About Us

DeepKlarity facilitates business transformation leveraging Machine Learning and Artificial Intelligence

What We Do.

Computer Vision

Computer vision is an interdisciplinary field that deals with how computers can be made to gain high-level understanding from digital images or videos. Deep Learning seeks to automate tasks that the human visual system can do. It includes tasks like: Facial recognition, Image classification, Medical Image analysis, Real-time threat detection in CCTV footage, Search in videos, etc.

Natural Language Processing

Natural language processing (NLP) is an area of computer science and artificial intelligence concerned with the interactions between computers and human (natural) languages, in particular how to program computers to process and analyze large amounts of natural language data. Applications include Language translation, Text summarization, Extract tasks from a blob of text, etc.

Audio Analysis

Indexing music collections according to their audio features, Recommending music for music channels, Similarity search for audio files, Speech processing and synthesis – generating artificial voice for conversational agents, etc.

Robotic Process Automation

From self-generating test-cases to raise alerts to specific support staff by monitoring a production log stream. We (& our AI) helps identify processes which can be automated by analyzing the different data sources available.

Our Projects

  • Anomaly detection in CTG data

    In India every year, thousands of pregnancies become high risk due to delay in detection of anomalies. Our objective was to build a model which could analyze Cardiotocography (CTG) data in real-time and raise alert in case of any anomaly.
  • Predict Success of a Cold Call

    Our objective was to predict if a lead will pick-up a call or not. The aim was to filter out leads with lower confidence score and increase the meeting-set success rate.
  • Generate new models of watches

    Using Generative Adversarial Networks (GANs) to generate new designs for wrist watches. These AI generated designs were used by the designers to draw inspiration.
  • Draw2Code

    Using a combination of sophisticated Deep Learning models, Draw2Code started off as a weekend fun project where any user drawing on a physical whiteboard is fed into the system & the AI generates Reactjs or JS+HTML code to match the sketch drawn. Helps developers quickly prototype & get design validation.


Get In Touch.

Get in touch with us to understand how we can help transform your business using Machine Learning.

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