IOTEverythin

We build small, production-oriented AI that runs where the data lives. Two independent product lines: compact Indian-English text-to-speech for conversational agents, and grounded question answering that quotes your documents instead of hallucinating.

Voice / Text-to-Speech

Compact, production-oriented text-to-speech voices for conversational AI, with a focus on Indian-English for customer-support and website voice assistants.

VozVox

These voices power VozVox, our voice agent platform for AI-powered conversational agents across phone and web, with natural-sounding speech.

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.

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.

Grounded QA

grounded-pointer-qa is an extractive question-answering model that cannot hallucinate by construction: it only quotes verbatim spans from your documents, abstains when the answer is not there, and decodes deterministically. Knowledge is hot-swappable: point it at a folder of .txt/.md/.pdf files, with no retraining.

Built on roberta-base (125M), it runs in milliseconds on consumer hardware: 74.6 EM on SQuAD v2 in a full-retrieval setting, and 91.7% answer precision in its "right or silent" mode. A natural grounding layer for support agents that must quote policy documents instead of improvising.

Focus: grounded, verifiable answers; every answer a verbatim quote with a source, or an honest abstention; local-first and deterministic.