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Qeexo
Qeexo AutoML is a one-click, fully-automated platform allowing customers to rapidly build machine learning solutions for highly-constrained environments using sensor data. Machine learning engines…
Qeexo
Qeexo AutoML is a one-click, fully-automated platform allowing customers to rapidly build machine learning solutions for highly-constrained environments using sensor data. Machine learning engines…
TL;DR
Core product: Qeexo AutoML — automated platform to build edge-ready sensor ML models
Edge focus: Models optimized for low-latency, low-power, small-footprint deployment on devices
Origins: Spun out of Carnegie Mellon University's HCI lab
Team size (reported): 57 employees
Funding (reported): Reported total funding $7.4M; public rounds include $2.3M seed (2014) led by Sierra Ventures
Company Overview
Problem Domain
Edge machine learning for sensor data (mobile, IoT, wearables, automotive).
Industry
Machine Learning / Edge AI
Tech Stack
Funding Track Record
2300000.00
Reported seed round led by Sierra Ventures
Profiles list a Series B with KTB Network as lead investor (details obfuscated in public profiles)
Most recent funding date reported in company snapshot metadata
Investor Signal
“Includes venture investors such as Sierra Ventures and KTB Network; company profiles record multiple investors and later acquisition activity”
Founders
What we do
Join the Team
Startup jobs. A lot of them.
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