIDIA Nemotron
NVIDIA
NVIDIA Nemotron is a family of open-source models developed by NVIDIA, designed to generate synthetic data for training large language models (LLMs) for commercial applications. The Nemotron-4 340B model, in particular, is a significant release by NVIDIA, offering developers a powerful tool to generate high-quality data and filter it based on various attributes using a reward model. -
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Mathstral
Mistral AI
As a tribute to Archimedes, whose 2311th anniversary we’re celebrating this year, we are proud to release our first Mathstral model, a specific 7B model designed for math reasoning and scientific discovery. The model has a 32k context window published under the Apache 2.0 license. We’re contributing Mathstral to the science community to bolster efforts in advanced mathematical problems requiring complex, multi-step logical reasoning. The Mathstral release is part of our broader effort to support academic projects, it was produced in the context of our collaboration with Project Numina. Akin to Isaac Newton in his time, Mathstral stands on the shoulders of Mistral 7B and specializes in STEM subjects. It achieves state-of-the-art reasoning capacities in its size category across various industry-standard benchmarks. In particular, it achieves 56.6% on MATH and 63.47% on MMLU, with the following MMLU performance difference by subject between Mathstral 7B and Mistral 7B.Starting Price: Free -
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Symage
Geisel Software
Symage is a synthetic data platform that generates custom, photorealistic image datasets with automated pixel-perfect labeling to support training and improving AI and computer vision models; using physics-based rendering and simulation rather than generative AI, it produces high-fidelity synthetic images that mirror real-world conditions and handle diverse scenarios, lighting, camera angles, object motion, and edge cases with controlled precision, which helps eliminate data bias, reduce manual labeling, and dramatically cut data preparation time by up to 90%. Designed to give teams the right data for model training rather than relying on limited real datasets, Symage lets users tailor environments and variables to match specific use cases, ensuring datasets are balanced, scalable, and accurately labeled at every pixel. It is built on decades of expertise in robotics, AI, machine learning, and simulation, offering a way to overcome data scarcity and boost model accuracy. -
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Accenture AI Refinery
Accenture
Accenture's AI Refinery is a comprehensive platform designed to help organizations rapidly build and deploy AI agents to enhance their workforce and address industry-specific challenges. The platform offers a collection of industry agent solutions, each codified with business workflows and industry expertise, enabling companies to customize these agents with their own data. This approach reduces the time to build and derive value from AI agents from months or weeks to days. AI Refinery integrates digital twins, robotics, and domain-specific models to optimize manufacturing, logistics, and quality through advanced AI, simulations, and collaboration in Omniverse, enabling autonomy, efficiency, and cost reduction across operations and engineering processes. The platform is built with NVIDIA AI Enterprise software, including NVIDIA NeMo, NVIDIA NIM microservices, and NVIDIA AI Blueprints, such as video search, summarization, and digital human. -
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Stanhope AI
Stanhope AI
Active Inference is a novel framework for agentic AI based on world models, emerging from over 30 years of research in computational neuroscience. From this paradigm, we offer an AI built for power and computational efficiency, designed to live on-device and on the edge. Integrating with traditional computer vision stacks our intelligent decision-making systems provide an explainable output that allows organizations to build accountability into their AI tools and products. We are taking active inference from neuroscience into AI as the foundation for software that will allow robots and embodied platforms to make autonomous decisions like the human brain. -
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PharynxAI
PharynxAI
PharynxAI is an adaptive, agentic AI platform that continuously learns, evolves, and autonomously optimizes business workflows to enhance productivity, scalability, and transparency. It doesn’t just automate tasks; it adapts in real time to make intelligent decisions and drive outcomes. The platform uses an agentic architecture capable of executing defined tasks and triggering further processes, and supports custom models from open source, Azure, AWS, or bespoke deployments. It offers full privacy and on-premises deployment options to maintain control over enterprise data. Its multi-modal structure enables a single LLM to power chat, voice, and insights interfaces. PharynxAI integrates smoothly with existing workflows (no need to overhaul them) and allows tailor-made output interfaces, such as branded dashboards or humanoid bots. The platform positions itself to streamline operations, scale intelligently, and unlock insight from interactions. -
