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Suppliers > India > Aikaan Labs
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Aikaan Labs

Demystifying IOT networks
Overview
HQ Location
India
Year Founded
2017
Company Type
Private
Revenue
< $10m
Employees
11 - 50
Website
Company Description

AiKaan (www.aikaan.io) is a Cloud based SaaS to solve Monitoring, Controlling and Debugging issues for large scale IoT Edge deployments with respect to smart cities, smart transportation/parking, smart vehicles, Industrial IoT and many more.

Our application continuously monitors the health of the system along with network and applications and provide you with an overview of how things are behaving on end devices. Our proactive monitoring algorithms can identify and learn the normal operating conditions of your systems and notify failures/anomalies.

Visit Aikaan.io for more information.

IoT Solutions

AIKaan develops Cloud based Edge Controller to Orchestrate, Control and Manage Edge and Fog infrastructure.

AiKaan ensures predictable, reliable and secure data transfer from source (say a sensor node) to sink (analytics engine)

We are basically *not* an IOT solution providers or System integrators.But we work with IOT solution providers/System integrators

AiAgent

A Docker based software agent which is installed on each and every element of the

Edge Infrastructure to collect more than 50 data points with respect to "Network",

"Applications" and "Systems" and pass them to our Proprietary Edge Controller (VM)

i.e., AiCon.

AiCon

A Cloud based Edge Controller that receives data from individual agents i.e.,

AiAgents, co-relates them and learn the behaviour of the Entire Edge infrastructure

through Machine Learning algorithms with features as:

Key Customers

Bosch

Unitary

 

IoT Snapshot
Aikaan Labs is a provider of Industrial IoT platform as a service (paas), analytics and modeling, functional applications, and networks and connectivity technologies, and also active in the equipment and machinery industries.
Technology Stack
Aikaan Labs’s Technology Stack maps Aikaan Labs’s participation in the platform as a service (paas), analytics and modeling, functional applications, and networks and connectivity 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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