Today we're excited to release our first confidential compute (TEE) models on PPQ! These models verifiably show that neither we (PPQ) nor our AI provider can see the content of your queries.
This is ...
TEEs feel like the right foundation here — you can't have agents worth trusting if the operator has a read on every query. The threat model shifts from "trust the company's privacy policy" to "trust the math," which is a meaningful upgrade.
Curious what model families you're running inside the enclave, and how the latency overhead compares to non-confidential compute at the same tier. That tradeoff is the thing that'll determine how widely this gets adopted.
Curious what model families you're running inside the enclave, and how the latency overhead compares to non-confidential compute at the same tier. That tradeoff is the thing that'll determine how widely this gets adopted.
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