Graded D on resilience. In Vannus's assessment it has not disclosed which model it runs — single-point-of-failure risk.
Text-to-video and image-to-video generation (Dream Machine, Ray series) with a hosted API, aimed at short cinematic clips, b-roll and reference-image animation. The privacy policy names Luma AI, Inc., 380 Hamilton Ave, P.O. Box 102, Palo Alto, CA 94301, states the services are hosted in the United States, and states user information is used to train and develop its models; no training opt-out is o
Not disclosed. Luma AI does not publish which model it runs, so this criterion is excluded and the grade rests on what we could verify. We say so rather than guess.
This is a separate question from the grade above. The grade measures resilience — whether the tool endures and whether you could leave it. This measures who can compel your data. A tool can score modestly on one and strongly on the other, and many do.
The vendor's published or catalog-recorded posture — the concrete facts this grade is built from. A full audit verifies each against the vendor's current documentation.
Vannus grades Luma AI against nine dimensions of trust — data sovereignty, training privacy, compliance posture, operational resilience, exit portability, and more. The heaviest criterion asks whether the tool builds its own AI or resells someone else's model; where the vendor discloses it, the grade cites the vendor's own documentation. No paid placements — scoring is walled off from affiliate revenue. See the methodology →