Showing posts with label Mist. Show all posts
Showing posts with label Mist. Show all posts

Thursday, May 21, 2020

Juniper's Mist AI-powered Wi-Fi offers contact tracing

Mist Systems' AI-powered enterprise Wi-Fi is now supporting key workplace business continuity safety tasks like proximity tracing, journey mapping and hot zone alerting as part of strategic contact tracing and social distancing initiatives.

Juniper said that by using Mist access points and cloud services in conjunction with Wi-Fi and/or BLE-enabled devices such as phones and badges, enterprises can now support:

  • Proximity tracing - If an individual identifies as COVID-19 positive (or is experiencing symptoms), enterprises can quickly identify and notify other employees, guests or customers that may have been in close proximity to that individual while onsite. 
  • Journey mapping - Customers can view historical traffic patterns and dwell times for employees who have reported testing positive for COVID-19 – from the moment they were onsite to departure. Journey mapping can identify high-traffic hot zones so customers can take safety measures such as reconfiguring workspaces and deploying additional cleaning efforts.  
  • Hot zone alerting - By looking at the quantity of devices and locations in specific areas, enterprises can disperse or divert traffic away from congested areas with real-time, location-based alerting. They can also view trends over time to identify certain areas for proactive measures.

“Employee health and wellness have always been a key part of business continuity planning, but now more than ever enterprises are looking to IT for help complying with OSHA, ADA, CDC and other guidelines,” said Sudheer Matta, VP of Products at Mist. “The Mist architecture provides unique value by combining Wi-Fi with patented virtual BLE technology, supported by a 16 antenna array that is bi-directional and minimizes the need for extra infrastructure hardware like battery-powered beacons. In addition, Mist recently launched a Premium Analytics service that provides unique insight from a variety of data sources to optimize end-user/client experiences and identify trends that can assist customers with workplace safety.”

Wednesday, February 28, 2018

Mist raises $46 million for self-learning WLAN

Mist, a start-up based in Cupertino, California. raised $46 million in an unsubscribed C round of funding for its self-learning wireless networks powered by Artificial Intelligence (AI).

Mist says its wireless platform, which is designed specifically for the Smart Device era, makes Wi-Fi predictable, reliable and measurable by providing visibility into the user experience and by replacing time-consuming manual IT tasks with proactive automation.

The funding round was led by Kleiner Perkins, with additional funding from Lightspeed Venture Partners, Norwest Venture Partners, GV (formerly Google Ventures), NTT DOCOMO Ventures, and Dimension Data. This brings total funding in the company to approximately $88 million.
 In addition, Mamoon Hamid (General Partner at Kleiner Perkins) and Rob Lopez (Group Executive – Networking and Data Centre at Dimension Data) join Mist as board observers.

Wednesday, October 12, 2016

Mist Raises $28 Million for Cloud-enabled Wi-Fi + Bluetooth

Mist, a start-up based in Cupertino, California, raised $28 million in Series B funding for its smart wireless networking that integrates Wi-Fi and Bluetooth location services.

Mist said its platform lets you think centrally and act locally through a combination of cloud-based intelligence and on premises enterprise-grade Access Points. Machine learning automates key tasks like event correlation, location, and clustering to dramatically simplify wireless operations. The platform collects ongoing real-time state information from every mobile device on the network. It leverages virtual BLE (vBLE) beacons to eliminate the setup and management hassles of physical beacons.

Additional features:

  • Real-time visibility into user Radio Frequency (RF) environment - “RF glasses” give administrators a real-time view of the RF environment from the mobile device’s perspective. If a wireless user complains about a Wi-Fi or BLE problem, the Mist platform can be used to easily visualize in real-time exactly what their wireless environment looks like for accurate troubleshooting.
  • BLE Asset tracking – Mist is the first vendor to deliver deep analytics on both Wi-Fi and BLE using a single converged platform (Access Points and cloud). Administrators can easily track the average and maximum number of wireless users or BLE-enabled devices in a given location, the number of visits per zone, who is visiting each zone, and what the wireless experience was during each visit.
  • BT11 Access Point – The Mist BT11 is an industry-first enterprise-grade Access Point for Bluetooth Low Energy (version 4.2). It has a 16 antenna element steerable directional antenna and one omni-directional element array for the highest location accuracy of any BLE AP on the market. In addition, the BT11 has a dedicated radio for collecting data and sharing it with the Mist cloud for detailed location analytics and high accuracy indoor location services (down to one-meter accuracy with sub-second latency).


The funding was led by GV (formerly Google Ventures), with additional funding from Lightspeed Venture Partners, Norwest Venture Partners, and Cisco Investments. With the latest round of financing, Karim Faris, General Partner at GV, has joined Mist’s Board of Directors.

“The latest round of financing will help us further our goal of delivering amazing Wi-Fi and Bluetooth experiences to the billions of people using smartphones, tablets and laptops,” said Sujai Hajela, CEO and co-founder of Mist. “At the same time, we are committed to simplifying wireless operations and lowering IT costs by being the first vendor to bring big data and machine learning at web scale to wireless networking.”

“Mist is addressing two of the biggest issues in mobility today: reliable Wi-Fi that is easy to operate at web scale, and accurate Bluetooth location services that are seamless to deploy in any environment,” said GV General Partner Karim Faris. “Mist’s cloud-based platform uses advanced machine learning to deliver unprecedented automation and insight. This means that organizations like corporations, hotels, stores, hospitals, and universities can interact with their mobile users in exciting new ways.”

http://www.mist.com

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