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Webots
Cyberbotics
Cyberbotics' Webots is an open source, multi-platform desktop application designed for modeling, programming, and simulating robots. It offers a comprehensive development environment that includes a vast asset library with robots, sensors, actuators, objects, and materials, facilitating rapid prototyping and efficient robotics project development. Users can import existing CAD models from tools like Blender or URDF and integrate OpenStreetMap data to create detailed simulations. Webots supports programming in multiple languages, including C, C++, Python, Java, MATLAB, and ROS, providing flexibility for diverse development needs. Its modern GUI, combined with a physics engine and OpenGL rendering, enables realistic simulation of various robotic systems, such as wheeled robots, industrial arms, legged robots, drones, and autonomous vehicles. The platform is widely utilized in industry, education, and research for tasks like robot prototyping, and AI algorithm development.Starting Price: Free -
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Phi-4
Microsoft
Phi-4 is a 14B parameter state-of-the-art small language model (SLM) that excels at complex reasoning in areas such as math, in addition to conventional language processing. Phi-4 is the latest member of our Phi family of small language models and demonstrates what’s possible as we continue to probe the boundaries of SLMs. Phi-4 is currently available on Azure AI Foundry under a Microsoft Research License Agreement (MSRLA) and will be available on Hugging Face. Phi-4 outperforms comparable and larger models on math related reasoning due to advancements throughout the processes, including the use of high-quality synthetic datasets, curation of high-quality organic data, and post-training innovations. Phi-4 continues to push the frontier of size vs quality. -
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Robot Framework
Robot Framework
Robot Framework is a generic open-source automation framework. It can be used for test automation and robotic process automation (RPA). Robot Framework is supported by Robot Framework Foundation. Many industry-leading companies use the tool in their software development. Robot Framework is open and extensible. Robot Framework can be integrated with virtually any other tool to create powerful and flexible automation solutions. Robot Framework is free to use without licensing costs. Robot Framework has an easy syntax, utilizing human-readable keywords. Its capabilities can be extended by libraries implemented with Python, Java or many other programming languages. Robot Framework has a rich ecosystem around it, consisting of libraries and tools that are developed as separate projects.Starting Price: Free -
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InstructGPT
OpenAI
InstructGPT is an open-source framework for training language models to generate natural language instructions from visual input. It uses a generative pre-trained transformer (GPT) model and the state-of-the-art object detector, Mask R-CNN, to detect objects in images and generate natural language sentences that describe the image. InstructGPT is designed to be effective across domains such as robotics, gaming and education; it can assist robots in navigating complex tasks with natural language instructions, or help students learn by providing descriptive explanations of processes or events.Starting Price: $0.0200 per 1000 tokens -
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MAI-1-preview
Microsoft
MAI-1 Preview is Microsoft AI’s first end-to-end trained foundation model, built entirely in-house as a mixture-of-experts architecture. Pre-trained and post-trained on approximately 15,000 NVIDIA H100 GPUs, it is designed to follow instructions and generate helpful, responsive text for everyday user queries, representing a prototype of future Copilot capabilities. Now available for public testing on LMArena, MAI-1 Preview delivers an early glimpse into the platform’s trajectory, with plans to roll out select text-based applications within Copilot over the coming weeks to gather user feedback and refine performance. Microsoft reinforces that it will continue combining its own models, partner models, and developments from the open-source community to flexibly power experiences across millions of unique interactions each day. -
25
Movmi
Movmi
