Accelerating the Industrial Internet of Things
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Suppliers India Aikaan labs
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Aikaan labs

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

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
Sensors transform energy into electrical data; they are the eyes and ears of IoT. Actuators transform electrical data into energy; they are the muscle of IoT.
Technologies that enable legacy devices and other systems to connect to the IoT. They integrate technologies and protocols for networking.
Products used by end users that contain IoT technologies. Examples include enabled equipment, wearables, hand-held scanners, and tracking devices.
Software
Horizontal applications are standardized (e.g., asset tracking). Vertical applications are tailored to specific needs (e.g., delivery fleet management).
APIs are the market enabler for IoT. They allow users to manage devices, enable data transfer between software, and provide access capabilities.
Middleware integrates the diverse components of an IoT application by structuring communication, workflows, and business rules.
IoT analytics includes real-time or edge computing and batch analysis. Analytics can be behavioral, descriptive, predictive, or prescriptive.
Visualization solutions use dashboards, alerts, events, maps, and other tools to present easily comprehensible data to end users.
Data management solutions capture, index and store data in traditional database, cloud platforms, and fog systems for future use.
Security software provides encryption, access control, and identity protection to IoT solutions from data collection through end-user applications.
Services
System integrators link IoT component subsystems, customize solutions, and ensure that IoT systems communicate with existing operational systems.
IoT data management consultancies help to make sense of big data, decide which data to maintain and for how long, and troubleshoot IT issues.
IoT software consultancies support the development of data analytics, visualization solutions, and platforms, as well as integration into embedded systems.
Connectivity as a service as provided by telecommunications companies, i.e. data transfer, radio waves.
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