Gnani.ai is a frontier Voice AI company that builds proprietary speech and language models for enterprise deployments. Its model stack includes Gnani Prisma v2.5 (Speech-to-Text), Gnani Timbre v2.0 (Text-to-Speech), Gnani Warp (Speech-to-Speech), and language models Gnani Aion and Gnani Evon. Enterprise products built on these models include voice agents, speech analytics, agent assist, and voice biometrics. Gnani's models are trained on 14 million hours of telephonic audio across 40+ languages and serve 200+ enterprises in banking, insurance, healthcare, and government — processing over 30 million voice interactions daily.

Frontier Voice AI refers to foundational models built natively for voice — not adapted from general-purpose language models. Gnani.ai's models are trained on 14 million+ hours of real telephonic audio, achieving a #1 ranking on Berkeley BFCL v3 at 37.99% accuracy for agentic function calling, and top performance across 8 of 9 Indian languages on the Kathbath Noisy 8kHz benchmark. The full model stack — STT, TTS, and language models — is developed entirely in-house with no dependency on third-party model providers.

Gnani.ai is purpose-built for telephonic-grade voice, where general-purpose AI models underperform. Most AI speech models are trained on clean studio audio; enterprise voice involves background noise, regional accents, and code-switching. Gnani's models are trained on 14 million hours of exactly that audio, ranking #1 on 8 of 9 Indian languages on the Kathbath Noisy benchmark. Gnani also supports on-premise, private cloud, and air-gapped deployment — a requirement for regulated industries that has made it the choice of 200+ enterprises.

Gnani.ai's speech models support 40+ languages and dialects, with deep coverage across Hindi, Tamil, Telugu, Kannada, Malayalam, Bengali, Gujarati, Marathi, Punjabi, and Spanish. Models are trained on multilingual and code-switched audio, enabling reliable transcription and synthesis in real conversations where speakers shift between languages — a common pattern in Indian enterprise environments across BFSI, telecom, and customer service.

Gnani.ai supports cloud, private cloud, on-premise, and air-gapped deployment, giving enterprises full control over where voice data is processed and stored. This architecture meets data residency requirements for regulated industries including banking (RBI), insurance (IRDAI), and healthcare. No customer voice data is used for model training without explicit agreement. Gnani is SOC 2 certified, ISO 27001 certified, and compliant with GDPR, HIPAA, and PCI-DSS.