Providing a high qualified tool for human body motion developers, Movmi provides a revolutionary solution for capturing humanoid motion from 2D media Data (Image, Video). Use media shots from any camera, starting from smartphones to professional cameras, through any lifestyle scene. Browses a collection of full-textured characters which are used in every purpose: cartoon, fantasy, and CG projects. Movmi Store Explores Full-Body Character animation of many poses and actions. You can use the animation on Any of Movmi characters. Movmi Store Contains a collection of 3D characters that are free of charge so the Motion Developers have the freedom to use them in their Development. It Explores a library of Full-Body Character animation of many poses and actions.Starting Price: Free -
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SKY ENGINE AI
SKY ENGINE AI
SKY ENGINE AI is a fully managed 3D Generative AI platform that transforms how enterprises build Vision AI by producing high-quality synthetic data at scale. It replaces difficult, expensive real-world data collection with physics-accurate simulation, multispectrum rendering, and automated ground-truth generation. The platform integrates a synthetic data engine, domain adaptation tools, sensor simulators, and deep learning pipelines into a single environment. Teams can test hypotheses, capture rare edge cases, and iterate datasets rapidly using advanced randomization, GAN post-processing, and 3D generative blueprints. With GPU-integrated development tools, distributed rendering, and full cloud resource management, SKY ENGINE AI eliminates workflow complexity and accelerates AI development. The result is faster model training, significantly lower costs, and highly reliable Vision AI across industries. -
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GWM-1
Runway AI
GWM-1 is Runway’s state-of-the-art General World Model designed to simulate the real world in real time. It is an interactive, controllable, and general-purpose model built on top of Runway’s Gen-4.5 architecture. GWM-1 generates high-fidelity video frame by frame while maintaining long-term spatial and behavioral consistency. The model supports action-conditioning through inputs such as camera movement, robot actions, events, and speech. GWM-1 enables realistic visual simulation paired with synchronized video and audio outputs. It is designed to help AI systems experience environments rather than just describe them. GWM-1 represents a major step toward general-purpose simulation beyond language-only models. -
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YData
YData
Adopting data-centric AI has never been easier with automated data quality profiling and synthetic data generation. We help data scientists to unlock data's full potential. YData Fabric empowers users to easily understand and manage data assets, synthetic data for fast data access, and pipelines for iterative and scalable flows. Better data, and more reliable models delivered at scale. Automate data profiling for simple and fast exploratory data analysis. Upload and connect to your datasets through an easily configurable interface. Generate synthetic data that mimics the statistical properties and behavior of the real data. Protect your sensitive data, augment your datasets, and improve the efficiency of your models by replacing real data or enriching it with synthetic data. Refine and improve processes with pipelines, consume the data, clean it, transform your data, and work its quality to boost machine learning models' performance. -
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MotoSim
Yaskawa Motoman
Yaskawa Motoman's MotoSim EG-VRC (Enhanced Graphics Virtual Robot Controller) is a sophisticated offline programming and 3D simulation software tailored for the precise programming of complex robotic systems. It enables users to construct and simulate robotic work cells virtually, eliminating the need for physical robots during the development phase. Key features include optimizing robot and equipment placement, reach modeling, accurate cycle time calculations, automatic path generation, collision detection, system configuration, condition file editing, and Functional Safety Unit (FSU) configuration. The software incorporates a virtual robot controller, providing a programming pendant interface identical to the actual controller, ensuring a seamless transition from simulation to real-world application. Additionally, MotoSim EG-VRC offers access to an extensive model library, allowing users to download a broad range of third-party models to enhance their simulations. -
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Rendered.ai
Rendered.ai
Overcome challenges in acquiring data for machine learning and AI systems training. Rendered.ai is a PaaS designed for data scientists, engineers, and developers. Generate synthetic datasets for ML/AI training and validation. Experiment with sensor models, scene content, and post-processing effects. Characterize and catalog real and synthetic datasets. Download or move data to your own cloud repositories for processing and training. Power innovation and increase productivity with synthetic data as a capability. Build custom pipelines to model diverse sensors and computer vision inputs. Start quickly with free, customizable Python sample code to model SAR, RGB satellite imagery, and more sensor types. Experiment and iterate with flexible licensing that enables nearly unlimited content generation. Create labeled content rapidly in a hosted, high-performance computing environment. Enable collaboration between data scientists and data engineers with a no-code configuration experience. -
