# Best Edge AI Platforms Software

## How Many Edge AI Platforms Software Products Does G2 Track?

**Total Products under this Category:** 40

### Category Stats (Jul 2026)

- **Average Rating:** 4.66/5 The average rating of products in this category, based on all submitted ratings
- **Top Trending Product:** AWS Greengrass (+0.46%) - Among all products in this category, AWS Greengrass recorded the largest rating increase compared to last month

_Last updated: July 31, 2026_

## 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
- 40+ 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.

### [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:** 4.5/5.0

**Total Reviews:** 3

#### Who Is the Company Behind PolarGrid?

- **Seller:** [PolarGrid](https://www.g2.com/sellers/polargrid)
- **HQ Location:** N/A
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=e29032a494684f15d5a9a7d5303efa1fdbc02a8c912246d9153b81a9f5a2c803&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fpolargrid%2F&secure%5Burl_type%5D=linkedin_company_website)  
4 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 33% Medium, 33% Small

#### What Are Recent G2 Reviews of PolarGrid?

**["Fast, High-Quality STT/TTS and Voice AI with Great Support"](https://www.g2.com/survey_responses/polargrid-review-12695009)**

**Rating:** 4.5/5.0 stars

_— Dmytro U._

[Read full review](https://www.g2.com/survey_responses/polargrid-review-12695009)

**["PolarGrid’s Regional Edge Shows Strong Potential for Low-Latency Intelligent IVR"](https://www.g2.com/survey_responses/polargrid-review-12945908)**

**Rating:** 4.0/5.0 stars

_— Hamza K._

[Read full review](https://www.g2.com/survey_responses/polargrid-review-12945908)

### [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

#### Who Is the Company Behind Gridlight?

- **Seller:** [Gridlight](https://www.g2.com/sellers/gridlight)
- **Year Founded:** 2025
- **HQ Location:** Fort Worth, US
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=d01f3355fea9ea42b2bf1f1b19dfaae3f9fcb640028ef46a1e5f6c64d18c6797&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fgridlightai%2F&secure%5Burl_type%5D=linkedin_company_website)  
4 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 100% Small

#### What Are Recent G2 Reviews of Gridlight?

**["Secure Local AI with Seamless Model Switching"](https://www.g2.com/survey_responses/gridlight-review-12502677)**

**Rating:** 5.0/5.0 stars

_— Jennifer F._

[Read full review](https://www.g2.com/survey_responses/gridlight-review-12502677)

**["True AI Autonomy Without Big Cloud Providers—Plus an Effortless Setup"](https://www.g2.com/survey_responses/gridlight-review-12508851)**

**Rating:** 5.0/5.0 stars

_— Verified User in Computer Software_

[Read full review](https://www.g2.com/survey_responses/gridlight-review-12508851)

### [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

#### Who Is the Company Behind ONE AI?

- **Seller:** [One Ware](https://www.g2.com/sellers/one-ware)
- **Year Founded:** 2024
- **HQ Location:** N/A
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=4d183bef9141222bb86752f89eac2f011c8bc64d1e26509093b147888c9234f5&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fone-ware%2F&secure%5Burl_type%5D=linkedin_company_website)  
11 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 100% Small

#### What Are Recent G2 Reviews of ONE AI?

**["Fast and User-Friendly Platform for Rapid Computer Vision Prototyping"](https://www.g2.com/survey_responses/one-ai-review-12228522)**

**Rating:** 4.5/5.0 stars

_— Marius H._

[Read full review](https://www.g2.com/survey_responses/one-ai-review-12228522)

**["Create highly efficient AI models, better than anything else on the market currently"](https://www.g2.com/survey_responses/one-ai-review-12194123)**

**Rating:** 5.0/5.0 stars

_— Verified User in Industrial Automation_

[Read full review](https://www.g2.com/survey_responses/one-ai-review-12194123)

### [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

#### Who Is the Company Behind Runyard?

- **Seller:** [Runyard](https://www.g2.com/sellers/runyard)
- **HQ Location:** N/A
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7886df2ed926834e5eb248c77dcfa8e5c815d3ab1f0fe3132ced0dba45868834&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2FNo-Linkedin-Presence-Added-Intentionally-By-DataOps&secure%5Burl_type%5D=linkedin_company_website)  
1 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 100% Small

