Suppliers > Austria > twingz

twingz

twingz Logo
Overview
HQ Location
Austria
Year Founded
2010
Company Type
Private
Revenue
< $10m
Employees
11 - 50
Website
Twitter Handle
Company Description
twingz is a Vienna and Amsterdam based predictive analytics solutions specialist. twingz recognizes activities of appliances and machinery by reading meter data feeds of electricity meters and delivers valuable insights to their B2B clients such as insurance companies and energy companies which in turn deliver to their client bases of SMEs and consumers. Main benefits are fire damage prevention, enabling Predictive Maintenance and energy saving. The Team consists of 14 heads with intense knowledge in IoT and Data Sciences and is focussed on tech topics in Vienna and market development in Amsterdam.
IoT Solutions
PREVENT DAMAGE
twingz Anomaly Detection service monitors consumption patterns and behaviour of your appliances and how you use them. We issue individualised and customised warnings in case we detect something unusual.

PREDICT CONSUMPTION.
With power consumption data on individual appliance level and a Machine Learning based analysis of usage patterns, we provide predictors for expected consumption near real time. Get a detailed demand side view and balance your grid accordingly.

SCHEDULE MAINTENANCE.
Altered power consumption patterns are one of the tell-tale signs of wear and tear or something more seriously going wrong with your machinery. twingz will notify you accordingly. So you can schedule maintenance when it is
Key Customers
Fifthplay, Doepke, ELK, CISCO, Verbund, Munich RE
Technology Stack
twingz’s Technology Stack maps twingz’s participation in the analytics and modeling, and functional applications IoT Technology stack.
  • Devices Layer
  • Robots
    Drones
    Wearables
  • Edge Layer
  • Automation & Control
    Processors & Edge Intelligence
    Actuators
    Sensors
  • Cloud Layer
  • Platform as a Service (PaaS)
    Infrastructure as a Service (IaaS)
  • 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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