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Suppliers > Singapore > Lynx Analytics
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Lynx Analytics

Data Analytics | Predictive Analytics | Artificial Intelligence
Overview
HQ Location
Singapore
Year Founded
2010
Company Type
Private
Revenue
< $10m
Employees
51 - 200
Website
Twitter Handle
Company Description

At Lynx Analytics, we unravel a world of connections that hold the most paramount business intelligence; through the combinations of graph analytics, A.I. and Machine Learning. We live in a massively connected world - with new lines of connections rapidly forming every millisecond. And with this, newer and more relevant data that can either make or break businesses.

Founded in 2010, Lynx Analytics is the brainchild of a group of INSEAD students and professors. Today we are home to an extremely talented team of data experts from top academic institutions like INSEAD, NUS and NTU.

Our award-winning technology and Customer Happiness Index solution are deployed by leading communication service providers, and an increasing number of other data-rich enterprises - with the primary aim to regain control over customer satisfaction and drive critical business impact. In 2016 Hong Kong Telecom became our strategic investor and client.

IoT Solutions

Big Data, Graph Analytics, Apache Spark, Hadoop, NPS, Customer Engagement, Customer Loyalty, Customer Satisfaction, Customer Science, Data Engineering, Data Science, Graph AI, Machine Learning, Artificial Intelligence, Software, Data Analytics, Graph Technology, Data Refinery, Customer Management, and Predictive Analysis

IoT Snapshot
Lynx Analytics is a provider of Industrial IoT analytics and modeling technologies.
Technology Stack
Lynx Analytics’s Technology Stack maps Lynx Analytics’s participation in the 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 (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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