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AI/ML For Businesses

AI and ML can be used to study complex and large datasets to derive patterns. It has reshaped the decision-making process in companies and has found its use case in several industries such as healthcare, manufacturing, retail, supply chain, finance etc.


As an AI solution provider, we collaborate with companies to build models to help them discover new patterns within their data. We use TensorFlow to create AI and ML models and use microservices offered by prominent cloud service providers such as Amazon Web Services, Microsoft Azure, Google Cloud, and Oracle Cloud to quickly and easily train, and deploy these models at any scale.

Comprehensive Enterprise AI Solutions

Leverage our experience in Machine and Deep learning models development, Big Data, and Cloud technology to successfully build, deploy, and manage AI solutions in your industry.

Our AI Services

AI Software & Model Development

Full-cycle development based on DL/ML algorithms, including Data Science research, training, validation, testing

AI DevOps

AI in software development to suggested AI-enabled DevOps automation software stacks to theoretical AI future use cases

AI-driven Big Data Solutions

Architecture design and implementation for Enterprise Big Data solutions

AI Solutions Lifecycle Management

Implementation of AI application lifecycle management and CI/CD

On-the-Edge AI

ML models customization for on-the-edge device deployment

Integration

Establish integration with AI-ready cloud platforms and third-party APIs

Areas of Expertise

Image Processing And Video Analytics

  • Store and process all video streams
  • Surveillance, wearable, hand-held and other cameras integrated in one data lake platform
  • Highly-customizable video learners
  • Lightweight ML models on the edge
  • Fully automated end-to-end production process
  • Face recognition matched with other users transactions
  • Personalized image processing
  • Behavior patterns extraction
  • Detecting blacklisted persons

Machine & Deep Learning

  • Predictive maintenance algorithms for Industrial IoT platforms
  • Finance: AI driven market insights and predictions; predictive and prescriptive maintenance
  • Predictive algorithms for individual customer experiences (Web and Mobile)
  • AI-driven data analytics for trend-watching in Retail and other industries
  • Data mining

Natural Language Processing

  • Consumer Machine Learning Chatbots
  • Department-specific AI assistants
  • Data mining and extraction
  • Voice recognition/Voice AI

Data Lakes & Cloud IoT

  • Big data, business Intelligence analytics, predictive tools, planning, generative models, and optimization tasks in one place
  • Data ecosystem architecture development
  • Distributed storage
  • Scale-ready read and write processing
  • Data cleaning processes
  • Pre-built high level features for machine learning
  • Integration with popular cloud platforms

How It Works

Migration

Data migration from legacy systems to new platform

Design & Architecture

Design data platform tailored to the business needs

Platform Implementation

Components implementation and deployment

ML & Business Intelligence & analysis

Recommendation Engine
Analysis of domain and data