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NVIDIA Blueprints
NVIDIA
NVIDIA Blueprints are reference workflows for agentic and generative AI use cases. Enterprises can build and operationalize custom AI applications, creating data-driven AI flywheels, using Blueprints along with NVIDIA AI and Omniverse libraries, SDKs, and microservices. Blueprints also include partner microservices, reference code, customization documentation, and a Helm chart for deployment at scale. With NVIDIA Blueprints, developers benefit from a unified experience across the NVIDIA stack, from cloud and data centers to NVIDIA RTX AI PCs and workstations. Use NVIDIA Blueprints to create AI agents that use sophisticated reasoning and iterative planning to solve complex problems. Check out new NVIDIA Blueprints, which equip millions of enterprise developers with reference workflows for building and deploying generative AI applications. Connect AI applications to enterprise data using industry-leading embedding and reranking models for information retrieval at scale. -
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Bitext
Bitext
Bitext provides multilingual, hybrid synthetic training datasets specifically designed for intent detection and LLM fine‑tuning. These datasets blend large-scale synthetic text generation with expert curation and linguistic annotation, covering lexical, syntactic, semantic, register, and stylistic variation, to enhance conversational models’ understanding, accuracy, and domain adaptation. For example, their open source customer‑support dataset features ~27,000 question–answer pairs (≈3.57 million tokens), 27 intents across 10 categories, 30 entity types, and 12 language‑generation tags, all anonymized to comply with privacy, bias, and anti‑hallucination standards. Bitext also offers vertical-specific datasets (e.g., travel, banking) and supports over 20 industries in multiple languages with more than 95% accuracy. Their hybrid approach ensures scalable, multilingual training data, privacy-compliant, bias-mitigated, and ready for seamless LLM improvement and deployment.Starting Price: Free -
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iClone
Reallusion
iClone is the fastest real-time 3D animation software in the industry, helping you easily produce professional animations for films, previz, animation, video games, content development, education and art. Integrated with the latest real-time technologies, iClone simplifies the world of 3D Animation in a user-friendly production environment that blends character animation, scene design and cinematic storytelling; quickly turning your vision into a reality. Animate any character instantly with intuitive tools for face and body animation. Create facial animations with accurate lip-sync, puppet emotive expressions, muscle-based face key editing, and an unparalleled iPhone facial capture. Create realistic or stylized, animation-ready humanoid 3D characters in a short time. Powerful animation features get scenes moving thanks to ultimate creative control.Starting Price: $599 per license -
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Stable Beluga
Stability AI
Stability AI and its CarperAI lab proudly announce Stable Beluga 1 and its successor Stable Beluga 2 (formerly codenamed FreeWilly), two powerful new, open access, Large Language Models (LLMs). Both models demonstrate exceptional reasoning ability across varied benchmarks. Stable Beluga 1 leverages the original LLaMA 65B foundation model and was carefully fine-tuned with a new synthetically-generated dataset using Supervised Fine-Tune (SFT) in standard Alpaca format. Similarly, Stable Beluga 2 leverages the LLaMA 2 70B foundation model to achieve industry-leading performance.Starting Price: Free -
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Satim
Satim
Satim provides a world-class and unique AI-based software solution for object detection, classification, and identification using Synthetic Aperture Radar (SAR) satellite imagery. Satim has built a highly accurate simulator for generating synthetic SAR signatures. The simulator allows us to simulate a SAR signature of any object and any SAR system. Thanks to the simulator, we can add new object types to train our AI model and to be classified with 90% accuracy within days. Thanks to our proprietary SAR data simulator, the models can be rapidly expanded to detect and classify new objects, ensuring adaptability and flexibility that match the challenges and evolving needs in the military, government, and commercial sectors. We collaborate with the world's top Synthetic Aperture Radar (SAR) sensor providers, bringing together pioneering technology and unparalleled expertise. Our wide network of global partners is laser-focused on advancing the space and defense industry. -