#### What Are Recent G2 Reviews of Runyard?

**["Runyard Makes Finding the Right AI Models for Your Machine Easy"](https://www.g2.com/survey_responses/runyard-review-12560234)**

**Rating:** 5.0/5.0 stars

_— Ajitha N._

[Read full review](https://www.g2.com/survey_responses/runyard-review-12560234)

**["A Breakthrough: Finding the Perfect Local AI Models Has Never Been Easier"](https://www.g2.com/survey_responses/runyard-review-12559985)**

**Rating:** 5.0/5.0 stars

_— Nitin R._

[Read full review](https://www.g2.com/survey_responses/runyard-review-12559985)

### [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:** 21

#### Who Is the Company Behind AWS Greengrass?

- **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  
2,232,483 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=072881eee28a2afe24f8d1bda9f20e3e146b9fb4b214f216411ce2ed6898b31e&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Famazon-web-services%2F&secure%5Burl_type%5D=linkedin_company_website)  
147,094 employees on LinkedIn®
- **Ownership:** NASDAQ: AMZN

#### Who Uses This Product?

- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 39% Small, 35% Large

#### What Are Recent G2 Reviews of AWS Greengrass?

**["AWS IoT Greengrass Brings AWS Power to the Edge with Low Latency and Offline Resilience"](https://www.g2.com/survey_responses/aws-greengrass-review-13170309)**

**Rating:** 4.5/5.0 stars

_— Atharva P._

[Read full review](https://www.g2.com/survey_responses/aws-greengrass-review-13170309)

**["Low-Latency Edge Processing with Seamless AWS Integration"](https://www.g2.com/survey_responses/aws-greengrass-review-12798852)**

**Rating:** 4.5/5.0 stars

_— SARALA S._

[Read full review](https://www.g2.com/survey_responses/aws-greengrass-review-12798852)

#### What Are G2 Users Discussing About AWS Greengrass?

- [What is AWS Greengrass used for?](https://www.g2.com/discussions/what-is-aws-greengrass-used-for) - 1 comment

### [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

#### Who Is the Company Behind Edge Impulse?

- **Seller:** [Qualcomm](https://www.g2.com/sellers/qualcomm)
- **Year Founded:** 1985
- **HQ Location:** San Diego, CA
- **Twitter:** @Qualcomm  
441,209 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=c011c5355b10e30f99e8c597addd4e1f5e9def722397be57a2defdd1a5140c47&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fqualcomm%2F&secure%5Burl_type%5D=linkedin_company_website)  
56,625 employees on LinkedIn®
- **Ownership:** NASDAQ:QCOM

#### Who Uses This Product?

- **Company Size:** 64% Small, 36% Large

#### What Do G2 Reviewers Say About Edge Impulse?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **extensive data augmentation and deployment options** offered by Edge Impulse for enhanced model performance.
- Users appreciate the **ease of use** of Edge Impulse, finding its interface intuitive for importing and scaling data.
- Users value the **data augmentation and preprocessing tools** that enhance training data quality and improve model performance.
- Users value the **flexibility** of Edge Impulse for deploying models across diverse edge devices and formats.
- Users find Edge Impulse's **user-friendly interface** makes machine learning accessible for various edge devices effortlessly.

##### Cons

- Users feel that the **lack of offline documentation** can hinder their usage of Edge Impulse in low-connectivity areas.
- Users feel that the **lack of tools** limits support for custom embedded devices, hindering broader experimentation.
- Users find the **limited customization** of Edge Impulse restrictive for building complex or specialized machine learning models.
- Users feel that **missing features** for custom embedded devices limit the product's appeal and usability for developers.
- Users find the **model limitations** of Edge Impulse restrictive for complex, specialized applications, craving more customization options.

