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    GenAI services

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    Sold by: Agratix 
    We design, build and deploy production-ready Generative AI applications on AWS using Amazon Bedrock. Services span solution design, secure cloud infrastructure, model integration (Claude, Amazon Nova and others), and end-to-end delivery across UAT and Production — for teams adding GenAI features such as content generation, summarization, classification and document extraction.

    Overview

    Agratix helps organizations build and operationalize Generative AI on AWS. We take GenAI use cases from design to production — solution architecture, model selection and prompt engineering, secure infrastructure, application integration, and deployment across UAT and Production environments. Engagements typically include a secure landing zone (VPC, IAM, AWS KMS, AWS Secrets Manager), application hosting on Amazon EC2, managed databases on Amazon RDS, object storage on Amazon S3, and Generative AI capabilities delivered through Amazon Bedrock (Claude, Amazon Nova and other foundation models). We implement cost-optimized model tiering, in-region inference for data residency where required, monitoring with Amazon CloudWatch, and a knowledge-transfer session at handover. This service relates to Amazon Bedrock, Amazon EC2, Amazon RDS, Amazon S3, AWS IAM, AWS KMS, AWS Secrets Manager, Amazon CloudWatch and Amazon Route 53.

    Highlights

    • End-to-end GenAI delivery on Amazon Bedrock — solution design, model selection (Claude, Amazon Nova), prompt engineering and production deployment.
    • Secure, AWS-native architecture — VPC, IAM, KMS and Secrets Manager, with in-region inference for data residency.
    • Cost-optimized model tiering and usage monitoring to keep GenAI spend predictable

    Details

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    Delivery method

    Deployed on AWS
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    Support

    Vendor support

    Email: hello@agratix.com  · Website: <www.agratix.com >. We respond within 1 business day (IST) during business hours; implementation engagements include a knowledge-transfer session and post-deployment support for an agreed period.

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