# Best Edge AI Platforms Software *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 ## Category Overview **Total Products under this Category:** 34 ## Trust & Credibility Stats **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. ## Best Edge AI Platforms Software At A Glance - **Best Free Software:** [ONE AI](https://www.g2.com/products/one-ware-gmbh-one-ai/reviews) ## Top-Rated Products (Ranked by G2 Score) ### 1. [Gridlight](https://www.g2.com/products/gridlight/reviews) Regulated enterprises are effectively shut out of cloud AI. Requirements like HIPAA, PCI DSS, CMMC, and FedRAMP prevent sensitive data from leaving their environments - blocking adoption across healthcare, finance, and government. Gridlight changes that with a fully self-hosted AI platform that runs entirely on your infrastructure. Your data stays put. No exceptions. No cloud required. A curated marketplace of purpose-built AI applications lets teams deploy, manage, and scale workloads on their own hardware - with enterprise-grade security, auditability, and control built in. **Average Rating:** 5.0/5.0 **Total Reviews:** 2 **Seller Details:** - **Seller:** [Gridlight](https://www.g2.com/sellers/gridlight) - **Year Founded:** 2025 - **HQ Location:** Fort Worth, US - **LinkedIn® Page:** https://www.linkedin.com/company/gridlightai/ (4 employees on LinkedIn®) **Reviewer Demographics:** - **Company Size:** 100% Small-Business ### 2. [ONE AI](https://www.g2.com/products/one-ware-gmbh-one-ai/reviews) ONE AI solves a common problem for AI developers: standard AI models often do not reach the required speed or accuracy for real-world edge and vision applications. As a result, developers spend significant time manually tuning models, architectures, and optimizations to achieve acceptable performance. ONE AI automates this process. The platform automatically finds and adapts the right AI model and configuration for a given task, delivering higher accuracy and faster inference without manual trial-and-error. By continuously optimizing models and learning from real data, ONE AI produces reliable, high-performance edge and vision AI while requiring significantly less training data than traditional approaches. ONE AI enables developers to focus on building products instead of manually engineering and optimizing AI models, making it a powerful Edge Impulse alternative for teams that need better performance with less effort. **Average Rating:** 4.8/5.0 **Total Reviews:** 2 **Seller Details:** - **Seller:** [One Ware](https://www.g2.com/sellers/one-ware) - **Year Founded:** 2024 - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/one-ware/ (11 employees on LinkedIn®) **Reviewer Demographics:** - **Company Size:** 100% Small-Business ### 3. [PolarGrid](https://www.g2.com/products/polargrid/reviews) PolarGrid’s edge computing solutions are purpose-built for real-time AI applications. By leveraging NVIDIA’s suite of GPUs and a distributed, low-latency network, we deliver scalable, high-performance compute power that allows real-time inference to thrive. **Average Rating:** 4.8/5.0 **Total Reviews:** 2 **Seller Details:** - **Seller:** [PolarGrid](https://www.g2.com/sellers/polargrid) - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/polargrid/ (4 employees on LinkedIn®) **Reviewer Demographics:** - **Company Size:** 50% Small-Business ### 4. [Runyard](https://www.g2.com/products/runyard/reviews) Runyard helps you discover AI models that fit your machine. It detects your CPU, GPU, and memory, then recommends models that will run on your hardware or through providers. Browse the Model Radar to compare options, check requirements, and copy ready-to-run commands. Use Anchor API to call multiple model providers from a single port, and build and launch in AI Yard with guides and tooling. **Average Rating:** 5.0/5.0 **Total Reviews:** 2 **Seller Details:** - **Seller:** [Runyard](https://www.g2.com/sellers/runyard) - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®) **Reviewer Demographics:** - **Company Size:** 100% Small-Business ### 5. [Edge Impulse](https://www.g2.com/products/edge-impulse/reviews) Edge Impulse is an end-to-end platform for edge AI application development. We enable developers to use their own sensor, audio and vision data