Augusta Hitech strongly believes that Machine Learning and artificial intelligence are transformative technologies that will create the next quantum gain in customer experience and unit economics of businesses.

We help our clients to find and capture hidden value from data through a unique blend of business acumen, Machine Learning.

Augusta Hitech is a leading company in Northern America when it comes to cutting-edge Machine Learning and cognitive computing expertise. We can help you boost services and outperform the competition with the power of AI.

Why use AI and Machine Learning?

For a wide array of tasks, Machine Learning is superior to traditional software designs. It stands behind state-of-the-art search engines, real-time data science, digital security, artificial intelligence software and more.

Explore our AI & Machine Learning expertise

Machine Learning systems process and analyze enormous amounts of data without explicit programming. They scrutinize previous experience and improve performance on the fly.

We write Machine Learning algorithms with Python and R and use multiple additional frameworks and libraries such as Google Tensor Flow, Microsoft Azure Machine Learning and more.

Augusta Hitech experts have rigid hands-on knowledge of developing self-taught software for Healthcare, Information and Content Management, Manufacturing, Sales, Logistics and more.

Machine Learning - Taxonomy

Machine Learning - Functional Areas



Development life cycles supports

  • Collaboration for heterogeneous teams and technologies

  • Monitoring of ML models with statistical analysis capabilities

  • Reusability of ML models for rapid development

  • Interoperability between different analytic platforms and ML frameworks

AI and Machine Learning Landscape


  • Manufacturing
    - Yield Management
    - Sonic AI for heavy industrial machines

  • Sales
    - Demographic Analytics
    - Sentimental Analytics
    - Intended Marketing

  • Logistics
    - Material stock management
    - Shelve life analysis
    - Waste management


  • Q-Learning & Deep Q network

  • Feed forward neural networks & Recurrent neural networks

  • Conditional random fields & Decision trees


Engagement Model

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