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

cover image

ST Microelectronics Developers Conference Fireside Chat

TIME
October 26, 2021
SPEAKER
Sang Won Lee, CEO
DETAILS

Join Paul Cihak, EVP of ST Americas Region as he sits down with Federico Faggin – father of the microprocessor, Siana Systems, Microsoft, Qeexo, Avnet, and Synapse

cover image

ST Microelectronics / EMEA Webinar: AI for asset tracking using only machine learning core in sensors

TIME
October 19, 2021 9:00 am CEST (EMEA) 11:00 am PST (Americas)
SPEAKER
Various
DETAILS

Join us for 1-hour webinar on intelligent and ultra-low power asset tracking development with ST sensors and demo with ST Partner Qeexo.

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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