We built the layer that was missing between banks and LLMs.

Financial institutions are under enormous pressure to adopt AI. Competitors are shipping AI-powered credit analysis, automated risk summaries, and real-time portfolio insights. The teams building those products face a question every compliance officer dreads: "Did any customer SSNs reach OpenAI?"

Most teams answered that question by either avoiding AI altogether or by hoping the problem would not be noticed. Neither answer was sustainable.

We built Vaultex because the missing piece was not a policy — it was a technical control. A proxy layer that intercepts every prompt, removes the personal identifiers, and lets the LLM do what it is actually good at: reasoning over numbers, patterns, and structure. The names and SSNs are noise. The balances, credit scores, and risk flags are signal.

The tokenization is reversible. The same person maps to the same token in every row of your loan book, so your LLM can track {{PERSON_1}} across a portfolio analysis without ever knowing who {{PERSON_1}} is. When the response comes back, only the roles authorized to see real PII get real PII.

Vaultex is open source because we believe infrastructure this important should be auditable. The core is MIT-licensed and always will be. We make money by adding the enterprise tooling that compliance and security teams need on top: extended audit retention, SOC 2 reports, GLBA evidence packs, and dedicated support.

Get in touch

We talk to compliance officers, CISOs, and AI engineers at financial institutions every week. If you are evaluating whether Vaultex fits your stack, we want to hear about your use case.