Cobalt Robotics Competitors, Revenue, Alternatives and Pricing

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Overview

Location:
Total Funding:$53.3M
Industry:Robotics
Founded:2016
Lead Investor(s):Sequoia

Estimated Revenue & Financials

  • Cobalt Robotics's estimated annual revenue is currently $9.7M per year.(?)
  • Cobalt Robotics received $13.0M in venture funding in April 2018.
  • Cobalt Robotics's estimated revenue per employee is $145,000
  • Cobalt Robotics's total funding is $53.3M.

Employee Data

  • Cobalt Robotics has 67 Employees.(?)
  • Cobalt Robotics grew their employee count by -12% last year.
  • Cobalt Robotics currently has 9 job openings.

Designed to increase workplace security and ensure proactive response to events, Cobalt customers are leveraging our reliable robots and remote specialists to transform their security operations. The result is increased situational awareness, real-time alerts, and proactive response at an economically attractive price point. The Cobalt service keeps your indoor facilities safe and secure by autonomously patrolling the premises, identifying people and motion, and detecting anything that's out of the ordinary. When it does, it alerts our Specialist who uses remote videoconferencing to assess the situation, take appropriate action, and manage events. Cobalt robots also support facilities management by identifying service issues and completing inspections during patrols. Cobalt's Robot Specialists support customers by analyzing live situations and following post orders and policies such as asking employees to badge in or escalating a response. Their training and flexibility ensure the consistency and constancy of coverage you require for compliance, security, and safety. Our award-winning robots are designed to be warm and welcoming, and to present a friendly face. Employees and guests can simply touch the video screen and immediately speak with a live Specialist for assistance. Cobalt is working for customers today, both directly and in partnership with some of the nation's top-rated security companies, to combine the reliability of machines with the flexibility of humans.

keywords:Security, Robotics, Machine Learning, Artificial Intelligence, Hybrid Vehicles