Owned AI for startups on Amazon Bedrock
Your investors and customers need proof that proprietary data stays in your cloud. The AI Cortex deploys Bedrock RAG pipelines, ingestion, and guardrails to your AWS account with fixed scope and fixed price.
Why startups choose owned RAG over AI wrappers
Third-party AI tools create vendor lock-in and data-residency questions in diligence. The AI Cortex ingests your documents, indexes them in your vector store, and serves answers through a secure API and optional React UI. IAM boundaries and hallucination safeguards keep proprietary data out of public model training. Smart Trady is our live example of Core Engine plus AI Cortex combined.
Which product fits your stage
| Stage | Product | Outcome |
|---|---|---|
| Fundraising / pre-revenue | The Investor Demo | Crash-proof interactive pitch in real React code |
| First customers / revenue | The Core Engine | Serverless SaaS with auth, payments, and admin in your AWS account |
| Owned enterprise AI | The AI Cortex | Bedrock RAG pipelines and guardrails in your AWS account |
When Bedrock RAG beats a third-party wrapper
Wrappers are fast to demo but hard to defend in enterprise security reviews. Buyers ask where embeddings live, who can prompt the model, and whether training data leaks across tenants.
The AI Cortex keeps ingestion, vector search, and inference inside your AWS account on Bedrock. You control IAM, regions, and retention policies suited to your sector.
Data residency questions investors ask
AI-native startups hear the same diligence themes: document storage, model provider, and audit trail for answers shown to users. Owned RAG gives concrete answers tied to your cloud account.
Pair this page with our Core Engine versus AI Cortex resource if you are unsure whether you need SaaS foundation first or AI-only scope.