Accelerating the Industrial Internet of Things
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Suppliers Germany ProGlove


1st smart glove for industries
< $10m
11 - 50
Open website
ProGlove develops smart gloves that enable manufacturing and logistics staff to work faster, safer and easier. Process steps can be documented hands free whilst instant feedback to its user is received. Therefore, ergonomics, efficiency and quality is improved.

ProGlove is a Munich-based company founded in December 2014 by former BMW and IDEO employees. After becoming third in the Intel “Make It Wearable” Challenge, the smart glove has already been recognized by BMW, Festo, Siemens, and other Board Executives. The startup has successfully closed its first funding round of $2.2 million in late May, led by Intel Capital, GETTYLAB and Bayern Kapital.
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FESTO, ŠKODA, John Deere, Audi, Mahle, BMW, Penny Logistics
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Sensors transform energy into electrical data; they are the eyes and ears of IoT. Actuators transform electrical data into energy; they are the muscle of IoT.
Hardware products that are used by end users that contain IoT technology.
Wearables are smart electronic devices that can be incorporated into clothing or worn on the body as implants/accessories
Number of News Items1
ProGlove Completes $6.7M Second Financing
FinSMEs (blog) - 10 May, 2018
ProGlove, a Munich, Germany-based Industrial IoT startup, completed its second $6.7m round of financing. Backers included Intel Capital, Gettylab, DIVC and Bayern Kapital’s Wachstumsfonds Bayern. The company, which has raised a total of $9.2m to date, intends to use the funds to further scale its intelligent glove to N
Number of Hardware1
ProGlove Mark
ProGlove Mark
A wearable designed for industrial use, including production and logistics. It enables manufacturing and logistics staff to work faster, safer and easier. Process steps can be documented handsfree and the smart glove gives instant feedback to its user.Each glove connects over Wireless connection (sub 1 GHz) and includes a rechargeable battery. Every ProGlove combines motion sensors, RFID scanning, and visual and haptic feedback to create a wearable that can be used to train new employees and automatically document a worker’s progress.
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