Machine Learning & AI

Building machine learning solutions that take your applications to the next level.

A comprehensive AI offering

Today, organizations across the range of industrial verticals want to onboard machine learning and AI capabilities to solve complex business problems and increase the value of their products. Using public Cloud platforms and open source tools, we help you build and implement vertical-specific machine learning capabilities and solutions, based on algorithms that create valuable insights, enabling you to classify data, make predictions and more.

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ML Engineering - Productionizing your ML systems

When it comes to productionizing your existing ML/AI workload, we implement MLOps tools such as SageMaker, AzureML, KubeFlow into popular frameworks such as TensorFlow, PyTorch, to provide security, scalability, monitoring, concept drift detection and more. We also enable you to maximize the efficiency of your data science teams, through onboarding of collaboration and sharing tools that have been specifically designed for data scientists.

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Wide range of expertises

A completely transparent process

Beginning with a one-day workshop with your teams, we make sure we fully understand your requirements, constraints and end goals. With this information we use our own Cloud framework to architect the design of your solution, communicating with you every step of the way so that you know the different components and why each is required.

Using our expert knowledge, extensive experience and long-standing relationships with public Cloud vendors, we ensure compatibility with your IoT platform, build a management system for all your IoT devices, and integrate the solution with your existing systems.

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  • 2321

    Happy Users Around The World

  • 96%

    Growth Of Each Client Yearly

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Featured Case Study #Machine Learning & AI

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DevOps

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