Launched this week
Not another AI image tool. Miora is an Agentic Creative Studio with Memory. Bring one idea, generate multimodal assets on one editable canvas, turn auto-built memory into a reusable Skill, then create more, always true to your taste. One person, a whole creative studio.
What formats can users export for image, video, UI, and 3D assets?
Miora
@tristan_huang Great question, Tristan! Yes, all of those are completely covered. Our goal is to make sure your generated assets drop seamlessly into your team's existing workflows.
You can export images in standard formats like PNG, JPG, WEBP and SVG. For video, we support MP4, MOV, WEBM and GIF. UI assets can be exported as HTML files, and 3D models can be exported in industry standards like OBJ. You can essentially take the entire campaign pack directly from our canvas and plug it straight into your final production tools.
Gro
I can see product designers using this to align marketing visuals with the UI language of a new feature.
Miora
@lily_liu8 Exactly. One of the early use cases we kept seeing was teams trying to make sure the product UI and the launch visuals felt like they belonged to the same story.
Turns out consistency is easy to say and surprisingly hard to maintain
For event marketing, one brief could become stage graphics, social assets, badges, 3D booth concepts, and recap visuals.
For me, other products require a series of preparations each time a project is recreated, and it's necessary to maintain the style without any changes in every step. miora helped me solve this problem!
I can see a small brand team using this to turn one launch brief into key visuals, social cuts, landing-page concepts, and merch.
Congrats @sherina_chen @liziyang ! "Executor to director" is a good way to name the shift since most AI creative tools still make you feel like you're operating the machine and not directing it
Pokecut
The promise of one brief becoming a whole world is compelling, but the editing layer is what makes it credible. Generating more assets is easy; keeping them coherent while accepting precise feedback is the harder problem.
Miora
@anthony_cai The first version is usually the easy victory lap.
The real test is whether the system still knows what it's making after ten rounds of "make this a little warmer" and "move that slightly to the left."