Looking for 20 MetaHuman creators to test our new import feature (free import + free credits)

Hi everyone,

I’m Ruslan, founder of RAVATAR. We build a platform that brings AI avatars to life. We’re not 3D specialists. Our strength is the infrastructure: streaming, LLMs, voices, AI agents, deployment and scaling. You create the character. We make it talk.

We’ve just opened a new feature: you can bring your own MetaHuman and turn it into a live AI avatar that people can talk to.

The feature is new and we want to make it great. So we’re looking for early testers from this community.

What early testers get

  • Free import. Our team integrates your MetaHuman at no cost.
  • Free credits to test your avatar properly.
  • Direct line to our team. Your feedback goes straight to the developers and shapes the feature.
  • A talking version of your work. Good for your portfolio, your clients or your own project.

We’re keeping the first group to 20 creators so we can give each tester proper attention.

What your MetaHuman can do

  • Hold live conversations, powered by the LLM of your choice
  • Speak with a custom voice through ElevenLabs or another TTS service
  • Connect to external AI agents with your own logic
  • Run as a website chat widget, on kiosks, in mobile apps, on holographic displays, or through our API

How to join

  1. Upload the MetaHuman Character asset, or a ZIP of the assembled folder, to cloud storage such as Google Drive. Turn on link sharing.
  2. In RAVATAR Genesis Studio, create a “New Project”, then go to “AVATARS” menu on the left, scroll down, and click “Create your own”, choose “Your MetaHuman” and paste the link.

  1. In the description, add “Early tester” and tell us about your character.

We’ll review it and reply by email.

Requirements in short

Standard MetaHuman skeleton. ARKit face rig. Groom hair. Clean skin weights. Body preset Medium / Average for male characters, Tall / Underweight for female characters.

Full guide: Bring Your Own MetaHuman | AI Avatar Platform

What we ask in return is simple: try it, break it, and tell us what went wrong. Questions are welcome here.