UPDATED 07:00 EDT / FEBRUARY 28 2018

INFRA

Wireless LAN startup Mist Systems closes on $46M funding round

Networking startup Mist Systems Inc., which has built a self-learning wireless local area network for enterprises that’s powered by artificial intelligence technologies, is gearing up for expansion after landing a $46 million late-stage funding round.

Mist said the oversubscribed Series C round, announced today, was led by Kleiner Perkins, whose general partner Mamoon Hamid will join the company’s board as an observer. Lightspeed Venture Partners, Norwest Venture Partners, Dimension Data and GV, formerly known as Google Ventures, also participated in the round. Mist has now raised a total of $88 million since its founding in 2014.

Mist is quickly making a name for itself thanks to its Wireless LAN offering, which is essentially just a local area network for enterprises that doesn’t rely on wired Ethernet connections. The company said its Wireless LAN is superior to other networks, claiming it’s the world’s first “self-learning network” powered by its proprietary AI technology.

The self-learning capabilities means that many of the laborious tasks associated with managing the network can be automated. In addition, Mist said, its Wireless LAN helps to make Wi-Fi services more predictable, reliable and measurable by providing greater visibility into the network’s inner workings.

Mist’s network, which is hosted in the cloud, also offers an Asset Visibility Service that provides indoor location services over Wi-Fi and the Bluetooth Low Energy communications protocol. Designed specifically for use in connected devices, BLE provides a way to transmit data using considerably less electricity than regular Bluetooth. It’s supported by most of the market’s leading handsets, including the iPhone as well as many wearables, smart appliances and other emerging types of connected devices.

When it launched its Asset Visibility Service last year, Mist said it was trying to replace older embedded indoor positioning systems so that sensors could be placed onto a forklift, so, for example, employees in a warehouse operation can quickly locate the vehicle. Mist claims its Asset Visibility Service is far more accurate and reliable than the traditional systems it wants to replace.

Mist said it will use the new funding to invest further in its platform’s AI capabilities and other aspects of its product. The company is also eyeing an expansion and said it will grow its sales and marketing resources on a global scale to achieve that.

Image: Mist Systems/Facebook

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