Qeexo

TRY
Enabling the New Era
of Machine Learning
at the Edge

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

TRY QEEXOFREE

2019 CES Innovation Awards
Honoree

2019 MWC Global Mobile Awards
Sortlisted

2020 AIconics Awards
Shortlisted

2021 CES Innovation Awards
Honoree

TRUSTED BY 6000+ BRANDS
ACROSS 90+ COUNTRIES

  • arm
  • renesas
  • st
  • arduino
  • tinyml
  • bosch
  • nvidia
  • qualcomm
  • oppo
  • huawei
  • synaptics
  • knowles

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

Why Qeexo AutoML?

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

Past Events

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Open Discussion with Accomplished Entrepreneurs

TIME
July 27, 2021 9:05 - 9:25 am PST
SPEAKER
Chris Harrison, CTO
DETAILS

During this open discussion with Q&A, these founders will share the things they wish they’d have known before starting out, how to stay focused on your goals and top tips for improving your opportunities and achieving success.

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Qeexo AutoML on Arm Cortex-M0+: Bringing tinyML to the tiniest of Arm MCUs

TIME
January 11, 2022 8:00 am PST, 4:00 pm GMT, 10:00 am CST
SPEAKER
Will Levine
DETAILS

This talk will cover a demonstration and discussion of Qeexo’s machine learning for M0+ platforms, appropriate machine-learning applications, and the Arm Virtual Hardware Platform.

Try Qeexo AutoML

Register for a free evaluation or other SaaS options.

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Contact Us

Interested in leveraging sensor data from your devices? We're happy to help!
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