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AWS

Build scalable data platforms and AI solutions on AWS.

AWS

Power your data and AI with AWS

Building modern data and AI solutions requires more than cloud infrastructure. Organizations need connected data platforms, scalable processing, secure architectures, and the right AI services. We help organizations design, implement, and optimize AWS environments for data engineering, analytics, and AI. From cloud foundations and data lakes to generative AI applications, we build solutions aligned with your business needs.

  • Build data lakes and analytics with S3, Glue and Redshift
  • Develop machine learning with SageMaker AI
  • Create models and agents with Amazon Bedrock
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Our capabilities

What we build on AWS

Cloud Architecture & Foundations

Design secure, scalable AWS environments with networking, identity management, infrastructure automation, and governance.

Data Lakes & Lakehouse Architecture

Build modern data platforms using Amazon S3, AWS Lake Formation, and open table formats to support analytics and AI workloads.

Data Engineering & AWS Glue

Develop batch and streaming data pipelines using AWS Glue, Amazon Kinesis, and managed integration services.

Analytics & Amazon Redshift

Build data warehouses and analytics solutions using Amazon Redshift, Amazon Athena, and AWS-native data services.

Generative AI & Amazon Bedrock

Develop AI assistants, RAG applications, and intelligent agents using Amazon Bedrock, Knowledge Bases, AgentCore, and Amazon OpenSearch Service.

Machine Learning & SageMaker AI

Build, train, deploy, and manage machine learning solutions using Amazon SageMaker AI and supporting AWS services.

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Why Ambidex

Why choose Ambidex for AWS

Data engineering and AI expertise

We combine cloud architecture, data engineering, analytics, and AI development to deliver integrated solutions on AWS.

Security and governance by design

We incorporate identity management, access controls, encryption, and governance practices into cloud and data architectures.

Performance and cost optimization

We design workloads with attention to scalability, resource efficiency, and ongoing AWS operating costs.

FAQ

Frequently asked questions

What AWS services does Ambidex provide?

We provide AWS cloud architecture, infrastructure implementation, data engineering, analytics, AI application development, machine learning, security, and cost optimization. Our work focuses on building secure, scalable environments for modern data and AI workloads.

Can you migrate our existing databases and data platforms to AWS?

Yes. We help organizations migrate databases, data warehouses, data pipelines, and applications to AWS. Our approach includes assessment, target architecture design, migration planning, implementation, testing, and validation.

How can Amazon Bedrock help us build generative AI applications?

Amazon Bedrock provides access to foundation models and managed capabilities for building generative AI applications. We use Bedrock and related AWS services to develop enterprise AI assistants, retrieval-augmented generation (RAG) applications, and intelligent agents connected to business data and workflows.

What is the difference between Amazon Bedrock and Amazon SageMaker AI?

Amazon Bedrock focuses on building generative AI applications using managed foundation models and supporting services. Amazon SageMaker AI provides capabilities for developing, training, customizing, and deploying machine learning models. We help determine which services best fit your requirements.

How do you manage AWS security, performance, and costs?

We implement appropriate access controls, encryption, monitoring, and infrastructure configuration practices. We also evaluate resource utilization, storage, processing, and workload patterns to identify opportunities to improve performance and manage cloud spending.

Get started

Talk to us

Connect with an Ambidex expert to discuss how to plan, build and run your cloud, data, and AI solutions.