Your Intelligence.
Your Device.
Every word you generate, every brief you process, every brand pattern Oksana learns — stays on your Mac. Not because we promise it. Because the architecture makes it impossible to send it anywhere else.
Processing that never leaves your Mac.
Every other AI tool sends your content to cloud servers for processing. Oksana runs entirely on Apple's M4 Neural Engine — the dedicated machine learning accelerator built into your Mac. Your briefs, voice patterns, and generated content never touch a network.
- 16-core M4 Neural Engine processes up to 38 TOPS on-device
- Apple Intelligence Foundation Models run locally, not on Apple servers
- Zero network egress — content processing requires no internet connection
- Your brand voice model is stored encrypted on your local machine only
Three guarantees that don't depend on trust.
You shouldn't have to take anyone's word for it. Here's exactly how Oksana makes privacy structurally impossible to violate.
No API calls to external AI services. No content uploaded to training pipelines. Oksana's generation engine exists entirely within your local Apple Intelligence environment.
Post-quantum encryption on every stored asset. ML-KEM-1024 is the NIST-standardized quantum-resistant key encapsulation mechanism — the same standard protecting classified infrastructure.
Your content never trains Oksana's models or anyone else's. The voice model Oksana builds is unique to you — and it exists only in your local environment, not in any shared training set.
Your voice never trains our models. Or anyone else's.
Every cloud AI tool has the same clause buried in its terms: your inputs may be used to improve the service. That's a polite way of saying your brand voice, your strategic content, and your competitive advantage are training data.
Oksana was designed to make that impossible. Not to promise it won't happen — but to make the architecture incapable of doing it. There is no server to send content to. There is no training pipeline to feed. There is no company database storing your brand patterns.
This is what privacy-first by architecture looks like: not a policy you have to trust, but a design you can verify.
Privacy isn't a feature.
It's the foundation.
Early access is limited. Your intelligence, on your device, always.