Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
AI Foundations provides a comprehensive platform for teams to build and deploy production-grade generative AI applications rapidly on AWS, built on Amazon Bedrock to deliver a structured, secure, and scalable environment for AI workloads. We begin with a full-day workshop to uncover your business and technical requirements, discuss your AI value proposition, and create a high-level AI solution design.
During this collaborative session, we define privacy and security considerations including Amazon Bedrock Guardrails and content filters, architect multi-tenancy approaches, explore different foundation model choices and external data sources using Retrieval Augmented Generation (RAG) with Amazon Bedrock Knowledge Bases.
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Following the workshop, we'll get hands-on with your team to build a proof-of-concept or an MVP with production-ready infrastructure. We implement complete data and model pipeline integration with vector storage and search capabilities, knowledge retrieval and augmentation patterns, document processing workflows, and model deployment strategies.
Highlights
Highlighted by the publisher on AWS Marketplace.
Rapid AI Application Platform: Build and deploy production-grade AI applications quickly on Amazon Bedrock with secure infrastructure, automated scaling, cost monitoring, and optimised service selection from day one
AI Strategy Workshop: Full-day workshop to define your AI solution design, AI value proposition, security with Amazon Bedrock Guardrails, multi-tenancy architecture, model selection, RAG implementation with Knowledge Bases, and output validation strategies
Production-Ready Implementation: Engineering to build PoC or MVP with complete data pipelines, AI Agents, prompt management, cross-region inference, monitoring dashboards, cost tracking, and hands-on training
Agent build and provenance
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The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.
Sources
Linked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
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