Privacy-First Video Conferencing

Privacy in video conferencing shouldn’t be a premium feature. It should be the foundation everything else is built on. At Hyper, we’ve made architectural decisions from day one to ensure your meetings remain private — without asking you to give up the features you need.

The problem with “privacy features”

Most platforms treat privacy as a checkbox. They’ll offer end-to-end encryption as an option, but enabling it disables recording, transcription, and breakout rooms. The implicit message: you can have privacy or functionality, but not both.

This is a false trade-off created by architectures that were never designed with privacy in mind. When your platform needs to see meeting content to provide features, encryption becomes an obstacle rather than a foundation.

Our approach

Hyper’s architecture is built around a simple principle: the server should never need access to unencrypted meeting content.

End-to-end encryption with MLS

We use the Messaging Layer Security (MLS) protocol for key management. MLS provides:

• Forward secrecy — compromising a key doesn’t expose past conversations
• Post-compromise security — the system self-heals after a compromise
• Scalable group encryption — efficient key management even in large meetings

Every participant in a Hyper meeting holds a leaf key in a ratchet tree. When someone joins or leaves, the tree is updated efficiently without requiring a full re-key of all participants.

On-device intelligence

The reason most platforms can’t offer encryption alongside AI features is that their AI runs in the cloud, on unencrypted media streams. We took a different path.

Hyper’s transcription engine runs directly on your device using optimized transformer models. This means:

• Real-time transcription works inside encrypted meetings
• Translation happens locally, with no content leaving your machine
• Meeting summaries are generated on-device after the call ends

For devices that lack the compute for local inference, we offer an opt-in cloud processing mode with strict guarantees: stateless inference, no storage, no training, complete deletion after processing.

Trust, but verify

We believe privacy claims should be verifiable, not just marketable. That’s why we’re working toward:

• Open-source client encryption libraries so the community can audit our E2EE implementation
• Reproducible builds so you can verify the binary matches the source
• Transparency reports detailing any data requests we receive

What this means for you

When you use Hyper, your meetings are encrypted by default. You still get transcription, translation, and summaries. You don’t have to choose between privacy and productivity.

That’s not a feature — it’s the way video conferencing should have been built from the start.