TDK to acquire Qeexo for TinyML edge platforms

TDK to acquire Qeexo for TinyML edge platforms

Business news |
By Nick Flaherty

TDK has agreed to acquire Qeexo, a US venture-backed company spun out of Carnegie Mellon University working on no code end-to-end TinyML machine learning for edge devices and sensors.

Qeexo will become a wholly owned subsidiary of TDK, subject to customary closing conditions, including approval of the Committee on Foreign Investment in the US (CFIUS).

Qeexo, founded in 2012 and based in Mountain View, California, is the first company to automate end-to-end machine learning for edge devices. Its AutoML tool enables a no-code environment with data collection and training of 18 (and expanding) different machine learning algorithms, including both neural networks and non-neural-networks, to the same dataset. At the same time it generates metrics for each (accuracy, memory size, latency), so that users can pick the model that best fits their unique requirements.

It had raised has raised a total of $7.4m in funding over 3 rounds, with the last Series B round in 2016. The terms of the deal were not disclosed.

The cloud-based software includes an intuitive UI platform system that allows users to collect, annotate, cleanse, and visualize sensor data and automatically build “tinyML” models using different algorithms.

Qeexo’s AutoML platform allows engineers to use sensor data to rapidly build machine learning solutions optimized to have ultra-low latency and power consumption, with small memory footprint for highly constrained environments with applications in industrial, IoT, wearables, automotive and mobile.

“Qeexo brings together a unique combination of expertise in automating machine learning application development and deployment for those without ML expertise, high volume shipment of ML applications and understanding of sensors to accelerate the deployment of smart edge solutions,” stated Jim Tran, CEO, TDK USA Corporation. “Their expertise combined with TDK’s leadership positions in sensors, batteries and other critical components will enable the creation of system level solutions addressing a broad range of applications and industries.”

“Our platform is an outgrowth of our own history of high-volume ML application development and deployment enabling those with domain expertise but not ML expertise to solve real world problems quickly and efficiently,” said Sang Lee, CEO of Qeexo. “We see our AutoML tool as a natural partner to the smarter sensor systems that TDK is building.”

Queexo will demonstrate its TinyML machine learning platform on both its own booth and the TDK booth at CES 2023 this week.

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