Safety & Trust

Technology should make people feel more in control.

Trust is not a feature to add at the end. It is a practice that shapes what we build, what we ask of people, and the decisions our systems are never allowed to make alone.

Our commitment

Helpful, clear,
and accountable.

MMind products will work with personal context, relationships, and real-world decisions. That makes care, restraint, and transparency essential—not optional.

The principles we build from

Care takes
more than good intent.

01

People decide

AI can suggest, draft, organize, and coordinate. Meaningful actions should remain understandable and confirmable by the person involved.

02

Consent comes first

Personal memory and shared context should be chosen, visible, and controllable—not quietly assumed.

03

Limits stay visible

We will be clear about AI involvement, uncertainty, and where a system should not be relied on.

04

Privacy is practical

We will collect only what is useful, safeguard it carefully, and give people meaningful choices over their information.

05

People can step in

For sensitive moments, safety concerns, and questions that need judgment, there should be a path to human support and review.

In plain language

We do not want people to depend on MMind for their humanity. We want MMind to help people spend more of life with one another.

A continuing responsibility

Trust is something
we keep earning.

Our standards will continue to evolve as products take shape, people use them, and we learn where better safeguards are needed. We will treat safety as an ongoing responsibility, not a completed checklist.

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