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README.md

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-title: README
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+title: IOTEverythin
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-Edit this `README.md` markdown file to author your organization card.
+# IOTEverythin
+
+We build compact, production-oriented text-to-speech voices for conversational AI, with a
+focus on Indian-English for customer-support and website voice assistants.
+
+## The Roxi TTS line
+
+A family of Indian-English voices fine-tuned from the open MOSS-TTS models. Two tiers: the
+0.1B models run in real time for live agents, and the 1.7B model is for pre-rendered or
+premium-quality audio.
+
+| Model | Base | Best for |
+|---|---|---|
+| roxi-tts-v3.1-1.7b | MOSS-TTS-Local 1.7B | Highest quality and intelligibility, offline or premium |
+| roxi-tts-v3.1 | MOSS-TTS-Nano 0.1B | Real-time, current best small voice |
+| roxi-tts-v3 | MOSS-TTS-Nano 0.1B | Earlier single-speaker voice |
+| roxi-tts-v2 | MOSS-TTS-Nano 0.1B | First Roxi release |
+| roxi-tts-v2-onnx | ONNX build of v2 | CPU inference, no transformers dependency |
+| voxi-tts | MOSS-TTS-Nano 0.1B | Original prototype voice |
+
+## Focus
+
+- Indian-English accent, natural and telephony-aware
+- Small and fast, built on commercially permissive Apache-2.0 base models
+- Single-speaker branded voices for support calls and website assistants
+
+## Attribution
+
+Models are built on MOSS-TTS (Apache-2.0). Training data includes the IIT-Madras Indic TTS
+English set, used with the required copyright notice shown on each model card.