Safety

Safe AI, from the start.

Safety isn't a layer added at the end. It's part of training, of deployment, and of incident response.

Principles

Four rules that guide every decision.

01

Helpful

Systems should help as many people as possible, in their language, with their context.

02

Honest

We say what we know and what we don't. We cite sources. We acknowledge mistakes.

03

Harmless

We don't enable harm. We evaluate before deploying and monitor afterward.

04

Auditable

We publish evaluations, methods, and results — including the negative ones.

Safety framework

How we build every release.

Four stages we repeat for each model, feature, and deployment.

01

Designed for safety

The safety team participates from the first line of code of every model. Not a reviewer — a co-author.

02

Open evaluation

Before each launch we run 612 tests across 11 categories. Results go in the public report.

03

Gradual rollout

We start with a closed group, then scale by country and plan, monitoring incidents in real time.

04

Incident response

If something fails we detect it in under 15 min and publish a postmortem within 7 days.

Safety is a public commitment or it's nothing. If only we know what we measure, only we can say we passed.
VC
VCorp
Director of safety, VCorp
Resources

Public documentation.

Repository on GitHub

Model cards

Technical card for each model with its scores on the full framework.

Usage policy

What you can and can't do with vMira, and why.

Transparency center

Operational decisions, incident reports, and postmortems.

Work with safety.