Overview
CRESCO provides a professional service for designing and implementing a secure, enterprise-ready generative AI environment on AWS. This service is designed for organizations that want to leverage generative AI while addressing security, governance, and data protection requirements. By using Amazon Bedrock as the foundation, customers can adopt leading large language models within their own AWS environment without exposing internal data outside their controlled infrastructure.
A key feature of this service is the implementation of Retrieval-Augmented Generation (RAG), which enables generative AI applications to reference internal documents such as manuals, guidelines, and policies. This allows more accurate and context-aware responses that reflect company-specific knowledge. The service also supports secure API-based integrations with existing enterprise systems, making it possible to extend generative AI capabilities to business workflows such as internal inquiries and reporting processes.
This offering relates to AWS services including Amazon Bedrock and other AWS infrastructure components used for secure networking, access control, and logging. CRESCO supports the entire lifecycle—from requirements assessment and architecture design to environment setup, user enablement, and optional operational support—helping customers efficiently and safely adopt generative AI as part of their cloud strategy on AWS.
Highlights
- Secure, customer-dedicated generative AI environment on AWS, designed with enterprise-grade security, access control, and governance in mind, leveraging Amazon Bedrock.generative AI adoption.
- Retrieval-Augmented Generation (RAG) enables generative AI to safely reference internal documents and knowledge, improving accuracy for internal search and inquiry use cases.
- End-to-end professional service covering requirements definition, architecture design, environment setup, and enablement to support scalable and sustainable generative AI adoption.
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Please reach out to sales@cresco.co.jp