AWS SageMaker Consulting Services by Attri

Make ML work the way it's meant to work with Attri's AWS SageMaker experts
What Makes Us A Unique

AWS SageMaker Consulting Company

Machine learning has become a necessity, transforming the very nature of how businesses operate. But the road to business transformation using ML is riddled with complexities, where you need the right experts to get the desired outcomes.

At Attri, we help you from initial ML strategizing to developing ML models, integrating business systems and implementing the right toolset for business success.

Our experts bring curiosity and passion to solve complex data challenges.

We understand the nuances of AWS SageMaker and help you with superior machine learning models

Machine Learning
Data and Analytics
Customer Experience
Cloud Migration
Attri provides

Industry best AWS SageMaker Services

Scoping and Strategizing

Develop an impact-driven AI strategy that aligns with your business goals and create a roadmap for AI success with well defined KPIs.

ML Model Development

Augment your team with our cloud experts to leverage AWS Sagemaker and build custom machine learning solutions from the ground up.

Data Analytics and Insights

Extract valuable insights from your AWS data to take actionable business decisions and develop innovative solutions for business growth.

Faster Execution

Optimize workflows with our MLOps expertise for a smoother and agile operation between teams that leads to faster ML solution execution.

Modernize ML

Migrate current software to the cloud without hampering user experience and maximize Amazon cloud services to build the best digital solutions.

Holistic ML Management

Bridge the digital last mile between solution deployment and user experience to drive an end-to-end ML solution execution.

Talk to an AI expert
Why Choose

Attri for AWS SageMaker Solutions

For model training jobs, SageMaker may be easy to set up but when you need to customize, integrate and manage these services later, it can get daunting, resulting in multiple issues that hamper production and delivery while severely affecting the bottom line.


Custom architecture as per your use case


Your existing business systems and technologies


Reproducible training pipelines with SageMaker APIs

Monitor & improve

Your ML models for continued success

Our expertise
Case Study

Increasing Packaging Efficiency with AWS SageMaker for a Pharmaceutical Company

Pharmaceutical manufacturers produce a variety of drugs every day. The industry has strict guidelines for packaging and quality assurance.

Read Case Study

Work with our AWS SageMaker Developers

Get bespoke cloud solutions to drive business growth.

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