Ojin
Talk to an AI Agent with a real face and voice, in real time
What it does
Human AI Agents have a real face and a real voice, and run live conversation rather than turn-based exchange. Interrupt mid-sentence, trail off, talk over it, and the endpointing holds. Setup is one still photo, a persona and a voice. No rig, no capture session, no script. Two face models behind a single API. Portrait for scale, Presence for expressiveness. Both drop into Pipecat and LiveKit. Try to interrupt it. Most demos cannot survive that, and it is the fastest way to judge this one.
Powering the World's Most Natural AI Agents. Build agents with a face, a voice, and sub-200ms responses that feel human.
Real voice and face, available 24/7. Human, Empathic and Scalable instantly available from a single input image. Built for teams that move fast. Real-time voice, face and conversation at any scale. From one user to millions, without the complexity. Natural lip-sync, micro-expressions, and real-time emotions. The full end-to-end experience. STT, LLM, voice and face bundled, browser-native, ready in minutes. The most lifelike face model available. Maximum expressiveness for experiences that need to truly resonate. Fast, scalable face model. Sub-200ms latency. Plug into any pipeline via WebSocket. Copy-paste simplicity that gets you moving fast. Dive in with confidence, build without friction…from ojin.ai
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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