Private AI, built in your AWS account.
VaniCloud designs and builds AI systems that answer questions from your own data — documents, records, programs — without any of it leaving your cloud. From the apps your users touch to the model that reads your data, one team builds it end to end.
Public AI wasn't built for sensitive data
Your data leaves the building
Every prompt to a public chatbot sends your content to someone else's servers.
Generic models don't know your world
Public AI wasn't built on your policies, your programs, your case history.
Priced for enterprises
Per-seat subscriptions assume heavy, uniform usage. Most teams overpay.
From your apps to your data to the answer
Apps & admin console
Native and web apps for your users, plus an admin console for staff to manage records, run reports, and drive AWS operations — no AWS console required.
Ingestion & backend
Pipelines that pull from your databases, document stores, and S3 into a governed data lake.
Privacy layer
PII is pseudonymized at ingest, so users and the model work against de-identified data.
AI layer
Retrieval-augmented generation on Amazon Bedrock — chatbot and MCP, cited answers, from your content only.
What we built for a national patient-advocacy nonprofit
A private, in-account AI platform — de-identified data lake, a retrieval-augmented assistant on Amazon Bedrock, a role-based admin portal — meeting a need no public AI tool could safely serve.
Zero PII exposure by design
Identifiers stripped at ingest; sensitive data queried without touching personal information.
~90% lower infrastructure cost
Versus a comparable managed setup, through a serverless, pay-for-use architecture.
Multi-region disaster recovery
Full stack reproduced from infrastructure-as-code and kept in daily sync.
Also from VaniCloud
Before the AI work, many clients come to us for an AWS Well-Architected review — a fixed-scope look at security, cost, reliability, and operations, delivered as a report you can act on. It's often how an engagement starts.
We also do cloud migrations, DevOps and CI/CD, and troubleshooting for teams without a dedicated cloud engineer.
Let's talk about your data.
Tell us what you're working with. We'll tell you what's possible.