Pretense

No foundation model. Pretense does not run one, so this criterion does not apply and is excluded from the grade rather than counted against it. A local proxy that masks identifiers before a prompt reaches an AI coding tool and restores them on the way back. The masking is deterministic hashing, not inference, and the model that answers is whichever one the customer already uses. Reviewed from the vendor’s own documentation: pretense.ai ↗ If that is out of date, tell us at right of reply.

Training and retention posture varies by plan. What we publish above describes the vendor’s default plan; enterprise, team and API agreements frequently differ, often materially, and a contract can override the published default entirely. Check your own plan and contract before relying on this row.

On U.S. CLOUD Act reach specifically: the statute reaches a provider subject to U.S. jurisdiction over data in its possession, custody or control. Corporate control is a strong indicator of that and it is what we can evidence from published documents — but it is not the whole test. A company founded outside the U.S. can still contract through a U.S. entity or run substantial U.S. operations. Treat this as a starting point for your own review, not a legal determination, and take advice on anything that matters.

Vannus records, from the vendor's own published documents, the legal entity a customer contracts with, the country that entity sits in, and the governing law of its terms — and whether the vendor runs its own model or resells someone else's. Each finding is quoted to its source and dated, or marked not disclosed where the vendor publishes nothing. No paid placements — affiliate status is walled off from the record, enforced by a test in the build. See the methodology →