AI, without surrendering your data.

A protected execution space where your private data interacts with AI — with zero leakage, full sovereignty, and no opaque agreements.

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The data trust problem

Leaky systems

Today's AI platforms ingest your data with few guarantees about where it goes, who sees it, or how long it persists.

Opaque agreements

Data-sharing terms are dense, unenforceable, and designed to benefit the platform — not the user.

No protected boundaries

There is no standard execution boundary between your private context and the AI that processes it.

Private by design. Agentic by nature.

Privacy-first execution

Data and inference run inside a protected space. Nothing leaves without explicit user consent.

User-controlled boundaries

You define what data is accessible, to which agents, and under what conditions.

Zero-data-leakage architecture

Designed from the ground up so that private data cannot be exfiltrated through model interactions.

No opaque agreements

Clear, enforceable data boundaries replace the unreadable terms that erode user trust today.

Why this matters

Organizations and individuals need AI that works with their most sensitive context — medical records, financial data, proprietary research, personal correspondence. Today, using AI means accepting that your data may be logged, trained on, or exposed. That tradeoff is unnecessary. Computation and data boundaries can be redesigned so that AI serves the user without requiring trust in opaque systems.

Building now

Architecture & core runtime

In progress

MVP

Early summer 2026

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