AI/ML Development

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Machine Learning

Infiniticube provides a variety of machine learning services, leveraging machine data to capture untapped sections of business patterns. We build, train, and deploy machine learning models and apply them to provide business solutions for companies and empower them to stay ahead of their rivals.

Why Infiniticube for Machine Learning?

In this profoundly aggressive tech market domain, organizations constantly seem to get a head start on their opponents through best practices. For this very reason, we present ready-made machine intelligence for your applications and business processes to help you enhance business outcomes.

But when you’re developing modern business solutions, you need to have a look at the market rivalry and digital experience developments in perspective for your business — before you do that, I will give you some details about the applications of machine learning, across various industries.

The following are some benefits you get with machine learning:

  • Increase productivity with ML for all skills
  • Implement at scale with ML Ops
  • Develop responsible ML solutions
To reap the most comprehensive gains from sales and promotional attempts, Infiniticube assists the sales and marketing unit to obtain insights, including:
  • Get warnings about clients who may turn their backs to tackle their inadequacies and gain their trust back
  • Enhance sales predictions by producing new leads by knowing what your clients are looking for, determining the most suitable fit, and calculating the time required to conclude the sale
  • Figure out customer needs and his/her wants better
  • Forecast customer’s future needs and offer solutions
  • A fast and effective approach to transaction-specific duties
  • Enhanced sales information, be it solving doubts or improving new product specialties
  • Customize email campaigns to match the demands of the prospective buyer. Make personalized offers depending on past ordering patterns
Our machine learning solutions can support HR teams to manage their people to function better by being ready to:
  • Monitor and evaluate candidates
  • Draw appropriate expertise
  • Identify attrition
  • Handle individual talents
Infiniticube can help you with FinTech using ML and deep learning in various ways, comprising:
  • Identifying fraudulent activities
  • Underwriting loan/insurance
  • Algorithmic buying and selling of stocks
  • Portfolio management
  • Customer Care Service

Machine Learning

  • Supervised /Semi-supervised/Unsupervised learning
  • Anomaly Detection
  • Personalized Recommendations

Vision Analytics

  • Face Analytics: Detection, Recognition, Demographics, & Expression
  • Human Activity Recognition
  • Spot Product Defects
  • Automate Quality Inspection

Natural Language Processing

  • Conversational Interfaces
  • Enterprise Search

Deep Learning

  • Driver Behavior

Automated Data Extraction and Analysis

  • Advanced Text Analytics
  • Document Analysis
  • Real-Time Translation

Business Metrics Analysis

  • Demand Forecasting
  • Fraud Prevention


  • Text-to-Speech
  • Speech-to-Text
  • Transcription
  • Chatbots


  • Medical Text Analytics
  • Automatically Convert Medical Speech to Text

One of the Fastest-Growing Services in History

  • 10x increase in team productivity
  • 90% cost reduction with managed spot training
  • 75% lower inference costs
  • 54% lower TCO
  • 70% reduction in data labeling costs

Tools and Technology Expertise in Machine Learning Frameworks

  • Azure Machine Learning
  • Amazon Sage Maker
  • PyTorch
  • Tensor Flow
  • Keras
  • R Studio
  • Python
  • SPSS

Machine Learning Platforms We Work On

  • Amazon Machine Learning
  • Azure Machine Learning
  • Google Machine Learning

The common privilege of machine learning is that it provides you access to information with high volumes of data effortlessly and the finest part is you have the access to abundant data at your very fingertips.

Our know-how skills in machine learning benefit firms by searching for their unknown reserves of data and making knowledgeable judgments from them.