# Best Edge AI Platforms Software - Page 2 *By [Adam Crivello](https://research.g2.com/insights/author/adam-crivello)* Edge AI platforms facilitate the deployment and management of artificial intelligence (AI) and machine learning (ML) models directly on edge devices. These devices—which include IoT sensors, mobile phones, embedded systems, and other hardware at the network's edge—process data locally without sending it to centralized cloud servers. Edge AI platforms provide tools and frameworks for developing AI models optimized for edge computing, deploying these models onto devices, and monitoring their performance in real time. Companies use these technologies to reduce latency, enhance data privacy, and enable real-time decision-making by processing data where it is generated. By performing AI computations on the edge, organizations can minimize bandwidth usage, reduce dependence on network connectivity, and improve the responsiveness of applications. This is particularly crucial in industries like manufacturing, healthcare, autonomous vehicles, and retail, where immediate insights and actions are essential. There is some overlap between edge AI platforms and [data science and machine learning platforms](https://www.g2.com/categories/data-science-and-machine-learning-platforms), but edge AI platforms specifically focus on running AI workloads on edge devices rather than in centralized data centers. Edge AI platforms empower devices to operate independently, providing immediate insights without the delays associated with cloud communication. To qualify for inclusion in the Edge AI Platforms category, a product must: - Provide tools or frameworks for developing or deploying AI and ML models specifically optimized for edge devices - Support the execution of AI algorithms or models directly on edge devices without reliance on constant cloud connectivity - Offer management and monitoring capabilities for AI workloads on edge devices, including model updates, performance tracking, and scalability across multiple devices ## How Many Edge AI Platforms Software Products Does G2 Track? **Total Products under this Category:** 34 ## How Does G2 Rank Edge AI Platforms Software Products? **Why You Can Trust G2's Software Rankings:** - 30 Analysts and Data Experts - 400+ Authentic Reviews - 34+ Products - Unbiased Rankings G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category. ## Which Edge AI Platforms Software Is Best for Your Use Case? - **Best Free Software:** [ONE AI](https://www.g2.com/products/one-ware-gmbh-one-ai/reviews) ## What Are the Top-Rated Edge AI Platforms Software Products in 2026? ### 1. [KubeEdge](https://www.g2.com/products/kubeedge/reviews) KubeEdge is an open source system for extending native containerized application orchestration capabilities to hosts at Edge. It is built upon kubernetes and provides fundamental infrastructure support for network, application deployment and metadata synchronization between cloud and edge. **Who Is the Company Behind KubeEdge?** - **Seller:** [KubeEdge Project Authors](https://www.g2.com/sellers/kubeedge-project-authors) - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/kubeedge/ (1 employees on LinkedIn®) ### 2. [OctaiPipe](https://www.g2.com/products/octaipipe/reviews) OctaiPipe is an advanced platform designed to deploy secure and resilient federated edge AI solutions for critical IoT infrastructures. By embedding AI capabilities directly onto devices, OctaiPipe reduces latency, enhances real-time decision-making, and minimizes reliance on cloud connectivity. Its core technology, federated learning, ensures data privacy by keeping data on-device, thereby reducing vulnerability to external threats. This approach not only optimizes asset health and performance but also significantly lowers operational costs, making it ideal for industries such as energy, manufacturing, and smart cities. **Who Is the Company Behind OctaiPipe?** - **Seller:** [OctaiPipe](https://www.g2.com/sellers/octaipipe) - **Year Founded:** 2016 - **HQ Location:** London, GB - **LinkedIn® Page:** https://www.linkedin.com/company/octaipipe (29 employees on LinkedIn®) ### 3. [Open Horizon](https://www.g2.com/products/open-horizon/reviews) LF Edge is an umbrella organization that establishes an open, interoperable framework for edge computing independent of hardware, silicon, cloud, or operating system. **Who Is the Company Behind Open Horizon?** - **Seller:** [The Linux Foundation](https://www.g2.com/sellers/the-linux-foundation) - **Year Founded:** 2015 - **HQ Location:** San Francisco, CA - **Twitter:** @hyperledger (294 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/10851358/ (92 employees on LinkedIn®) ### 4. [Particle](https://www.g2.com/products/particle/reviews) Particle is the leading edge-to-cloud infrastructure for the Internet of Things, helping thousands of companies power world-class connected machines, sensors, and devices. Particle provides everything you need to build an IoT product in one tightly-integrated platform, so you can focus your time and energy on what matters: your product, application, data, and customers. Hundreds of manufacturers, thousands of startups, and 260,000 developers use Particle to power their IoT products; to learn more, visit particle.io. **Average Rating:** 4.5/5.0 **Total Reviews:** 180 **Who Is the Company Behind Particle?