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Evo 2
Arc Institute
Evo 2 is a genomic foundation model capable of generalist prediction and design tasks across DNA, RNA, and proteins. It utilizes a frontier deep learning architecture to model biological sequences at single-nucleotide resolution, achieving near-linear scaling of compute and memory relative to context length. Trained with 40 billion parameters and a 1 megabase context length, Evo 2 processes over 9 trillion nucleotides from diverse eukaryotic and prokaryotic genomes. This extensive training enables Evo 2 to perform zero-shot function prediction across multiple biological modalities, including DNA, RNA, and proteins, and to generate novel sequences with plausible genomic architecture. The model's capabilities have been demonstrated in tasks such as designing functional CRISPR systems and predicting disease-causing mutations in human genes. Evo 2 is publicly accessible via Arc's GitHub repository and is integrated into the NVIDIA BioNeMo framework. -
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Gazebo
Gazebo
Gazebo is an open source robotics simulator that provides high-fidelity physics, rendering, and sensor models for developing and testing robot applications. It supports multiple physics engines, including ODE, Bullet, and Simbody, enabling accurate dynamics simulation. Gazebo offers advanced 3D graphics through rendering engines like OGRE v2, delivering realistic environments with high-quality lighting, shadows, and textures. It includes a wide array of sensors, such as laser range finders, 2D/3D cameras, IMUs, GPS, and more, with the ability to simulate sensor noise. Users can develop custom plugins for robot, sensor, and environment control, and interact with simulations via a plugin-based graphical interface powered by Gazebo GUI. Gazebo provides access to numerous robot models, including PR2, Pioneer2 DX, iRobot Create, and TurtleBot, and allows users to build new models using SDF.Starting Price: Free -
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Hermes 4
Nous Research
Hermes 4 is the latest evolution in Nous Research’s line of neutrally aligned, steerable foundational models, featuring novel hybrid reasoners that can dynamically shift between expressive, creative responses and efficient, standard replies based on user prompts. The model is designed to respond to system and user instructions, rather than adhering to any corporate ethics framework, producing interactions that feel more humanistic, less lecturing or sycophantic, and encouraging roleplay and creativity. By incorporating a special tag in prompts, users can trigger deeper, internally token-intensive reasoning when tackling complex problems, while retaining prompt efficiency when such depth isn't required. Trained on a dataset 50 times larger than that of Hermes 3, much of which was synthetically generated using Atropos, Hermes 4 shows significant performance improvements.Starting Price: Free -
39
OneView
OneView
Working exclusively with real data creates significant challenges for machine learning model training. Synthetic data enables limitless machine learning model training, addressing the drawbacks and challenges of real data. Boost the performance of your geospatial analytics by creating the imagery you need. Customizable satellite, drone, and aerial imagery. Create scenarios, change object ratios, and adjust imaging parameters quickly and iteratively. Any rare objects or occurrences can be created. The resulting datasets are fully-annotated, error-free, and ready for training. The OneView simulation engine creates 3D worlds as the base for synthetic satellite and aerial images, layered with multiple randomization factors, filters, and variation parameters. The synthetic images replace real data for remote sensing systems in machine learning model training. They achieve superior interpretation results, especially in cases with limited coverage or poor-quality data. -
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NVIDIA Picasso
NVIDIA
NVIDIA Picasso is a cloud service for building generative AI–powered visual applications. Enterprises, software creators, and service providers can run inference on their models, train NVIDIA Edify foundation models on proprietary data, or start from pre-trained models to generate image, video, and 3D content from text prompts. Picasso service is fully optimized for GPUs and streamlines training, optimization, and inference on NVIDIA DGX Cloud. Organizations and developers can train NVIDIA’s Edify models on their proprietary data or get started with models pre-trained with our premier partners. Expert denoising network to generate photorealistic 4K images. Temporal layers and novel video denoiser generate high-fidelity videos with temporal consistency. A novel optimization framework for generating 3D objects and meshes with high-quality geometry. Cloud service for building and deploying generative AI-powered image, video, and 3D applications. -
