AI agents that understand your organization, automate your workflows, and answer your team’s questions. Deployed entirely inside your own AWS account.
Every AI platform is built on the same assumption.
Their models run on their servers. Your conversations are logged in their systems. Their retention policies govern your most sensitive information. The more capable the AI, the more of your organization it must ingest — and the more of your organization's intelligence ends up on someone else's infrastructure.
QueryVector is built on the opposite assumption.
Your account. Your boundary. Nothing leaves it.
What infrastructure ownership actually means
The conventional SaaS model
Infrastructure you own and control
Built for how you work.
Organizations
Your compliance team has one question: where does the data go? Nowhere it doesn't already live. Deploy into your own AWS account: your environment, your controls, your posture. Nothing changes except what your team can do.
Domain Experts
You have the expertise. You understand the workflows, the documents, the edge cases. What you need is infrastructure that lets you deploy that expertise as AI, into a client's AWS account, under their control, configured for their specific situation.
Technical Implementers
You need a foundation that holds up, not one you spend months patching. QueryVector is AWS-native throughout, extensible at every layer, and designed to be built on. Deploy in a day. Extend however your client needs.
One platform. Every deployment is entirely your own.
What changes
when it's yours.
Four things that change when AI infrastructure runs in your environment, on your terms.
Your security team stops blocking AI adoption.
Your compliance posture holds.
Your engineers extend the system using AWS they already know.
Your organization moves.
Built for organizations where getting it wrong
is not an option.
Compliance
You cannot send counterparty data to a vendor's servers. The transaction is sensitive. The regulatory exposure is real. QueryVector keeps everything inside your infrastructure.
Legal
Privilege obligations make third-party AI processing impossible. Client communications, case strategy, document review — none of it can leave the firm. With QueryVector, it doesn't.
Healthcare
HIPAA posture collapses the moment patient data enters a vendor's pipeline. The question isn't whether AI can help. It's how to use it without creating a breach.
Financial Services
Regulators expect data residency and audit trails your compliance team can actually produce. Vendor attestations are not audit trails. Logs in your own infrastructure are.
Government
Data classification requirements make commercial AI platforms non-starters. The capability exists. The architecture has never been right. Until now.
These are the organizations QueryVector was built for. Not as an afterthought. As the entire premise.
Every deployment starts with a conversation.
Getting this right early is not an advantage you can buy later.
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