to train AI models for classification, regression and anomaly detection. Our platform is hardware-aware and developers can build models that scale from MCUs to NPUs. We support MLOps from start to finish - from initial data collection to monitoring the model in the field. **Average Rating:** 4.5/5.0 **Total Reviews:** 11 **Seller Details:** - **Seller:** [Qualcomm](https://www.g2.com/sellers/qualcomm) - **Year Founded:** 1985 - **HQ Location:** San Diego, CA - **Twitter:** @Qualcomm (441,315 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/qualcomm/ (54,637 employees on LinkedIn®) - **Ownership:** NASDAQ:QCOM **Reviewer Demographics:** - **Company Size:** 64% Small-Business, 36% Enterprise #### Pros & Cons **Pros:** - Capabilities (2 reviews) - Ease of Use (2 reviews) - Features (1 reviews) - Flexibility (1 reviews) - Machine Learning (1 reviews) **Cons:** - Lack of Guidance (1 reviews) - Lack of Tools (1 reviews) - Limited Customization (1 reviews) - Missing Features (1 reviews) - Model Limitations (1 reviews) ### 6. [Ultralytics](https://www.g2.com/products/ultralytics/reviews) Ultralytics is a prominent player in the field of vision AI, specializing in advanced computer vision solutions through its innovative YOLO (You Only Look Once) models. Designed to assist users in various industries, Ultralytics' technology enables real-time object detection and image analysis, making it an essential tool for businesses looking to leverage artificial intelligence for enhanced operational efficiency and decision-making. Targeted at a diverse audience that includes professionals in manufacturing, healthcare, transportation, agriculture, and retail, Ultralytics' offerings cater to organizations seeking to implement AI-driven solutions. The versatility of the YOLO models allows users to address a wide range of use cases, from automating quality control in manufacturing to improving patient outcomes in healthcare settings. By providing accessible and efficient AI tools, Ultralytics empowers businesses to harness the power of computer vision, ultimately driving innovation and growth. Key features of Ultralytics' technology include its remarkable speed and accuracy in image processing, which allows for the analysis of 1.6 billion images daily. This capability is complemented by the ability to train 5 million models per day, ensuring that users have access to the most up-to-date and effective AI tools. The YOLO models are designed to be user-friendly, enabling users with varying levels of technical expertise to implement and benefit from the technology without extensive training or resources. The unique selling points of Ultralytics lie in its commitment to AI accessibility and efficiency. By providing open-source solutions with extensive community support, the company fosters collaboration and innovation within the AI space. The impressive track record of over 110,000 GitHub stars and more than 100 million downloads highlights the widespread adoption and trust in Ultralytics' models. As industries continue to evolve and embrace digital transformation, Ultralytics remains at the forefront, offering cutting-edge solutions that meet the demands of a rapidly changing technological landscape. **Average Rating:** 5.0/5.0 **Total Reviews:** 2 **Seller Details:** - **Seller:** [Ultralytics](https://www.g2.com/sellers/ultralytics) - **Company Website:** https://ultralytics.com - **Year Founded:** 2022 - **HQ Location:** 5001 Judicial Way Frederick, MD 21703, USA - **Twitter:** @ultralytics (8,197 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/ultralytics (37 employees on LinkedIn®) **Reviewer Demographics:** - **Company Size:** 100% Mid-Market #### Pros & Cons **Pros:** - Deployment Ease (2 reviews) - Ease of Use (2 reviews) - Efficiency (2 reviews) - AI Technology (1 reviews) - Automation (1 reviews) **Cons:** - Poor Documentation (2 reviews) - AI Limitations (1 reviews) - Confusing Documentation (1 reviews) - Deployment Issues (1 reviews) - Insufficient Learning Resources (1 reviews) ### 7. [Userful Infinity Platform](https://www.g2.com/products/userful-infinity-platform/reviews) Userful delivers a unifying platform for operational awareness and response. Userful InfinityAI enables anomaly and critical event