** - **Seller:** [Particle](https://www.g2.com/sellers/particle) - **Year Founded:** 2012 - **HQ Location:** San Francisco, CA - **Twitter:** @particle (21,970 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/2922700/ (113 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Student, CEO - **Top Industries:** Information Technology and Services, Higher Education - **Company Size:** 77% Small-Business, 16% Mid-Market ### 5. [REBEL-Quad](https://www.g2.com/products/rebel-quad/reviews) REBEL-Quad is a high-performance AI accelerator designed to meet the demands of hyperscale workloads. Utilizing advanced HBM3e chiplet-based architecture, it delivers exceptional energy efficiency and computational power, making it ideal for large-scale AI systems. By integrating four dies onto a single IC chip through state-of-the-art chiplet packaging, REBEL-Quad offers scalable solutions from single-card deployments to multi-rack configurations, effectively supporting multi-modal models and enhancing the sustainability of AI data centers. REBEL-Quad addresses the critical need for efficient and scalable AI acceleration in hyperscale environments. By delivering top-tier performance with reduced energy consumption, it enables organizations to deploy state-of-the-art AI services more cost-effectively. Its scalable design ensures adaptability to evolving AI workloads, providing businesses with a competitive edge in the rapidly advancing AI landscape. **Who Is the Company Behind REBEL-Quad?** - **Seller:** [Rebellions](https://www.g2.com/sellers/rebellions) - **Year Founded:** 2020 - **HQ Location:** Seoul, KR - **LinkedIn® Page:** https://www.linkedin.com/company/rebellions-ai (186 employees on LinkedIn®) ### 6. [TAPPAS](https://www.g2.com/products/tappas/reviews) TAPPAS is Hailo's comprehensive software package designed to streamline the development and deployment of AI applications on edge devices. It offers a suite of fully functional application examples that integrate pipeline elements with pre-trained AI tasks, facilitating rapid prototyping and reducing time-to-market for developers. **Who Is the Company Behind TAPPAS?** - **Seller:** [Hailo](https://www.g2.com/sellers/hailo) - **Year Founded:** 2017 - **HQ Location:** Tel Aviv-Yafo, Tel Aviv District, Israel - **LinkedIn® Page:** https://www.linkedin.com/company/hailo-ai (298 employees on LinkedIn®) ### 7. [Tokyo Artisan Intelligence](https://www.g2.com/products/tokyo-artisan-intelligence/reviews) Tokyo Artisan Intelligence (TAI) is a Japan-based startup established in 2020 that focuses on AI, deep learning, edge technology, FPGA, embedded computing, custom chip, and edge AI. The company's mission is to address societal issues such as labor shortage, technology succession, safety, and security in an aging society with a declining birthrate using advanced ICT technology. **Who Is the Company Behind Tokyo Artisan Intelligence?** - **Seller:** [Tokyo Artisan Intelligence](https://www.g2.com/sellers/tokyo-artisan-intelligence) - **Year Founded:** 2020 - **HQ Location:** Yokohama, JP - **LinkedIn® Page:** https://www.linkedin.com/company/tokyo-artisan-intelligence-co-ltd/ (7 employees on LinkedIn®) ### 8. [uTensor](https://www.g2.com/products/utensor/reviews) uTensor is a free and open source embedded machine learning infrastructure designed for rapid-prototyping and deployment. **Who Is the Company Behind uTensor?** - **Seller:** [uTensor](https://www.g2.com/sellers/utensor) - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®) ### 9. [Xentara](https://www.g2.com/products/xentara/reviews) AI, cloud, and data technologies have evolved rapidly. In contrast, traditional control systems remain rigid and incompatible. Legacy systems often involve complex hardware and wiring and rely on old control technology. Modern manufacturers need a way to bridge legacy and emerging technologies to overcome the limitations of traditional systems and enable next-level productivity, quality, and sustainability. embedded ocean was established to fill this critical gap between modern digital technologies and traditional industrial technologies to unlock the potential of software-defined control. Xentara is a modern edge platform for industrial control - designed to meet the demands of real-time automation at the edge, empowering software-defined control systems. It offers both event-driven and cyclic processes - ensuring real-time responsiveness while maintaining scheduled efficiency designed for ultra-high precision (up to 100kHz) - tailored for the most demanding applications. Xentara functions as a bridge between OT (Operational Technology) and IT (Information Technology) - enabling seamless integration across domains, boosting interoperability & semantic abstraction - unlocking smarter, more connected, modular, and efficient industrial systems. **Who Is the Company Behind Xentara?** - **Seller:** [embedded ocean](https://www.g2.com/sellers/embedded-ocean) - **Year Founded:** 2020 - **HQ Location:** München, DE - **LinkedIn® Page:** https://www.linkedin.com/company/xentara (21 employees on LinkedIn®) ## What Is Edge AI Platforms Software? [IoT Management Platforms](https://www.g2.com/categories/iot-management)