Our Technology
Genpio trained its own avatar and voice models in house and serves them on its own inference stack, so latency, cost, and quality are ours to tune - not a vendor's. Genpio Voices is a fine-tune of the Apache-2.0 OmniVoice architecture on Qwen3-0.6B; Genpio owns the resulting weights outright, with full commercial rights, and runs them on its own GPUs. The training corpora are named publicly too: OpenSLR SLR94, SLR37, SLR41-44, SLR63-80, SLR86, SLR129 and SLR33, plus Google FLEURS, more than 60 languages trained together in one run. A comment becomes a sale in under a second, in 85+ languages, with 700+ localized voices, voice cloning from a short sample, 99.9% uptime, and hundreds of concurrent streams driven by one model.
We didn't wire up someone else's AI. We trained the model.
Most AI livestream tools are a thin wrapper around an API they rent. Genpio's avatar and voice models are our own, trained in house and served on our own inference stack. That is why we can answer in under a second, clone a voice from a short sample, and run hundreds of live streams at once from the same model.
Stats
Reaction to live comments
Native localized voices
Languages, in real time
Concurrent streams, one model
100s
Rented AI has a ceiling. Ours doesn't.
When the model belongs to someone else, so do your limits. Every line below is the difference between calling an API and owning the weights.
Wrapper tools
Genpio
Rows
Cost
Pay a vendor by the minute, and watch the bill grow with every stream
We own the inference, so adding streams doesn't multiply the cost
Latency
Latency is whatever the vendor hands you that day
We tune latency ourselves, down to the frame
Quality
A quality bug is a support ticket and a long wait
A quality bug is something we fix in the model
Voice
The same stock voice your competitor is using
Your voice, cloned by our model from a short sample
Scale
One session at a time, one rate limit away from dark
One model driving hundreds of concurrent streams
A comment becomes a sale in under a second
Four stages, one loop, running for as long as the stream stays live.
under 1s, end to end
Listen
Comments, questions, and reactions arrive from every connected platform at once.
Understand
Intent, sentiment, and buying signals are read against your catalog, your pricing, and your brand voice.
Speak
Our voice model answers in your cloned voice, in the language the viewer is actually typing in.
Show
Our avatar model renders the reply lip-synced frame by frame and pushes it live.
Built by us, so it bends to you
Your face, rendered live.
Clone your likeness or start from a branded host. Lip-sync is generated frame by frame, not stitched from clips, so the mouth follows the words instead of chasing them.
Your voice, from a short sample.
A cloned voice that keeps your cadence and your warmth. It reads a price, a name, and a punchline like a person would.
Knows your catalog cold.
Import products, pricing, FAQs, and selling points. The host answers accurately and stays on message, even when a viewer pushes.
Sells in 85+ languages.
Over 700 localized voices with native cadence per market, not a translation read aloud. Open a new region the same day you decide to.
Every platform, at the same time.
TikTok, YouTube, Shopee, Instagram, and more, live in parallel from one workspace.
One model. Hundreds of streams.
The same model drives every stream at once, around the clock, which is what keeps running them affordable.
More than 60 languages, one training run.
Anyone can say they trained their own model. Here is what actually went into ours, named with corpus ids, so you can check it at the source.
Everything trains together in a single run, never one after another. Sequential passes overwrite each other until the model speaks only whatever it saw last. One mix, one run, one model. Every corpus id above is OpenSLR's own, so none of this has to be taken on trust. The full voice catalogue serves more languages still.
Corpora
Mls
The speaker engine of the run. It adds no new language, since the model already spoke all eight, but thousands of distinct readers is what teaches a voice to stay itself instead of drifting toward an average.
Multilingual LibriSpeech (SLR94)
English, German, Dutch, French, Italian, Spanish, Portuguese, Polish
The cleanest audio in the mix, recorded in studio conditions rather than scraped from the web. This is the block that teaches languages outright rather than polishing ones already known.
Google studio corpora (SLR37, 41-44, 63-80)
Hindi, Tamil, Telugu, Malayalam, Marathi, Kannada, Gujarati, Punjabi, Bengali, Javanese, Khmer, Nepali
Bible
The highest value per hour anywhere in the mix. Twi was almost unknown to the model beforehand, and this brings audiobook-grade fidelity across West African languages that most engines never attempt.
BibleTTS (SLR129)
Twi (Asante and Akuapem), Hausa, Lingala, Yoruba
Aishell
A voice pass on Mandarin, not a language lesson. The model was already fluent, so 400 speakers of clean indoor recording changes how it sounds rather than what it knows.
AISHELL-1 (SLR33)
Mandarin Chinese
African
The smallest corpus here and one of the most useful. Afrikaans and Tswana sat near the bottom of what the model knew, so every hour moves further than an hour of audiobook English does.
African languages TTS (SLR86)
Afrikaans, Tswana, Xhosa
Fleurs
The breadth layer. Roughly ten hours each of parallel read speech, and the reason the run reaches past sixty languages instead of the twenty-eight the studio corpora cover between them.
Google FLEURS
102 languages, spanning and extending all of the above
Fine-tuned from OmniVoice. The weights are ours.
Genpio Voices is a fine-tune of OmniVoice, an audio-codebook speech architecture built on the Qwen3-0.6B language model. Both are Apache-2.0, and we say so rather than implying we invented the architecture. What is ours is the part that matters commercially: we chose the corpora, built the mix, ran the training, and own the resulting weights outright, with every right to use them commercially and no licence to renegotiate with anyone. They run on our own GPUs and are never handed to a third-party API.
Our weights
Stats
public corpora
hours pooled
languages
training run
Roles
Everything
Teaches new languages
Adds speakers
Voice quality pass
Adds breadth
capped
Bar length is logarithmic. Figures are raw hours available, before per-language caps.
Corpus size is not training share. Multilingual LibriSpeech brings roughly 1,250 times more audio than the African corpus, and per-language caps flatten that on purpose, so the languages actually being taught are never drowned out by the ones already fluent.
Set your stream up by asking an AI assistant.
Genpio speaks MCP, the protocol AI clients use to reach outside tools. Connect it once and your assistant can open your account, size your plan, write your scripts and fill your product library, so your first stream starts as a conversation instead of an afternoon of setup.
- Point your client at Genpio — One endpoint, no API key to create. Paste it into ChatGPT, Claude, Codex or whichever client you already use.
- Approve it in your browser — The assistant hands you a link and a short code. You sign in on our own page and approve it there. It never sees your password.
- Ask for what you need — An account, the right plan, tonight’s script, products read straight from a shop link. It does the setup while you talk.
Chat
Any MCP client
Set Genpio up for tonight and add these three products.
Open this link and approve code 4F2C-91KD, then I will take care of the rest.
- Account connected
- Plan sized, checkout link ready
- Opening script written and saved
- 3 products imported from your links
- It never sees your password — Signing in happens on our page, in your own browser.
- It never holds your credentials — Connecting returns a handle that means nothing outside Genpio.
- It never charges your card — It can hand you a checkout link. You complete the payment yourself, on the secure checkout page.
Infrastructure you can count on
Enterprise-grade security
Your data, your voice, your brand, protected with encryption, access controls, and consent-based cloning.
99.9% uptime
Global edge delivery keeps latency low and streams up when revenue depends on it.
Open API and integrations
Wire Genpio into your CRM, OMS, analytics, and storefront. Full API for custom workflows.
Dedicated support
Priority onboarding, training, and an account team that owns the outcome with you.