It was January 2016 when I got fascinated by Deep Learning, a new type of AI that has been making big news. I am very proficient in Python so I decided to try out some tutorials on Google’s TensorFlow framework to get a feel for it. After seeing the power of Deep Learning first hand, I instantly got hooked. Fast forward 4-5 months and I got comfortable writing TensorFlow models. My Co-founder (Rajendra Singh) and I thought there must be a simpler way to build deep learning models that don’t require so much of learning of API etc. This is when the idea of a drag and drop interface to design neural network was born.  We knew we had a long journey ahead of us. Deep Cognition was born at that time.

Fast forward to today’s date, we have built an amazing platform which can let anyone with basic knowledge of deep learning concepts build a deep learning models in a very short amount of time. The best part is that you do not need to know coding or learn any Deep Learning frameworks like Tensorflow or MXNet. The initial idea of having a simple drag and drop model is resonating well with many enterprises customers as well who are looking to train their workforce to enable AI in their businesses.

On September 21, 2017 we received very exciting news about our company getting selected in top 5 finalists for The AIconics awards for “Best Innovation in Deep Learning” category at The AI Summit San Francisco. We were told that this year’s awards were most competitive yet, with over 300 companies entering across 10 awards. The shortlist was chosen by their independent judges and they have chosen Deep Cognition in their final 5.
The AIconics awards will be presented up on the Demo-Stage following the closing keynote on Day 1 (27th September) in conjunction with our drinks reception and last roughly 35 minutes from 18:10 – 18:40pm.

If you are attending AI Summit I welcome you to come and say hi to me.

An AI-based document data capture platform that allows businesses to automate data entry processes

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