detection, visualization, communication, and experience into a human-centric workflow. Operating at the convergence of mission-critical control rooms, observability and security, critical event management, and workplace experience, Userful enables organizations to move from fragmented signals to shared strategic situational awareness with effective response. As enterprises grow, Userful's Infinity Platform expands in scale, scope, reach, and intelligence—supporting global operations with software-defined visualization, enterprise workflows, and AI-enabled application that bring clarity to complexity. **Average Rating:** 4.4/5.0 **Total Reviews:** 154 **Seller Details:** - **Seller:** [Userful Corp.](https://www.g2.com/sellers/userful-corp) - **Year Founded:** 2015 - **HQ Location:** San Ramon, CA - **Twitter:** @Userful (1,875 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/61458/ (94 employees on LinkedIn®) **Reviewer Demographics:** - **Top Industries:** Information Technology and Services, Libraries - **Company Size:** 49% Mid-Market, 32% Small-Business #### Pros & Cons **Pros:** - Ease of Use (34 reviews) - Reliability (16 reviews) - Features (14 reviews) - User Interface (11 reviews) - Efficiency (10 reviews) **Cons:** - Complexity (6 reviews) - Expensive (6 reviews) - Hardware Limitations (6 reviews) - Learning Curve (5 reviews) - Rebooting Issues (5 reviews) ### 8. [AIoT Platform](https://www.g2.com/products/aiot-platform/reviews) Terminus Group's AIoT Platform is a comprehensive solution designed to integrate Artificial Intelligence (AI) and the Internet of Things (IoT) to enhance urban management and operational efficiency. This platform offers specialized applications tailored for various sectors, including smart firefighting, smart building management, and smart community services. **Seller Details:** - **Seller:** [Terminus Technologies](https://www.g2.com/sellers/terminus-technologies) - **Year Founded:** 2009 - **HQ Location:** Hamilton, NZ - **LinkedIn® Page:** https://www.linkedin.com/company/terminus-technologies (28 employees on LinkedIn®) ### 9. [ATOM™-Lite](https://www.g2.com/products/atom-lite/reviews) ATOM™-Lite is a compact and energy-efficient AI accelerator designed for edge inference applications. Operating in a Half Height Half Length (HHHL) form factor, it seamlessly integrates into workstations, edge devices, and laboratory environments. Despite its small size, ATOM™-Lite delivers impressive performance, achieving 32 TFLOPS (FP16) and up to 256 TOPS (INT4), all while consuming a maximum of 65W. This makes it an ideal solution for scenarios where space and power efficiency are critical. **Seller Details:** - **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®) ### 10. [Awiros](https://www.g2.com/products/awiros/reviews) Awiros is an enterprise Video AI platform that enables organizations to develop, deploy, and manage computer vision applications for large-scale automation across industries. Founded in 2015 by Vikram Gupta, whose research began at Carnegie Mellon University, Awiros has grown into a Series A-funded company trusted by Fortune 500 enterprises worldwide. Awiros operates in the computer vision and artificial intelligence software category, serving sectors such as manufacturing, airports and aviation, warehousing and logistics, oil and gas, and critical infrastructure. The platform processes over 2,000 hours of video every minute and supports deployments with 10,000+ cameras, making it suitable for mission-critical use cases. Key features and value propositions: 1. AppStack Marketplace: Access to 120+ ready-to-use Video AI apps for safety, security, SOP monitoring, and quality inspections. 2. Scalable Architecture: Seamlessly add locations, apps, and video/data sources as your needs grow. 3. Proven Enterprise Deployments: Trusted by 50+ major clients, including GMR, Pratt & Whitney, and Mercedes, with some of the world’s largest video analytics projects. 4. Rapid Development: Enables up to 90% faster solution development compared to building from scratch or using generic libraries. 