#### What Are Recent G2 Reviews of Edge Impulse?

**["Using Edge as a fairly new user"](https://www.g2.com/survey_responses/edge-impulse-review-8506732)**

**Rating:** 5.0/5.0 stars

_— Georgian C._

[Read full review](https://www.g2.com/survey_responses/edge-impulse-review-8506732)

**["Empowering Edge AI Innovation: A Comprehensive Edge Impulse Review"](https://www.g2.com/survey_responses/edge-impulse-review-8506779)**

**Rating:** 5.0/5.0 stars

_— Alex G._

[Read full review](https://www.g2.com/survey_responses/edge-impulse-review-8506779)

### [Ultralytics](https://www.g2.com/products/ultralytics/reviews)

Ultralytics provides an end-to-end vision AI ecosystem that helps organizations turn images and video into actionable insights. Its widely adopted Ultralytics YOLO models deliver fast, accurate computer vision across object detection, segmentation, classification, pose estimation, oriented object detection, semantic segmentation, tracking, and depth estimation. The latest recommended model, Ultralytics YOLO26, is designed for efficient, production-ready inference across cloud, edge, mobile, and embedded environments. Developers and enterprises use Ultralytics across manufacturing, healthcare, automotive, agriculture, retail, logistics, and robotics for applications such as quality inspection, patient monitoring, inventory tracking, crop analysis, autonomous navigation, and workplace safety. Ultralytics Platform brings the complete computer vision lifecycle into one unified workspace. Teams can manage and annotate datasets, train YOLO models using cloud or local resources, track experiments, deploy models globally, export to optimized formats, and monitor production inference. This reduces the complexity of combining separate tools and helps teams move from raw visual data to production-ready applications faster. Ultralytics combines an accessible developer experience with the performance, scalability, and deployment flexibility required by enterprises. Models support deployment across cloud infrastructure and hardware ranging from servers and GPUs to cameras, mobile devices, and edge accelerators. The Ultralytics open-source community includes more than 135,000 GitHub stars and 1,100 contributors. Ultralytics software has surpassed 306 million downloads and powers close to 3.5 billion YOLO usages every day, demonstrating its widespread adoption by developers and organizations worldwide.

**Average Rating:** 5.0/5.0

**Total Reviews:** 2

#### Who Is the Company Behind Ultralytics?

- **Seller:** [Ultralytics](https://www.g2.com/sellers/ultralytics)
- **Company Website:** ultralytics.com
- **Year Founded:** 2022
- **HQ Location:** 5001 Judicial Way Frederick, MD 21703, USA
- **Twitter:** @ultralytics  
8,876 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=f9175139aa5218dcfaaf7d33edd3c5560fb99bb1b88cf141dbdd2209ce595e77&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fultralytics&secure%5Burl_type%5D=linkedin_company_website)  
37 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 100% Medium

#### What Do G2 Reviewers Say About Ultralytics?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **deployment ease** of Ultralytics, enabling quick and efficient adaptations for various applications.
- Users value the **ease of use** in Ultralytics, as it allows for quick deployment and customization.
- Users value the **efficiency** of Ultralytics for rapid deployment and customization on edge devices.
- Users value the **efficient deployment** capabilities of Ultralytics, enabling optimized models for edge devices like Jetson ORIN.
- Users benefit from **efficient automation** for training and deploying models on edge devices like Jetson ORIN.

##### Cons

- Users find the **documentation lacking** in detail and timeliness, leading to confusion and misunderstandings.
- Users find the **documentation lacking for advanced deployment scenarios** , making certain tasks more complex than necessary.
- Users find the **documentation confusing** due to outdated information and AI-generated responses leading to misunderstandings.
- Users face challenges with **deployment issues** , citing inadequate documentation for advanced scenarios and codec support problems.
- Users often find **insufficient learning resources** , with outdated documentation and unclear initial responses causing confusion.

#### What Are Recent G2 Reviews of Ultralytics?

**["Easy - Fast - Very good results at first try"](https://www.g2.com/survey_responses/ultralytics-review-11773857)**

**Rating:** 5.0/5.0 stars

_— Verified User in Logistics and Supply Chain_

[Read full review](https://www.g2.com/survey_responses/ultralytics-review-11773857)

**["Edge devices support is Incredible"](https://www.g2.com/survey_responses/ultralytics-review-11773759)**

**Rating:** 5.0/5.0 stars

_— Sahil P._

[Read full review](https://www.g2.com/survey_responses/ultralytics-review-11773759)