41
Synetic
Synetic
Synetic AI is a platform that accelerates the creation and deployment of real-world computer vision models by automatically generating photorealistic synthetic training datasets with pixel-perfect annotations and no manual labeling required, using advanced physics-based rendering and simulation to eliminate the traditional gap between synthetic and real-world data and achieve superior model performance. Its synthetic data has been independently validated to outperform real-world datasets by an average of 34% in generalization and recall, covering unlimited variations like lighting, weather, camera angles, and edge cases with comprehensive metadata, annotations, and multi-modal sensor support, enabling teams to iterate instantly and train models faster and cheaper than traditional approaches; Synetic AI supports common architectures and export formats, handles edge deployment and monitoring, and can deliver full datasets in about a week and custom trained models in a few weeks. -
42
HunyuanOCR
Tencent
Tencent Hunyuan is a large-scale, multimodal AI model family developed by Tencent that spans text, image, video, and 3D modalities, designed for general-purpose AI tasks like content generation, visual reasoning, and business automation. Its model lineup includes variants optimized for natural language understanding, multimodal vision-language comprehension (e.g., image & video understanding), text-to-image creation, video generation, and 3D content generation. Hunyuan models leverage a mixture-of-experts architecture and other innovations (like hybrid “mamba-transformer” designs) to deliver strong performance on reasoning, long-context understanding, cross-modal tasks, and efficient inference. For example, the vision-language model Hunyuan-Vision-1.5 supports “thinking-on-image”, enabling deep multimodal understanding and reasoning on images, video frames, diagrams, or spatial data. -
43
Mimic
Facteus
Advanced technology and services to safely transform and enhance sensitive data into actionable insights, help drive innovation, and open new revenue streams. Using the Mimic synthetic data engine, companies can safely synthesize their data assets, protecting consumer privacy information from being exposed, while still maintaining the statistical relevancy of the data. The synthetic data can then be used for internal initiatives like analytics, machine learning and AI, marketing and segmentation activities, and new revenue streams through external data monetization. Mimic enables you to safely move statistically-relevant synthetic data to the cloud ecosystem of your choice to get the most out of your data. Analytics, insights, product development, testing, and third-party data sharing can all be done in the cloud with the enhanced synthetic data, which has been certified to be compliant with regulatory and privacy laws. -
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DataCebo Synthetic Data Vault (SDV)
DataCebo
The Synthetic Data Vault (SDV) is a Python library designed to be your one-stop shop for creating tabular synthetic data. The SDV uses a variety of machine learning algorithms to learn patterns from your real data and emulate them in synthetic data. The SDV offers multiple models, ranging from classical statistical methods (GaussianCopula) to deep learning methods (CTGAN). Generate data for single tables, multiple connected tables, or sequential tables. Compare the synthetic data to the real data against a variety of measures. Diagnose problems and generate a quality report to get more insights. Control data processing to improve the quality of synthetic data, choose from different types of anonymization, and define business rules in the form of logical constraints. Use synthetic data in place of real data for added protection, or use it in addition to your real data as an enhancement. The SDV is an overall ecosystem for synthetic data models, benchmarks, and metrics.Starting Price: Free -
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HAL Robotics
HAL Robotics
HAL Robotics offers a versatile robot programming and simulation software platform designed to automate complex, variable tasks across diverse industries. Their flagship product, DECODE, is a no-code human-robot collaboration software that enables users without robotics or programming expertise to flexibly automate new and variable tasks. DECODE facilitates the creation of digital twins for robot cells, allowing for simulation and validation of machine behavior through an intuitive drag-and-drop interface. It supports over 1,000 robot presets and more than 40 CAD formats, streamlining the process of building accurate virtual models. The platform provides customizable toolpath generators, enabling quick and easy programming of robots by combining robot actions with a library of parametric toolpath generators. This approach ensures error-free robot tasks by utilizing native robot functions. -