5. Future-Proof Middleware: Acts as a middleware layer, ensuring adaptability to evolving AI technologies and hardware. Awiros empowers organizations to streamline video analytics, improve operational efficiency, and stay ahead in the rapidly evolving field of computer vision. **Seller Details:** - **Seller:** [Awiros](https://www.g2.com/sellers/awiros) - **Year Founded:** 2015 - **HQ Location:** Gurgaon, IN - **LinkedIn® Page:** https://www.linkedin.com/company/awiros/ (111 employees on LinkedIn®) ### 11. [AWS Greengrass](https://www.g2.com/products/aws-greengrass/reviews) AWS Greengrass is software that lets you run local compute, messaging, data caching, sync, and ML inference capabilities for connected devices in a secure way. With AWS Greengrass, connected devices can run AWS Lambda functions, keep device data in sync, and communicate with other devices securely – even when not connected to the Internet. Using AWS Lambda, Greengrass ensures your IoT devices can respond quickly to local events, use Lambda functions running on Greengrass Core to interact with local resources, operate with intermittent connections, stay updated with over the air updates, and minimize the cost of transmitting IoT data to the cloud. ML Inference is a feature of AWS Greengrass that makes it easy to perform machine learning inference locally on Greengrass Core devices using models that are built and trained in the cloud. AWS Greengrass seamlessly extends AWS to devices so they can act locally on the data they generate, while still using the cloud for management, analytics, and durable storage. With Greengrass, you can use familiar languages and programming models to create and test your device software in the cloud, and then deploy it to your devices. AWS Greengrass can be programmed to filter device data and only transmit necessary information back to the cloud. AWS Greengrass authenticates and encrypts device data at all points of connection using the security and access management capabilities of AWS IoT Core. This way, data is never exchanged between devices when they communicate with each other and the cloud, without proven identity. **Average Rating:** 4.1/5.0 **Total Reviews:** 19 **Seller Details:** - **Seller:** [Amazon Web Services (AWS)](https://www.g2.com/sellers/amazon-web-services-aws-3e93cc28-2e9b-4961-b258-c6ce0feec7dd) - **Year Founded:** 2006 - **HQ Location:** Seattle, WA - **Twitter:** @awscloud (2,225,864 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/amazon-web-services/ (156,424 employees on LinkedIn®) - **Ownership:** NASDAQ: AMZN **Reviewer Demographics:** - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 38% Small-Business, 33% Enterprise ### 12. [Azure IoT Edge](https://www.g2.com/products/azure-iot-edge/reviews) Azure IoT Edge is a fully managed service that delivers cloud intelligence locally and makes hybrid cloud and Internet of Things (IoT) solutions a reality. **Average Rating:** 4.1/5.0 **Total Reviews:** 11 **Seller Details:** - **Seller:** [Microsoft](https://www.g2.com/sellers/microsoft) - **Year Founded:** 1975 - **HQ Location:** Redmond, Washington - **Twitter:** @microsoft (13,114,353 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/microsoft/ (227,697 employees on LinkedIn®) - **Ownership:** MSFT **Reviewer Demographics:** - **Company Size:** 50% Small-Business, 33% Enterprise ### 13. [balena](https://www.g2.com/products/balena/reviews) Balena is a complete set of tools for building, deploying, and managing fleets of connected Linux devices. **Average Rating:** 4.8/5.0 **Total Reviews:** 4 **Seller Details:** - **Seller:** [balena](https://www.g2.com/sellers/balena) - **Year Founded:** 2013 - **HQ Location:** London, GB - **Twitter:** @balena_io (5,998 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/5000762/ (73 employees on LinkedIn®) **Reviewer Demographics:** - **Company Size:** 50% Mid-Market, 25% Enterprise ### 14. [Dataflow Complier](https://www.g2.com/products/dataflow-complier/reviews) The Hailo Dataflow Compiler (DFC) is a pivotal component of the Hailo AI Software Suite, designed to facilitate the seamless deployment of deep learning models onto Hailo's AI processors. It streamlines the process of translating high-level neural network models into optimized, hardware-compatible representations, ensuring efficient execution on Hailo's hardware platforms. **Seller Details:** - **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®) ### 