We train, evaluate & deploy the models behind personal AI apps.
Megaphone builds the specialized LLMs that make AI characters actually feel real: remembering you, talking to you, and reaching out first.
An end-to-end lab for personal AI.
Personal AI lives and dies on the model. Generic chatbots break character, forget the plot, and kill the moment. We build models specifically for personal AI, tuned for persona, memory, and long, ongoing conversations instead of one-off Q&A.
Tuned for persona, memory, and long conversations, not generic question-answering.
We test staying in character, recalling context, and responding at human speed.
We run the serving and reliability layer, so character replies arrive instantly.
Made by our models.
Everything below is generated by our own stack: a trained flywheel that keeps getting better over time, on a closed proprietary dataset built in-house. One model, every style a character could need: inked manga, western comic, photoreal, cinematic, fantasy, webtoon.
Marin's eyes light up like fireworks as she scrambles to her bag, pulling out a carefully folded piece of paper with both hands. She unfolds it slowly, almost ceremoniously, and holds it up for you to see.
It's a concept sketch: an intricate female warrior cosplayer in flowing silver armor with crimson accents, holding a staff that glows faintly at the tip. The pose is dynamic, mid-motion, like she just landed after leaping into battle.
"So... this is my next project! She's from this new fantasy manga called Luna's Oath. Have you read it?"
She leans closer, clearly excited but also slightly nervous, the way someone feels when sharing something deeply personal.
Text models that respond in half a second, first token to your screen.
Every image above came out of our image model in under five seconds. Fast enough to generate mid-conversation.
Trained on a closed, proprietary dataset made by us, not scraped from the open web.
We run it ourselves.
Our models run on our own GPUs, tuned by us, measured on real production traffic instead of vendor benchmarks. That is what keeps a character fast at 3am and keeps the economics working as the conversation count grows.
The first words land in well under a second, so a character never feels like it is buffering.
Serving is sized so a full house of simultaneous conversations still answers at conversation speed.
Running our own stack costs several times less per image than the hosted providers we benchmarked against.
What a personal AI should do.
The whole point of personal AI is a conversation that feels less like a tool, more like someone who's glad you showed up.
From comforting older siblings to chaotic anime rivals, every character stays in character.
Live voice calls where a character talks back in their own voice, in real time.
Visual-novel adventures where the model reacts to every choice you make.
Long conversations stay coherent and personal. The more you talk, the more they know you.
Design an original character (a look, a voice, a personality) ready to go.
Your characters are a tap away, and sometimes they reach out to you first.
From model to moment.
What a conversation feels like when the model is doing its job.
Each character wears a model tuned for their specific persona, backstory, and tone.
The model answers instantly, in character, remembering everything you've said.
Switch to a voice call or launch an interactive story without losing the thread.
Long conversations stay coherent, personal, and consistent, conversation after conversation.
We are Megaphone.
A small model lab obsessed with one question: how do you make AI feel less like software and more like a friend who's actually there? We train, evaluate, and deploy models for personal AI apps, and our first flagship is just the beginning.