Devnagri AI has launched Speech AI, expanding its sovereign language infrastructure platform to include advanced voice capabilities for enterprise and regulated organizations. The new feature introduces Conversational Speech Layer (ASR) for real-time speech-to-text and Enterprise Voice Generation (TTS) for natural-sounding text-to-speech, enabling multilingual voice interactions in over 15 major Indian languages.
Quick Intel
Devnagri AI’s Speech AI marks a significant step in bridging enterprise systems with India’s multilingual voice-first user behaviors. As voice interfaces gain prominence for digital access—particularly in a market where regional languages dominate everyday communication—the platform equips organizations to deliver inclusive, natural, and efficient voice experiences.
The solution combines robust Automatic Speech Recognition (ASR) to transcribe spoken language into actionable digital data and high-quality Text-to-Speech (TTS) to produce responses that reflect authentic linguistic characteristics. This dual capability supports real-time, culturally aligned interactions that go beyond basic translation to preserve intent, emotion, and regional expression.
Key supported languages include Hindi, Punjabi, Tamil, Telugu, Marathi, Malayalam, Bengali, Gujarati, Odia, and more than five additional major Indian languages. The technology handles diverse accents and conversational styles, making voice engagements feel intuitive and trustworthy for users across demographics.
Speech AI targets high-value enterprise use cases where language barriers can impact service quality and compliance. Organizations can now implement voice-powered multilingual contact centers, streamline voice-based KYC and customer onboarding, automate collections processes in financial services, and enhance government citizen support helplines—all while maintaining enterprise-grade security, data governance, and auditability.
Unlike standalone voice APIs, Speech AI operates as an integrated component of Devnagri’s sovereign language infrastructure. It sits between foundation AI models and enterprise applications, orchestrating seamless multilingual flows across CRMs, contact center solutions, mobile applications, and digital onboarding platforms. This architecture ensures domain-specific tuning, regulatory compliance, and consistent performance across text, document, and now voice channels.
“Voice will define the next phase of digital access in India,” said Nakul Kundra, Co-founder of Devnagri AI. “Speech AI extends Devnagri’s language infrastructure into the voice layer, enabling enterprises to design systems that can listen, understand, and respond in the languages people actually speak. Our goal is to help organizations build multilingual digital experiences that are both inclusive and enterprise-ready.”
The launch strengthens Devnagri AI’s position as a comprehensive language layer for regulated and large-scale enterprises. By removing barriers across text, documents, and voice, the platform empowers sectors such as banking, financial services and insurance (BFSI), digital platforms, government services, and direct-to-consumer businesses to create scalable, culturally relevant customer journeys throughout India’s diverse linguistic ecosystem.
About Devnagri AI
Devnagri AI is the Sovereign Language Infrastructure Layer for regulated and enterprise-scale organizations, enabling multilingual communication across text, voice, and documents within enterprise systems. The platform acts as a multilingual AI orchestration layer between foundation models and enterprise applications, allowing organizations to automate language-driven workflows while maintaining compliance, governance, and cultural accuracy. Devnagri integrates directly with enterprise systems, including contact centers, CRMs, mobile applications, and digital onboarding platforms, to enable domain-tuned language intelligence across customer journeys. Organizations across sectors, including BFSI, digital platforms, and government services, use Devnagri to deliver compliant, culturally aligned, and scalable multilingual experiences across India’s diverse linguistic landscape.
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