We develop scalable and intelligent software powered by AI / ML

In creating intelligent software, this involves simulating a number of capabilities, including reasoning, learning, problem solving, perception and knowledge representation.

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Application areas we focus

Recognition

Image and video object recognition and classification

Classification

Text recognition and manipulation.

Optimization

Creating Optimal routes and process flows

Frameworks we use

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Tensor Flow

TensorFlow is a free and open-source software library for machine learning. It can be used across a range of tasks but has a particular focus on training and inference of deep neural networks.

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MXNET

Apache MXNet is an open-source deep learning software framework, used to train, and deploy deep neural networks.

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CNTK

Microsoft Cognitive Toolkit, previously known as CNTK and sometimes styled as The Microsoft Cognitive Toolkit, is a deprecated deep learning framework developed by Microsoft Research.

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Gluon

The Gluon API specification is an effort to improve speed, flexibility, and accessibility of deep learning technology for all developers, regardless of their deep learning framework of choice.

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Pytourch

PyTorch is an open source machine learning library based on the Torch library, used for applications such as computer vision and natural language processing,

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Gensim

Gensim is an open-source library for unsupervised topic modeling and natural language processing, using modern statistical machine learning. Gensim is implemented in Python and Cython.

We love to hear from you, if you have anything in mind.

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