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Machine Learning India

Fostering science and machine learning in India

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Valiance is a leading analytics solutions provider that helps enterprises take data driven informed decisions. Our aim is to bring machine learning intelligence to products and processes so that enterprises can discover insights which would bring value to their business. We do this by identifying and tracking major operational data points, building reporting platforms and delivering ROI efficient solutions.

Products and Services

Valiance’s leverages its Machine Learning expertise in the areas of Personalization, Cognitive Automation (Chatbots and Image Analytics) and Predictive Analytics (Marketing and Risk Management). Our machine-learning algorithms collect real-time data to implement insights at the exact moment certain interactions are taking place. This helps our clients to define which types of data to automatically collect as well as what types of “lessons” the machine learning algorithms should learn, thus providing context for different types of data.

Subfields of AI Being Used

  • Computer Vision
  • Machine Learning
  • Natural Language Processing

Uses AI for

  • E-Commerce
  • Fraud Detection

Applies AI on

  • Text
  • Images


Valiance’s Machine Learning team consists of Business Analysts, Machine Learning Engineers, Software Developers, and Visual Designers who have strong industry experience, substantial business understanding and solid problem solving acumen. They truly appreciate the decisions one can take if one has correct information and together, they are helping our clients adapt and evolve with this new data driven paradigm shift.

Valiance Solutions’s AI team has 20 members.

Key Innovations

Valiance has been continuously contributing to share its learning by publishing research papers on a timely basis. The objective is to bridge the knowledge gap and present the fundamentals of Machine Learning in a lucid manner. Our key research areas include applications of Intelligent Character Recognition (ICR), Sentiment Analysis, Hybrid Intelligent and Recommendation Engines, Unsupervised Learning, Neural Networks etc.

Technology Stack

  • Hadoop
  • Spark
  • AWS


  • Image Processing in Intelligent Character Recognition for Digitized Forms Processing (
  • Intelligent System For Analyzing Sentiments of Feedback (
  • Unsupervised Clustering of Articles (


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*The data is as provided by the company.