Suppliers India Aikaan Labs
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Aikaan Labs

Demystifying IOT networks
India
2017
Private
< $10m
11 - 50
Open website

At AiKaan (www.aikaan.io), we are building a software product with a foresighted vision 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.

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AIKaan develops Software 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 software 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:

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Bosch

Unitary

 

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Hardware
Software
Software that ingests data and visualises it to generate insights to answer specific questions
Providing the infrastructure to store and manage data.
Services
Number of Case Studies2
Smart Boilers -IIOT
-Visibility of a large fleet of remotely located Industrial grade IoT Devices.-Health and performance monitoring of the end devices required additional code.-Frequent failures require truck rolls.Data Connectivity issues.
Smart Surveillance
Smart Surveillance
-Managing large scale fleet of remotely located Cameras and IoT Gateways turns out to be operational expensive job.-Upgradation of AI/ML applications running on the Cameras.-Application Orchestration and management becomes challenging for AI and ML applications running across the solution.-Frequent failures require truck rolls.
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