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Logo of Edge Impulse

Edge Impulse

byEdge Impulse
in Edge AI Solutions
4.5

Overview

Product Information on Edge Impulse

Updated 17th October 2025

What is Edge Impulse?

Edge Impulse, a Qualcomm company, is the trusted edge AI platform for developing edge AI solutions and deploying them to edge devices from vendors across the global hardware ecosystem. Our tools and technology enable developers and enterprise teams to streamline and accelerate the process of building, delivering, and optimizing embedded AI and machine learning solutions using real-world data. Edge Impulse was acquired by Qualcomm Technologies Inc. as part of its ongoing strategic investment in IoT transformation and expansion of Qualcomm’s leadership in AI capabilities that power AI-enabled products and services across IoT. Edge Impulse customers have access to accelerated support and resources for key edge AI use cases on Qualcomm’s IoT hardware, and Qualcomm customers can seamlessly leverage Edge Impulse’s intuitive edge AI development workflows to help significantly accelerate deployment of AI in IoT solutions.

Edge Impulse Pricing

Overall experience with Edge Impulse

Engineer
3B - 10B USD, Manufacturing
FAVORABLE

“Product Praised for Ease but Improvement Needed in IAR Library Integration”

5.0
Feb 3, 2026
Helpful team. Quick support. Able to develop and iterate very efficiently
SW Architect
500M - 1B USD, Consumer Goods
CRITICAL

“Excellent tool with some issues in deployment to big embedded systems”

3.0
Jun 3, 2025
The service works super great in data handling and training the models and the performance of the output is great. Some issues are with warnings from the delivery object and some difficulties with multi-impulse feature.

About Company

Company Description

Updated 1st March 2024

Edge Impulse is a software platform that helps companies run machine learning models on real world devices that make decisions and offer insights where data is gathered. The platform accelerates time to market, improves ML outcomes, and de-risks on-device deployment so users can develop and productize next generation products and solutions. The platform offers the power to seamlessly manage machine learning for the edge, including data acquisition, signal processing, ML training, model testing, and creating a deployable model that can run efficiently on an edge device from MCU to CPU to GPU.

Company Details

Updated 26th February 2025
Company type
Private
Year Founded
2019
Head office location
San Jose, United States
Number of employees
51 - 200
Website
https://www.edgeimpulse.com

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Key Insights

A Snapshot of What Matters - Based on Validated User Reviews

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Peer Discussions

Edge Impulse Reviews and Ratings

4.5

(14 Ratings)

Rating Distribution

5 Star
71%
4 Star
14%
3 Star
14%
2 Star
0%
1 Star
0%
Why ratings and reviews count differ?

Customer Experience

Evaluation & Contracting

4.3

Integration & Deployment

4.2

Service & Support

4.8

Product Capabilities

4.4

Filter Reviews
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Most helpful
Last 12 Months
Star Rating
Reviewer Type
Reviewer's Company Size
Reviewer's Industry
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Reviewer's Job Function
  • Engineer
    1B-10B USD
    Manufacturing
    Review Source

    Product Praised for Ease but Improvement Needed in IAR Library Integration

    5.0
    Feb 3, 2026
    Helpful team. Quick support. Able to develop and iterate very efficiently
  • Senior Lecturer
    Gov't/PS/Ed
    Government
    Review Source

    Versatile Edge AI Platform Offers Hardware Agnostic Functionality Across Devices

    5.0
    Jul 1, 2025
    The product is very versatile, you can do pretty much anything related to Edge AI, regardless of device.
  • SW Architect
    50M-1B USD
    Consumer Goods
    Review Source

    Excellent tool with some issues in deployment to big embedded systems

    3.0
    Jun 3, 2025
    The service works super great in data handling and training the models and the performance of the output is great. Some issues are with warnings from the delivery object and some difficulties with multi-impulse feature.
  • Staff Engineer
    10B+ USD
    Energy and Utilities
    Review Source

    Prohibitive Pricing for PoCs, But Excellent Ease of Use and Interface

    3.0
    May 29, 2025
    I had a wonderful experience utilizing the platform to build AI models for the company. There were deficiencies back when I used the platform. It had no support for classical models. I hope it has changed now.
  • Director of IT
    <50M USD
    IT Services
    Review Source

    Ease of use and deployment options to edge

    4.0
    Oct 22, 2024
    User friendly interface with good documentation. No issues encountered so far
Showing Result 1-5 of 16

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Reviewer Insights for: Edge Impulse
Performance of Edge Impulse Across Market Features

Edge Impulse Likes & Dislikes

Like

1) Ease of use 2) Support and resources 3) Useful features

Like

Ease of use, good documentation and great API

Like

It's versatile, hardware agnostic, user-friendly

Dislike

- Lack of layer normalization - Lack of learning rate scheduler - Generic IAR library needs some work to get going

Dislike

The customized libraries from other sources cause headache. Symbol duplication in causing issues in the end product as TensorFlowMicro uses same functions, but they get added many times and then the ROM consumption increases.

Dislike

Overall it's quite intuitive, but some functions need unnecessarily many clicks. From time to time training is much slower than average. It is well documented, but the documentation is a bit scattered.