15. [DEEPX](https://www.g2.com/products/deepx/reviews) DEEPX offers a comprehensive suite of AI chips designed to deliver exceptional performance and efficiency across a wide range of applications. Their product lineup includes the DX-M1, DX-M1M, DX-V3, and DX-M2, each tailored to meet specific AI processing needs. **Seller Details:** - **Seller:** [DEEPX](https://www.g2.com/sellers/deepx) - **Year Founded:** 2018 - **HQ Location:** Seongnam-si, KR - **LinkedIn® Page:** https://www.linkedin.com/company/deepx-corp (93 employees on LinkedIn®) ### 16. [Edge Computing](https://www.g2.com/products/edge-computing/reviews) Terminus Group's Edge Computing solutions are designed to enhance the performance and efficiency of smart city infrastructures by processing data closer to its source. This approach reduces latency, conserves bandwidth, and enables real-time decision-making, which is crucial for applications in urban management, industrial automation, and environmental monitoring. **Seller Details:** - **Seller:** [Terminus Technologies](https://www.g2.com/sellers/terminus-technologies) - **Year Founded:** 2009 - **HQ Location:** Hamilton, NZ - **LinkedIn® Page:** https://www.linkedin.com/company/terminus-technologies (28 employees on LinkedIn®) ### 17. [EdgeRunner AI](https://www.g2.com/products/edgerunner-ai/reviews) EdgeRunner AI offers an air-gapped, personalized AI assistant designed to enhance productivity, decision-making, and operational efficiency across various industries. Operating entirely offline, EdgeRunner ensures the highest levels of data privacy and security by running locally on devices without requiring internet connectivity. Powered by EdgeRunner's proprietary language models, it delivers a ChatGPT-like experience, providing users with a robust and secure AI solution. **Seller Details:** - **Seller:** [EdgeRunner AI](https://www.g2.com/sellers/edgerunner-ai) - **Year Founded:** 2024 - **HQ Location:** Seattle, US - **LinkedIn® Page:** https://www.linkedin.com/company/edgerunner-ai (23 employees on LinkedIn®) ### 18. [Fovea EDGE](https://www.g2.com/products/fovea-edge/reviews) Fovea EDGE is an advanced Edge AI solution designed to automate complex visual inspection tasks in industrial settings, delivering real-time, high-precision defect detection directly on the shop floor. By integrating artificial intelligence at the edge, Fovea EDGE enhances manufacturing processes across various industries, including automotive, pharmaceuticals, aerospace, food and beverages, and electronics. **Seller Details:** - **Seller:** [Myelin Foundry](https://www.g2.com/sellers/myelin-foundry) - **Year Founded:** 2019 - **HQ Location:** Bangalore, IN - **LinkedIn® Page:** https://www.linkedin.com/company/myelin-foundry (44 employees on LinkedIn®) ### 19. [Google AI Edge](https://www.g2.com/products/google-ai-edge/reviews) Google AI Edge Deploy AI across mobile, web, and embedded applications **Seller Details:** - **Seller:** [Google](https://www.g2.com/sellers/google) - **Year Founded:** 1998 - **HQ Location:** Mountain View, CA - **Twitter:** @google (31,910,461 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/1441/ (336,169 employees on LinkedIn®) - **Ownership:** NASDAQ:GOOG ### 20. [Gravio Edge IoT Platform](https://www.g2.com/products/gravio-edge-iot-platform/reviews) A Node Computing platform that combines the best of Cloud Computing and Edge Computing! Experience the future of technology as we empower you to develop cutting-edge solutions without any coding expertise. Unlock the full potential of your projects with Gravio's unique selling propositions (USPs): 1. Seamless integration with #ComputerVision engines. Now, you can effortlessly deploy your own TensorFlow models at the edge, revolutionizing the way you interact with the world. 