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SpaceTime Insight

Overview
HQ Location
United States
Year Founded
2007
Company Type
Private
Revenue
$10-100m
Employees
51 - 200
Website
Company Description

SpaceTime Insight develops and delivers innovative advanced analytics and IIoT applications for asset-intensive industries. With our software, customers reduce cost and risk, increase capital efficiency, pinpoint theft, spoilage, and shrinkage, lower the frequency and duration of service outages, optimize field crews and operations, ensure regulatory compliance, and more. They understand the entire breadth of their operations in motion, in context, and in real time, and generate greater returns at lower risk, lower cost, and greater speed.

SpaceTime Insight’s software powers mission-critical systems for some of the largest companies around the world in diverse industries including utilities, shipping, manufacturing, and energy.

IoT Solutions

Nokia Software IoT was formed through the acquisition of SpaceTime Insight in April, 2018 and Nokia’s existing IoT Applications group. SpaceTime develops and delivers innovative advanced analytics applications and Industrial Internet of Things technologies for asset-intensive industries.

The applications help them reduce cost and risk, increase capital efficiency, pinpoint theft, spoilage, and shrinkage, lower the frequency and duration of service outages, personalize customer service, optimize field crews and operations, ensure regulatory compliance, and more.

The Machine Learning algorithms detect anomalies, predict the probability of asset failure, continuously optimize operations, and help companies deliver the best possible business results even when unforeseeable disruptions arise.

Key Customers

American Water, Arizona Public Service, BC Hydro, The California Independent System Operator, FedEx, Singapore Power

Parent Company
Technology Stack
SpaceTime Insight ’s Technology Stack maps SpaceTime Insight ’s participation in the platform as a service (paas), application infrastructure and middleware, and analytics and modeling IoT technology stack.
  • Devices Layer
  • Robots
    Drones
    Wearables
  • Edge Layer
  • Automation & Control
    Processors & Edge Intelligence
    Actuators
    Sensors
  • Cloud Layer
  • Platform as a Service
    Infrastructure as a Service
  • Application Layer
  • Functional Applications
  • Supporting Technologies
  • Analytics & Modeling
  • Application Infrastructure & Middleware
  • Cybersecurity & Privacy
  • Networks & Connectivity
Technological Capability:
None
Minor
Moderate
Strong

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