Qeexo
Qeexo, founded in 2012 as a spinout from Carnegie Mellon University, was acquired by TDK Corporation in January 2023 to bolster its edge AI capabilities.
Profile
Automated machine learning platform for building AI models on low-power edge devices.
Qeexo, founded in 2012 as a spinout from Carnegie Mellon University, was acquired by TDK Corporation in January 2023 to bolster its edge AI capabilities. The Mountain View-based company specialized in automated machine learning (AutoML) for edge devices, offering a no-code platform to develop tinyML models optimized for low-power, constrained environments. Qeexo's technology enabled rapid deployment of ML solutions across industrial, IoT, wearables, and automotive applications without requiring deep ML expertise.
The acquisition positioned TDK to integrate Qeexo's AutoML with its sensor and component portfolio, accelerating smart edge solutions for Industry 4.0. Pre-acquisition, Qeexo had raised $7.4M in funding, with its last Series B round in 2016. Post-acquisition, Qeexo operates as a TDK subsidiary, focusing on edge AI for industrial machine health monitoring and predictive maintenance.
The company's AutoML platform remains a key differentiator, supporting 18+ ML algorithms with metrics for model selection. TDK's 2026 financials indicate continued investment in edge AI, though Qeexo-specific revenue is not disclosed separately.
Who buys this
- Industrial equipment manufacturers
- IoT device makers
- Automotive suppliers
- Wearable technology companies
- Smart sensor developers
Strengths and what to watch
Strengths
- Proprietary AutoML platform requiring no coding expertise for edge AI deployment
- Integration with TDK's sensor and component ecosystem for complete edge solutions
- Specialization in ultra-low power models for constrained hardware environments
Watch for
- Post-acquisition integration challenges within TDK's large corporate structure
- Competition from open-source tinyML frameworks gaining traction
- Dependence on TDK's roadmap for continued R&D investment
Key Information
- Founded
- 2012
- Headquarters
- Mountain View, Country
Frequently Asked Questions
What does Qeexo do?
Qeexo provides an automated machine learning (AutoML) platform for building AI models on low-power edge devices. Their no-code solution enables rapid deployment of tinyML models for industrial, IoT, wearables, and automotive applications without requiring deep ML expertise. Founded in 2012, Qeexo was acquired by TDK in 2023.
Why did TDK acquire Qeexo?
TDK acquired Qeexo in January 2023 to strengthen its edge AI capabilities. The acquisition allows TDK to integrate Qeexo's AutoML platform with its sensor and component portfolio, creating complete smart edge solutions for Industry 4.0 applications like industrial machine health monitoring and predictive maintenance.
What industries use Qeexo's technology?
Qeexo serves industrial equipment manufacturers, IoT device makers, automotive suppliers, wearable technology companies, and smart sensor developers. Their AutoML platform specializes in ultra-low power models for constrained hardware environments, making it ideal for edge AI applications across manufacturing, transportation, and consumer electronics sectors.
How does Qeexo's AutoML platform work?
Qeexo's platform automates machine learning for edge devices without coding. It supports 18+ ML algorithms with metrics for model selection, optimizing for low-power environments. The solution enables rapid deployment of AI models for industrial IoT, wearables, and automotive applications, requiring minimal machine learning expertise from users.
What are Qeexo's main competitive advantages?
Qeexo's strengths include its proprietary no-code AutoML platform, specialization in ultra-low power edge AI models, and integration with TDK's sensor ecosystem. The platform stands out for enabling tinyML deployment on constrained hardware, serving industries needing efficient AI solutions without extensive ML resources.
What challenges does Qeexo face after the TDK acquisition?
Post-acquisition challenges include integration within TDK's corporate structure, competition from open-source tinyML frameworks, and dependence on TDK's R&D roadmap. While TDK's 2026 financials show continued edge AI investment, Qeexo must maintain its AutoML differentiation amid growing market alternatives.
Sources
- www.prnewswire.com — Acquisition details and Qeexo's AutoML platform capabilities
- www.nixonpeabody.com — Legal details of TDK's acquisition of Qeexo
- www.eenewseurope.com — Qeexo's funding history and technical approach to tinyML
- sensei.tdk.com — Post-acquisition product focus on industrial edge AI