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Applied Ai

Applied AI Solutions

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Artificial Intelligence & Machine Learning Development

AI and ML solutions are being used for a wide range of business processes and applications. Companies tend to harness the value of AI and ML technologies for improving customer experiences and reducing costs through automation. Both AI and ML technologies are used to simplify complexities and address many business challenges by analyzing corporate data.

As a leading AI and ML services provider, we help enterprises optimize their processes and unleash the potential of AI-powered solutions. Our customized AI and ML solutions can serve a wide range of industries, including fintech, healthcare, eCommerce, retail, and more. You can get innovative AI solutions based on key business requirements and market trends.

Our esteemed corporate clients can get human-centered, outcome-oriented, and advanced AI and ML services to stay ahead in the competition, bring automation to processes, and transform their business model. We assist clients to stay relevant to the evolving needs of customers and grab endless possibilities to grow their business.

Machine Learning Methods

Machine Learning is an AI-based technique that enables computers to learn from experiences. ML algorithms are designed to use computational methods to ‘learn’ or understand the data without relying on any predetermined equation or model.

Machine Learning is classified into Supervised Learning and Unsupervised Leaning.

Supervised Learning

In this type of learning, the machine is constantly given inputs with intended outputs. Machine is constantly training to provide required output.

Unsupervised Learning

Machine provides the output, based on the given algorithm and the data patterns and provides required output.

Applications of AI & ML

Customized AI and ML solutions are useful in all the core industry sectors ranging from retail to manufacturing and BFSI to healthcare. Chatbots, NLP, voice assistants, visual search, etc. are some of the examples of applied AI and ML technologies. Other AI-based applications include text-to-speech, voice bots, and image recognition. A reputed AI and ML services provider can develop and implement customized applications based on these revolutionary technologies.

Our Offerings

Let Intelligent Machines Rule the Business


  • Solution on Text, Image and Video Processing
  • Solution with GPU , NVIDEA technology for faster compute and AI results
  • Improving process efficiently
  • Digital Transformation with existing organization process
  • Designing Digital roadmap


  • Cost Effective Business Solutions
  • Deliver Outcome with Intelligence
  • Transform Business with AI Driven Infrastructure


  • Application of ML on big data
  • Integration of Big Data and using ML algorithm
  • ML algorithm application for financial, CRM, Inventory optimization
  • Trend analysis with ML application

List of Common Machine Learning Algorithms

These algorithms can be applied to almost any data problem:
  • Linear Regression
  • Logistic Regression
  • Decision Tree
  • SVM
  • Naive Bayes
  • kNN
  • K-Means
  • Random Forest
  • Dimensionality Reduction Algorithms
  • Gradient Boosting algorithms

AI, ML, Deep Learning Tools

ML is a subset of Artificial Intelligence whereas Deep Learning is a subset of ML that contains networks. These networks are equipped to ‘understand’ the unsupervised data in a way similar to that of the human brain. Here are some of the major tools we use for building advanced AI and ML solutions.


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  • We will not reveal any of your info.
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