AI Application Development & Deployment on AWS
Software Sushi · Software Development
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
We turn AI ideas into production applications running on AWS. Our team builds GenAI products, retrieval-augmented generation (RAG) systems, multi-agent workflows, and LLM-backed SaaS using Amazon Bedrock, SageMaker, OpenSearch, Kendra, and a serverless AWS backend (Lambda, API Gateway, AppSync, DynamoDB, S3).
Engagements typically cover discovery and architecture, model selection and prompt/agent design, retrieval and data pipelines, application UX (web and mobile), evaluation harnesses, guardrails and safety filters, observability, and cost-tuned production deployment with CI/CD. We hand off documented infrastructure-as-code, runbooks, and a roadmap for ongoing iteration.
Highlights
Highlighted by the publisher on AWS Marketplace.
Production-ready AI apps on Amazon Bedrock and SageMaker — not just demos
End-to-end build: architecture, RAG/agents, UX, evaluation, deployment, and observability
Cost-optimized serverless AWS backend with IaC, CI/CD, guardrails, and handoff documentation
Agent build and provenance
See the full provenance
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.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.