### [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

#### Who Is the Company Behind Userful Infinity Platform?

- **Seller:** [Userful Corp.](https://www.g2.com/sellers/userful-corp)
- **Year Founded:** 2015
- **HQ Location:** San Ramon, CA
- **Twitter:** @Userful  
1,877 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=1fafe7d645246c85f96fac1cd840d77f1eabba883354c387e964afb296fb242b&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F61458%2F&secure%5Burl_type%5D=linkedin_company_website)  
91 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Information Technology and Services, Libraries
- **Company Size:** 49% Medium, 32% Small

#### What Do G2 Reviewers Say About Userful Infinity Platform?

_AI-generated summary from verified user reviews_

##### Pros

- Users find the **Ease of Use** of Userful Infinity Platform exceptional, making navigation and customization effortless for daily tasks.
- Users value the **reliable performance** of Userful Infinity Platform, noting its stability and ease of use in operations.
- Users rave about the **ease of use and flexibility** of the Userful Infinity Platform, enhancing operational efficiency effortlessly.
- Users love the **user-friendly interface** of Userful Infinity Platform, enabling easy management and quick customization of video walls.
- Users value the **enhanced efficiency** of Userful's platform, benefiting from streamlined display management and centralized control.

##### Cons

- Users find the **platform's complexity** frustrating, often feeling lost and overwhelmed by its modules and setup.
- Users find the **high upfront cost** challenging, despite appreciating the beneficial tools and streamlined system.
- Users experience **hardware limitations** with Userful Infinity Platform, impacting performance and compatibility with legacy systems.
- Users face a **steep learning curve** with the Userful Infinity Platform, often feeling lost navigating its complex modules.
- Users experience **rebooting issues** with the Userful Infinity Platform, causing disruptions and connectivity problems.

#### What Are Recent G2 Reviews of Userful Infinity Platform?

**["Seamless Migration and Effortless Real-Time Adjustments"](https://www.g2.com/survey_responses/userful-infinity-platform-review-12031404)**

**Rating:** 5.0/5.0 stars

_— Leanna C._

[Read full review](https://www.g2.com/survey_responses/userful-infinity-platform-review-12031404)

**["An extensive and high valued piece of software."](https://www.g2.com/survey_responses/userful-infinity-platform-review-10878281)**

**Rating:** 5.0/5.0 stars

_— Verified User in Banking_

[Read full review](https://www.g2.com/survey_responses/userful-infinity-platform-review-10878281)

#### What Are G2 Users Discussing About Userful Infinity Platform?

- [What are the benefits and drawbacks of using Userful Infinity Platform for visual display management?](https://www.g2.com/discussions/what-are-the-benefits-and-drawbacks-of-using-userful-infinity-platform-for-visual-display-management)
- [What is Userful Visual Networking Platform used for?](https://www.g2.com/discussions/what-is-userful-visual-networking-platform-used-for)

### [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.

#### Who Is the Company Behind AIoT Platform?

- **Seller:** [Terminus Technologies](https://www.g2.com/sellers/terminus-technologies)
- **Year Founded:** 2009
- **HQ Location:** Hamilton, NZ
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=5d459ca5a934cd57f3e444ba8494b2c7c5c5de763f053553c794c696df616d57&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fterminus-technologies&secure%5Burl_type%5D=linkedin_company_website)  
28 employees on LinkedIn®

### [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.

#### Who Is the Company Behind ATOM™-Lite?

- **Seller:** [Rebellions](https://www.g2.com/sellers/rebellions)
- **Year Founded:** 2020
- **HQ Location:** Seoul, KR
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=376a7c047c9b336dc131c491e57bc81f9a9394025b2847f9899a919ec67d6d74&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Frebellions-ai&secure%5Burl_type%5D=linkedin_company_website)  
186 employees on LinkedIn®

### [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.

#### Who Is the Company Behind Awiros?

- **Seller:** [Awiros](https://www.g2.com/sellers/awiros)
- **Year Founded:** 2015
- **HQ Location:** Gurgaon, IN
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=2f55d68087c4fcfc4f5bb18b963971c33bd203ec4107fb6e5ad2b5d6e16bd7e5&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fawiros%2F&secure%5Burl_type%5D=linkedin_company_website)  
111 employees on LinkedIn®

