AWS cloud services cover designing, migrating, building and running applications, data platforms and AI solutions on Amazon Web Services. That includes serverless and container applications, data lakes and analytics, and generative AI with Amazon Bedrock, all set up securely and cost-efficiently.
Amazon Web Services provides the broadest set of cloud services for compute, storage, data and AI. We design and build well-architected AWS solutions, from serverless applications and container platforms to data lakes and machine learning pipelines.
Security, reliability and cost efficiency guide every design decision. We automate environments with CloudFormation, CDK or Terraform and set up monitoring, backups and disaster recovery.
End-to-end AWS expertise delivered by experienced engineers.
We follow an agile delivery model with short sprints, transparent reporting, code reviews and automated testing. Engage us for a fixed-scope project, a dedicated team or ongoing support, and scale as your needs evolve. Need a dedicated specialist? Hire experienced developers from our team.
We work with EC2, Lambda, ECS, EKS and Fargate; API Gateway and Step Functions; RDS, Aurora and DynamoDB; S3, Glue, Athena, Redshift and Kinesis for data; Amazon Bedrock and SageMaker for AI; and IAM, KMS, CloudWatch, GuardDuty and Security Hub for security and monitoring. Infrastructure is defined with Terraform or AWS CDK and deployed through CI/CD. Applications are built in Python, Node.js and .NET.
Choose a fixed-scope project, managed support, or hire DevOps engineers and Python developers for your team. For AI on AWS, see cloud AI integration and custom AI API hosting.
Building or migrating on AWS? Tell us about your workloads, and we will propose an architecture and plan. Start your AI journey.
Last updated: October 2026 · Prominent AI Services LLP engineering team
Common questions about our AWS services.
Yes. We design and review workloads against its pillars of security, reliability, performance, cost and operational excellence.
Yes. We use Amazon Bedrock and SageMaker to build and host generative AI applications securely.
We design backups, multi-AZ or multi-region architectures and tested recovery runbooks to meet your RTO and RPO targets.
Our fee depends on scope and complexity, and AWS charges separately for usage. We provide a fixed quote for the work and a monthly AWS cost estimate before you commit.
A single application can often be migrated in a few weeks. Larger estates are moved in waves over several months.
Serverless suits event-driven and variable workloads with minimal operations. Containers suit long-running services and applications that need more control. Many solutions use both.
Yes. We review usage, right-size resources, use Savings Plans and autoscaling, clean up unused resources and set up cost alerts.