Sonexis - Real conversational voice data for AI in production

Sonexis builds real conversational voice datasets for AI systems. Most models are trained on clean, synthetic audio. That works in demos but breaks in production. We create structured, consented conversations across Indian English, Hindi, Hinglish, Punjabi, and Marwadi, capturing interruptions, code-switching, accents, and context shifts. Built for teams training and evaluating voice AI for real world use

We started Sonexis after seeing the same issue again and again. Voice models perform well in demos, but break once you put them into real conversations. Not because of the model, but because of the data. Most datasets are clean, single speaker, and scripted. Real conversations are none of that. People interrupt, switch languages mid sentence, change context, and speak in ways that don’t show up in training data. We’re building structured, consented conversational datasets that capture this properly across Indian English, Hindi, Hinglish, Punjabi, and Marwadi. Curious to hear how others are handling this, especially if you’ve seen models struggle outside controlled environments

Sonexis - Real conversational voice data for AI in production

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