### [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

#### Who Is the Company Behind Azure IoT Edge?

- **Seller:** [Microsoft](https://www.g2.com/sellers/microsoft)
- **Year Founded:** 1975
- **HQ Location:** Redmond, Washington
- **Twitter:** @microsoft  
13,091,739 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=9458f51bd6ded48ad432a804f19ad736469f007787569b63827154231c315630&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fmicrosoft%2F&secure%5Burl_type%5D=linkedin_company_website)  
231,632 employees on LinkedIn®
- **Ownership:** MSFT

#### Who Uses This Product?

- **Company Size:** 50% Small, 33% Large

#### What Are Recent G2 Reviews of Azure IoT Edge?

**["IoT solution simplified"](https://www.g2.com/survey_responses/azure-iot-edge-review-4307698)**

**Rating:** 5.0/5.0 stars

_— Stacey R._

[Read full review](https://www.g2.com/survey_responses/azure-iot-edge-review-4307698)

**["Streamlined experience that can pack a punch"](https://www.g2.com/survey_responses/azure-iot-edge-review-1688669)**

**Rating:** 4.5/5.0 stars

_— John P._

[Read full review](https://www.g2.com/survey_responses/azure-iot-edge-review-1688669)

### [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

#### Who Is the Company Behind balena?

- **Seller:** [balena](https://www.g2.com/sellers/balena)
- **Year Founded:** 2013
- **HQ Location:** London, GB
- **Twitter:** @balena\_io  
5,988 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=1131d351f350bac56105a0894b29062f3134bbe8075c4cb7071e88632b799489&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F5000762%2F&secure%5Burl_type%5D=linkedin_company_website)  
72 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 50% Medium, 25% Large

#### What Are Recent G2 Reviews of balena?

**["Very good experience while working with Balena"](https://www.g2.com/survey_responses/balena-review-5422507)**

**Rating:** 5.0/5.0 stars

_— Verified User in Computer Software_

[Read full review](https://www.g2.com/survey_responses/balena-review-5422507)

**["Balena the best choice for IOT"](https://www.g2.com/survey_responses/balena-review-5395385)**

**Rating:** 5.0/5.0 stars

_— Peter J._

[Read full review](https://www.g2.com/survey_responses/balena-review-5395385)

#### What Are G2 Users Discussing About balena?

- [What is balena used for?](https://www.g2.com/discussions/what-is-balena-used-for)

### [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.

#### Who Is the Company Behind Dataflow Complier?

- **Seller:** [Hailo](https://www.g2.com/sellers/hailo)
- **Year Founded:** 2017
- **HQ Location:** Tel Aviv-Yafo, Tel Aviv District, Israel
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7d25e9a92806795f6d5a394e39b099054dbd7cb4b471b6851c82304bb89fd6fc&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fhailo-ai&secure%5Burl_type%5D=linkedin_company_website)  
298 employees on LinkedIn®

### [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.

#### Who Is the Company Behind DEEPX?

- **Seller:** [DEEPX](https://www.g2.com/sellers/deepx)
- **Year Founded:** 2018
- **HQ Location:** Seongnam-si, KR
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=21f04b1b18811d84bffbc00c2f913dd9d1af4ae974bf74e31e9daa375ed671ca&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fdeepx-corp&secure%5Burl_type%5D=linkedin_company_website)  
93 employees on LinkedIn®

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Similar Categories

- [Digital Twin](/categories/digital-twin)
- [IoT Analytics Platforms](/categories/iot-analytics-platforms)
- [IoT Connectivity Management](/categories/iot-connectivity-management)

- [IoT Development Tools](/categories/iot-development-tools)
- [IoT Device Management Platforms](/categories/iot-device-management-platforms)
- [IoT Edge Platforms](/categories/iot-edge-platforms)

- [IoT Operating Systems](/categories/iot-operating-systems)
- [IoT Platforms](/categories/iot-platforms)
- [Other IoT](/categories/other-iot)

[Browse Edge AI Platforms Themes](/categories/edge-ai-platforms/themes)

 ![Adam Crivello](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Adam Crivello")
AC

Researched and written by [Adam Crivello](https://research.g2.com/insights/author/adam-crivello)

Updated December 11, 2024

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

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