VaultChat is a conversational assistant for quick questions and drafting; VaultDelphi runs up to four AI models independently on the same input and converges them with the Delphi method for high-stakes answers. Both cloak every confidential value on your computer first, so the models reason over cloaks and never receive a real value.
VaultChat: frontier AI for everyday work
VaultChat is the fast lane. Ask a question, paste a passage, iterate on a draft — the way you would with any AI chat assistant. The difference is that before your message ever leaves the browser, Cloaking replaces every confidential value with a meaning-preserving cloak. The model sees a coherent conversation; it just never learns the real names, numbers or NDA-bound terms behind it.
- Quick answers on your own material, at conversational speed.
- Drafting and rewriting in-thread, with real values cloaked end to end.
- Truth on your screen only — cloaks are resolved back to real values locally, after the model responds. We never see them.
VaultDelphi: consensus when the answer has to hold up
Any single model can be confidently wrong. For the questions where that matters — a contested methodological choice, a regulatory judgment, a number you're going to defend to a client or a payer — VaultDelphi asks up to four models independently, then reconciles their answers using the Delphi method, the same structured technique used to converge panels of human experts.
Why multi-model matters
- Independence — genuinely different frontier models, not several runs of one, so agreement means something.
- Convergence, not a vote — the Delphi process surfaces where models disagree and why, rather than averaging away the signal.
- Defensible output — a more robust answer you can stand behind, with the reasoning visible.
And every one of those models — one in VaultChat, up to four in VaultDelphi — receives only cloaks. The confidentiality guarantee doesn't weaken because you asked more models; it holds for all of them.
The cloak underneath
Every Untraceable tool runs on the same patent-pending cloaking engine. Confidential values — PII, PHI, NDA-bound and trade-secret data — are replaced with informative, meaning-preserving cloaks on your own computer, before any AI model sees the text. The model reasons over cloaks and never receives the real value; the truth is re-inserted only on your screen, after the model responds. That is what makes every product on this page safe to point at data you can't share. How cloaking works →
Frequently asked questions
What is VaultChat?
VaultChat is a conversational AI assistant for quick questions and drafting on your own documents. Every confidential value is cloaked on your computer before the message is sent, so you get fast answers from frontier AI without exposing a thing. The truth is re-inserted only on your screen, after the model responds.
What is VaultDelphi?
VaultDelphi is a multi-model consensus mode for high-stakes questions. Up to four AI models answer independently on the same cloaked input, then converge using the Delphi method — a structured process for reconciling expert opinions — to produce a more robust, defensible answer than any single model gives alone.
When should I use VaultDelphi instead of VaultChat?
Use VaultChat for speed — quick questions, iterative drafting, everyday work. Use VaultDelphi when the answer has to hold up: a contested methodological choice, a regulatory judgment call, anything where you want several frontier models to independently agree before you rely on it. Both run entirely on cloaked data.
Does the AI ever see my real data in VaultChat or VaultDelphi?
Never. Cloaking runs client-side before any message leaves your browser, so every model — one in VaultChat, up to four in VaultDelphi — receives only cloaks. Your files and real values stay in your own environment, and every submission is auditable, recording cloaks and run IDs but never a real value.
Which models does VaultDelphi use?
VaultDelphi is model-agnostic and routes through residency-proof APIs across premium and standard frontier models, so consensus is drawn from genuinely independent systems rather than several versions of one. Residency is honored with no silent fallback across regions.
Work with AI on data you can't share with it.
Untraceable cloaks every confidential value on your computer before any AI model sees the text — the model never receives the secret at all.