Gnani AI, the Bengaluru-based frontier AI company building proprietary foundational models and enterprise agentic AI, today launched Gnani Prisma v3.0, its latest speech-to-text model.

Prisma v3.0 is trained on Indian telephone audio and heavily code-mixed speech. It supports nine Indian languages and Indian English from one model and adds four transcription modes and five controls over how each transcript is written.

In Gnani AI’s evaluation using the official Vistaar scoring protocol, Prisma v3.0 recorded a macro word error rate (WER) of 16.9% across nine Indian languages, against 19.98% for ElevenLabs Scribe v2.

That is about 12% lower, and Prisma v3.0 had the lower WER on each of the seven Vistaar datasets. On Vistaar audio clips longer than three seconds, automatic language identification (Auto-LID) named the spoken language correctly more than 98% of the time.

Prisma v3.0 builds on Gnani AI’s speech models, which power 50 million voice interactions every day. It is available now through Gnani’s developer API over REST, WebSocket streaming and batch.

“Indian business today runs on phone calls, and those calls move between languages within a single sentence,” said Ganesh Gopalan, Co-founder and CEO, Gnani AI. “Prisma v3.0 gives enterprises the ability to transcribe them the way they were spoken, with the numbers and names a business needs to act on.”

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“Code-mixed speech is the default in India,” said Bharath Shankar, Chief Product and Engineering Officer, Gnani AI. "With v3.0, teams choose how each transcript is written, from a verbatim record to code-mixed text where each language keeps its own script. Spoken times like Marathi for half past ten, come out as 10:30. Developers can pass up to 200 keywords per request, so their product names come back correctly.”