AI FoundryCamp helps startups and businesses become AWS-funding-ready, define measurable AI products, build with RAG, GenAI and Agentic AI, deploy a working pilot, and create evidence for the next stage of growth.
Start with a focused 15–30 minute discovery session in a small group of approximately five participants. We work with you to identify meaningful business problems from your own industry and professional experience—then turn the strongest opportunity into an AI project plan that can be positioned for applicable AWS funding or credits.
You do not need to arrive with an AI idea. Start with a business problem you understand. We help structure the opportunity around users, business value, measurable KPIs, project scope, cloud architecture and an implementation roadmap.
For PNP-BAI Product Type implementations, we explain the three complementary AI layers using a memorable house analogy:
Brings trusted enterprise and industry knowledge into the product so AI can work with grounded, relevant context.
KNOWLEDGE LAYERTransforms context into useful intelligence, summaries, recommendations, content and structured business outputs.
INTELLIGENCE LAYERCoordinates tools, workflows, actions and human approvals so intelligence can move into controlled execution.
ACTION LAYERUse your own architecture, cloud services, development process and preferred AI tools to move from prototype through testing and production.
Walk through a Business Atomic Intelligence Product Type using RAG AI + GenAI + Agentic AI to turn trusted knowledge into governed business action.
Use the Enterprise AI Architecture Platform for a more governed path with architecture, model/tool orchestration, security, approvals, testing, deployment and evidence.
Participants progress through a common foundation, then choose either a reusable Business Atomic Intelligence product path or a custom AI-product path.
Company, team, AWS account, domain and business problem.
Prepare company and project for applicable AWS startup credit programs.
AWS environment, source repository, security baseline and initial architecture.
Industry → line of business → problem → users → measurable KPIs.
PNP-BAI Business Product or a custom AI product.
EAAP-governed workflow or assisted development with modern AI engineering tools.
Deploy a bounded MVP with measurable business outcomes.
Architecture, security, testing, usage, cost and value evidence.
Use demonstrated progress to pursue higher-tier credits or other funding where eligible.
Production governance, agents, integrations, observability and commercialization.
For teams with a business problem that do not want to invent an AI architecture from scratch.
For teams pursuing a differentiated AI solution in cybersecurity, healthcare, finance, manufacturing, logistics and other sectors.
Organizations have different starting points and needs for their AI initiatives. Choose the development path that best matches your current maturity, desired control and governance requirements.
Projects may use EAAP for governed orchestration or a carefully controlled toolchain that can include Amazon Bedrock, Kiro, Codex, ChatGPT, Claude, Gemini and other engineering tools selected for the project.
Model-assisted analysis, content generation, structured decisions and application features.
Retrieve trusted enterprise knowledge and provide relevant context to AI applications.
Orchestrate tools and workflows with permissions, observability and human approval where needed.
AWS currently offers startup credits through AWS Activate. AI FoundryCamp can help a participant organize the technical and business evidence needed for an application, but AWS alone determines eligibility and approval.
Important: AI FoundryCamp is an independent service and is not AWS or an AWS credit-granting entity. No funding or credit amount is guaranteed. Program terms, eligibility and amounts can change.
Functional website, business identity, founder/team information and startup narrative.
AWS account, cloud architecture, cost assumptions and initial service selection.
Business problem, target users, MVP, AI architecture and measurable KPIs.
Deployment, usage, security, testing, cloud cost and business-value evidence.
AI FoundryCamp is a funding-to-product accelerator for startups, founders and business teams. We combine business-value discovery, cloud funding readiness, reusable AI product patterns and modern AI engineering so participants can progress from an idea to a governed, measurable pilot and a credible path to scale.
Every engagement starts with a business problem and measurable outcomes—not a model looking for a use case.
Architecture, tests, security, costs and KPI results are treated as first-class deliverables.
Teams can progress from rapid experimentation to controlled enterprise delivery through EAAP-style governance.
Tell us your company, industry, business problem and current AWS/startup stage.