Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. It allows developers to speed up their Machine learning process as it removes all the barriers that typically impede their deployment speed.

At CIGNEX Datamatics, we leverage the features of Amazon SageMaker and facilitate organizations to simplify the complex process of building & training the models and then deploying them into production. Our SageMaker experts have experience in managing the SageMaker modules that can be used together or independently to build, train, and deploy the machine learning models & can help you in quickly getting to production.

Why Amazon SageMaker?

Amazon SageMaker enables you to build, train, and deploy machine learning models quickly and easily while taking care of the heavy lifting of machine learning.


Provides hosted Jupyter notebooks that require no setup and allows to start processing the training dataset & developing algorithms immediately


One-click, on-demand distributed training with built-in model tuning that can automatically adjust hundreds of different combinations of algorithm parameters for greater, speed, accuracy, and data-throughput.


An elastic, secure, and scalable environment to host your models, with one-click deployment

Our AWS SageMaker Services

AWS SageMaker Consulting

From building and training the model to deployment, our experts can help you on all aspects of your Machine Learning Journey

AWS SageMaker Professional Services

Looking for a SageMaker architect, consultant or developer to work on your project? Reach out to us and we can facilitate an expert from our broad team that would seamlessly fit into your ML project.

Why CIGNEX Datamatics ?

  • Team of experts who can help you get to production with Machine Learning Quickly
  • Experience in building algorithms and reuse built-in ones available in the platform’s repository as per the requirement
  • Expertise in integrating SageMaker with your existing workflow along with optimization for high speed deployment