2. Easy-to-use interface that does not require any software development skills. You can, however, deploy your own custom scripts. Discover a growing selection of modules, IoT sensors and adapters, meticulously designed to facilitate smooth software and hardware integration. Our solutions cater to companies of all sizes, spanning across diverse industries. **Average Rating:** 4.7/5.0 **Total Reviews:** 16 **Seller Details:** - **Seller:** [Asteria](https://www.g2.com/sellers/asteria) - **Year Founded:** 1998 - **HQ Location:** Shibuya, JP - **Twitter:** @Asteria_corp (3,114 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/asteria-corporation/ (70 employees on LinkedIn®) - **Ownership:** TYO: 3853 **Reviewer Demographics:** - **Company Size:** 88% Small-Business, 6% Enterprise ### 21. [Hailo-10H M.2 Generative AI Acceleration Module](https://www.g2.com/products/hailo-10h-m-2-generative-ai-acceleration-module/reviews) The Hailo-10H M.2 Generative AI Acceleration Module is a compact, high-performance AI accelerator designed to seamlessly integrate into existing PCs and edge devices via an M.2 interface. It enables real-time execution of deep neural network inferencing while maintaining low power consumption, making it suitable for a wide array of applications across various market segments. **Seller Details:** - **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®) ### 22. [Hailo-8L M.2 Entry-Level Acceleration Module](https://www.g2.com/products/hailo-8l-m-2-entry-level-acceleration-module/reviews) The Hailo-8L M.2 Entry-Level Acceleration Module is an AI accelerator designed to enhance edge devices with efficient, real-time deep learning capabilities. Powered by the Hailo-8L AI processor, it delivers up to 13 tera-operations per second (TOPS) while maintaining high power and cost efficiency. Compatible with M.2 form factors Key B+M and Key A+E, this module integrates seamlessly into existing edge devices, enabling low-latency AI inferencing across various applications. **Seller Details:** - **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®) ### 23. [Hailo AI Software Suite](https://www.g2.com/products/hailo-ai-software-suite/reviews) The Hailo AI Software Suite is a comprehensive set of tools designed to facilitate the development, optimization, and deployment of deep learning models on Hailo's AI processors. It seamlessly integrates with popular machine learning frameworks, enabling developers to efficiently build and implement AI applications across various environments. **Seller Details:** - **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®) ### 24. [HailoRT](https://www.g2.com/products/hailort/reviews) HailoRT is a lightweight, production-grade runtime software designed to facilitate real-time inference of deep learning models on Hailo AI processors. It provides a robust library with intuitive APIs, enabling developers to build efficient AI pipelines for both evaluation and production environments. HailoRT supports seamless integration with existing development ecosystems, ensuring optimized performance across various applications. **Seller Details:** - **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®) ### 25. [IBM Edge Application Manager](https://www.g2.com/products/ibm-edge-application-manager/reviews) IBM Edge Application Manager is an intelligent and flexible platform that provides autonomous management for edge computing. A single administrator can manage the scale, variability and rate of change of application environments across tens of thousands of endpoints simultaneously. IBM Edge Application Manager is a full-lifecycle edge environment that helps you to safely create, deploy, run, monitor, maintain and scale business logic and analytics applications at the edge. It can run anywhere and manage workloads on virtually any edge endpoint, including servers, gateways and devices. It brings enterprise-grade protection to edge deployments with spoofing prevention, tamper-proof and encrypted capabilities. Edge endpoints run on containers and the Red Hat® OpenShift® enterprise Kubernetes orchestration platform, giving you choice and flexibility to extend from any public or private cloud to any edge server or device. **Average Rating:** 4.4/5.0 **Total Reviews:** 10 **Seller Details:** - **Seller:** [IBM](https://www.g2.com/sellers/ibm) - **Year Founded:** 1911 - **HQ Location:** Armonk, NY - **Twitter:** @IBM (709,390 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/1009/ (324,553 employees on LinkedIn®) - **Ownership:** SWX:IBM **Reviewer Demographics:** - **Top Industries:** Information Technology and Services - **Company Size:** 40% Enterprise, 30% Small-Business ## Parent Category [IoT Management Platforms](https://www.g2.com/categories/iot-management)