The need to carry out real-time analytics and inference processes at the edges is driven by the unprecedented rapid proliferation of IoT devices along with the increase of machine-to-machine communication (M2M). 

OperAI 's products include the development of IoTs with integrated AI at the edges of the cloud, such as AI-based discovery tools as well as contextual and cognitive tools. These IoT devices with embedded ML/AI can help to offer timely insights and to streamline operational processes on real-time. 
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OperAI Edge - IoTs

This book by OperAI refers to a paradigm shift in the analytics landscape where the edges and the fog are becoming the new interface for analytics insights and for hosting new artificial intelligence applications, including physical AI.

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Imaging IoT tools

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• IoTs with imaging techniques capabilities to process image data.
• Capability of infra-recognition to capture subtle variation within images.
• Carry out automation on real-time with embedded AI.

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Signal/Audio IoT tools 

• IoTs to capture and process signal/audio and times series data.
• IoT with ML/Ai capability to assist in conducting and streaming operational processes. ​

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Context based IoTs  

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• Internet of Things with integrated AI at the edges.
• AI combining text and context for cognitive analytics.  

Edge Analytics
(Internet of Things)

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Embedded  Machine Learning & Artificial Intelligence

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OperAI co-develops tools within the sustainability perspective
​by including e-waste in the process of making new products with its 
recycling partners. 

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 OperAI 's related development environnements include C/C++, R, Spark, Quantum and AI related deep learning frameworks such as mxnet. ​
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Services & Products

Reviews & Comments

Team Members

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