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QEEXO

TRY Menu Open
 * ML Platform
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   * Example Projects
 * Blog
 * Pricing

LAUNCH TRY TRY
Enabling the New Era
of Machine Learning
at the Edge

Qeexo develops machine learning solutions that generate actionable insights from
sensor data.

TRY QEEXOAutoMLFREE



2019 CES INNOVATION AWARDS
HONOREE


2019 MWC GLOBAL MOBILE AWARDS
SORTLISTED


2020 AICONICS AWARDS
SHORTLISTED


2021 CES INNOVATION AWARDS
HONOREE




FIRST AUTOMATED ML PLATFORM FOR AN ARM CORTEX-M0/M0+

Supporting a wide range of machine learning algorithms, Qeexo AutoML is designed
for lightweight, Cortex-M0-to-M4-class processors, yielding ultra-low power
consumption and latency.




AUTOMATICALLY BUILD MACHINE LEARNING
SOLUTIONS WITH SENSOR DATA

 * Industrial
 * Smart Home
 * Medical
 * Smartphone
 * Automotive
 * Others


WHY QEEXO AUTOML?

The UI is clean, intuitive, and provides end-to-end model deployment support. We
no longer have to fumble with various tools for collecting data, building
models, and deploying solutions.

Qeexo AutoML User

The Cortex-M0 and Cortex-M0+ processors pack high performance with very low
power consumption, and the added support of the Qeexo AutoML platform enables
application developers to easily add intelligence to small devices such as
wearables, making a world of one trillion intelligent devices a closer reality.

Steve Roddy, Vice President of Product Marketing, Machine Learning Group Arm

Combined with Arduino Nano 33 IoT, users [of Qeexo AutoML] can quickly create
smart IoT sensors that can perform analytics at the edge, minimize
communication, and maximize battery life.

Dominic Pajak, VP Business Development Arduino

By automating the development of ML solutions for advanced industrial IoT
applications such as condition monitoring and predictive maintenance, Qeexo
AutoML eases the usability of our products.

Pierrick Autret, Product Marketing Engineer STMicroelectronics

The Qeexo AutoML platform is a great tool to enable ML-based features without
[too much engineering] effort.

Qeexo AutoML User

The UI is clean, intuitive, and provides end-to-end model deployment support. We
no longer have to fumble with various tools for collecting data, building
models, and deploying solutions.

Qeexo AutoML User

The Cortex-M0 and Cortex-M0+ processors pack high performance with very low
power consumption, and the added support of the Qeexo AutoML platform enables
application developers to easily add intelligence to small devices such as
wearables, making a world of one trillion intelligent devices a closer reality.

Steve Roddy, Vice President of Product Marketing, Machine Learning Group Arm

Combined with Arduino Nano 33 IoT, users [of Qeexo AutoML] can quickly create
smart IoT sensors that can perform analytics at the edge, minimize
communication, and maximize battery life.

Dominic Pajak, VP Business Development Arduino

By automating the development of ML solutions for advanced industrial IoT
applications such as condition monitoring and predictive maintenance, Qeexo
AutoML eases the usability of our products.

Pierrick Autret, Product Marketing Engineer STMicroelectronics

The Qeexo AutoML platform is a great tool to enable ML-based features without
[too much engineering] effort.

Qeexo AutoML User

The UI is clean, intuitive, and provides end-to-end model deployment support. We
no longer have to fumble with various tools for collecting data, building
models, and deploying solutions.

Qeexo AutoML User
prev next


TRENDING ARTICLES

 * FEATURED BLOG Revolutionizing Motor Health: A Glimpse into Condition-Based
   Monitoring with Qeexo AutoML
   
   In the sprawling world of industries powered by machines and motors, the
   quest for effective condition-based monitoring has been relentless. The
   intricacies of maintaining optimal motor conditions within vast and dynamic
   environments have long presented a challenge. Enter the transformative
   solution: Effective Motor Condition-Based Monitoring, developed and scalable
   from Qeexo AutoML to ensure motor health. This blog delves into the
   innovation, technology, and impact behind this simple, yet highly effective
   approach to motor maintenance.
   
   Shaolin Kataria 01 September 2023
 * BLOG Qeexo AutoML Version 1.20.0 New Feature Introduction
   
   In this article, we are going to introduce you some of the latest and
   greatest new features and improvements released in Qeexo AutoML 1.20.0.
   
   Cora Zhang 07 April 2023
 * PRESS TDK announces availability of automated ML Platform Integration for
   Arm® Keil® MDK
   
   March 14, 2023 TDK Corporation (TSE 6762) announced the availability of the
   first automated ML platform integration for Arm Keil MDK from Qeexo, a TDK
   group company. The Qeexo AutoML platform supports a wide range of machine
   learning algorithms and...
   
   TDK 14 March 2023
 * BLOG Qeexo AutoML 1.19.0 New Feature Introduction
   
   In this article, we are going to introduce you some of the latest and
   greatest features and improvements released in Qeexo AutoML 1.19.0. Feature 1
   – ‘FILTER ENVIRONMENT’ feature, DATA page ‘FILTER ENVIRONMENT’ enables you to
   filter your...
   
   Cora Zhang 18 January 2023

VIEW ALL ARTICLES


PAST EVENTS


ST TECHNOLOGY TOUR BOSTON

TIME Nov 2nd, 2022 @ 9 AM EST SPEAKER Stephanie Pavlick DETAILS

In this session we will show you how to use Qeexo AutoML to easily collect data,
train models, and deploy working models to ST Machine Learning Core (MLC)
without writing any code.

REPLAY


ARM TECH TALKS

TIME March 7, 2023 8:00 am PST, 4:00 pm GMT, 10:00 am CST SPEAKER Ho-Gyun Choi,
Full Stack Software Engineer DETAILS

We will demonstrate the quick development of a specific noise detection machine
learning model and evaluation of that model using the no-code Qeexo AutoML flow.

REPLAY
VIEW ALL EVENTS
Try Qeexo AutoML

Register for a free evaluation or other SaaS options.

START FREE TRIAL


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The legal basis for the collection and processing of your data is your prior
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e-mail to qxo.webadmin@tdk.com. A withdrawal will not affect the lawfulness of
the processing prior to the withdrawal.

CONTACT US


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