46
Dymola
Dassault Systèmes
Dymola, dynamic modeling laboratory, is a complete tool for modeling and simulation of integrated and complex systems for use within automotive, aerospace, robotics, process and other applications. Rapidly solve complex multi-disciplinary systems modeling and analysis problems, using Dymola's best-in-class Modelica and simulation technology. Dymola is a complete environment for model creation, testing, simulation and post-processing. Dymola, Dynamic Modeling Laboratory, is a complete tool for modeling and simulation of integrated and complex systems for use within automotive, aerospace, robotics, process and other applications. Developed by domain specialists, these libraries are used in conjunction with Dymola or 3DEXPERIENCE Dymola Behavior Modeling to quickly and easily model and simulate the behavior of complex systems that span multiple engineering disciplines. FMI allows any modeling tool to generate C code or binaries representing a dynamic system model. -
47
ROBOGUIDE
FANUC
FANUC's ROBOGUIDE is a leading offline programming and simulation software for FANUC robots, enabling users to create, program, and simulate robotic work cells in a 3D environment without the need for physical prototypes. This software family includes process-focused packages such as HandlingPRO, PaintPRO, PalletPRO, and WeldPRO, each tailored to specific applications like material handling, painting, palletizing, and welding. By utilizing virtual robots and work cell models, ROBOGUIDE minimizes risks and costs by allowing visualization and optimization of single and multi-robot work cell layouts before actual installation. This approach facilitates accurate cycle time calculations, reachability checks, and collision detection, ensuring the feasibility and efficiency of robot programs and cell layouts. Additionally, ROBOGUIDE supports CAD-to-path programming, conveyor line tracking, and machine modeling, enhancing the precision and flexibility of robotic operations. -
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Safurai
Safurai
Safurai is an AI-based IDE extension designed to assist developers by speeding up coding, debugging, refactoring, documentation and many more tasks. It acts as a virtual assistant, providing solutions and suggestions for any issues that may arise during the software development process. With Safurai, developers can improve their workflow and code quality, making the development process more efficient and streamlined. Safurai AI is made up of a set of non-proprietary Large Language Models optimized for programming and performing all the functions. The models we use are trained with synthetic data only, we do not retain or reuse user codebase data for model improvement purposes. For Safurai, "Transparency" is not only a vogue word. We care a lot about transparency.Starting Price: $0 -
49
MoveIt Pro
PickNik Robotics
Develop advanced robotics applications with production-ready AI. MoveIt Pro is an open platform designed to expedite the development of advanced robotic manipulation applications. MoveIt Pro offers features such as real-time object recognition, dynamic path planning, and force-compliant controllers, enabling robots to adapt to unexpected obstacles and handle objects of varying sizes and weights. The platform is hardware-agnostic, supporting a wide array of robot brands and types, which allows for flexible integration with existing systems. PickNik's expertise extends across various industries, including construction, oil and gas, agriculture, and space exploration, providing tailored solutions that reduce R&D costs and accelerate time-to-market. Their collaborative approach involves co-developing with clients' engineering teams to deliver groundbreaking robotic arm applications.Starting Price: $19,800 per year -
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ENCY Robot
ENCY Software
ENCY Robot is a complete offline programming (CAD/CAM/OLP) solution for industrial robots. It offers precision toolpath calculation, digital twin creation, and advanced kinematic management for a wide variety of robotic processes, including milling, welding, painting, additive manufacturing, and pick-and-place operations. Highlight: - A true all-in-one package: design, technology setup, toolpath calculation and simulation - Support for robots with any kinematics - Robot kinematics optimization for singularity avoidance and collision free movements - Zero-code digital twin builder for robotic cells - Pre-defined postprocessors and high-quality 3D models of robots from top brands With ENCY Robot, users can safely and effectively design, simulate, and refine robotic operations, maximizing productivity and reducing manual intervention in complex production environments.
