Overview
Generative AI on Amazon Bedrock by IT-Magic
Production GenAI platform on Amazon Bedrock - RAG, agents, guardrails and MLOps, delivered as Terraform IaC by an AWS Advanced Tier Services Partner.
We design and operate production Generative AI on AWS for Retail, eCommerce, Fintech and Healthcare teams. Most GenAI pilots stall before production; we get yours live and keep it reliable, secure and affordable. What we deliver: RAG pipelines over your own data using Amazon Bedrock Knowledge Bases, Amazon OpenSearch and vector stores with embeddings; agents and tool-use with Amazon Bedrock Agents; prompt and model evaluation; guardrails and PII redaction; observability and token-cost governance; and CI-CD for prompts and models. Everything is delivered as Terraform Infrastructure-as-Code on Amazon EKS and AWS Lambda, with least-privilege IAM and AWS KMS encryption. Why IT-Magic: an AWS Advanced Tier Services Partner since 2010 with deep DevOps, security and FinOps practice - we run the platform engineering so your team focuses on the product, not the plumbing. Engagement: define your first use case, build the platform as code, evaluate and add guardrails, then operate with cost and observability governance. Pricing is based on the scope of your request - contact us to scope your first Amazon Bedrock use case.
Highlights
- Production RAG on Amazon Bedrock over your own data - Knowledge Bases, OpenSearch and vector embeddings with source-cited answers.
- Agents, guardrails, evaluation and PII redaction for safe, accurate GenAI - delivered as Terraform Infrastructure-as-Code on Amazon EKS and AWS Lambda.
- AWS Advanced Tier Services Partner running DevOps, security and FinOps so your GenAI app is reliable, compliant and cost-governed.
Details
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Pricing
Custom pricing options
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Support
Vendor support
Email: dir@itmagic.pro . Website: https://itmagic.pro . Support is delivered by IT-Magic AWS-certified DevOps and solutions architects. Engagement scope, response times and SLAs are agreed per Statement of Work; ongoing managed support and 24x7 options are available.