Tuesday, March 10, 2026
Devnagri AI has announced the launch of Speech AI, a new solution designed to power multilingual voice interactions across enterprise systems and digital customer journeys. With this introduction, the company expands its language infrastructure platform and enables organizations to build voice-driven workflows that support India’s diverse linguistic landscape.
To begin with, Speech AI introduces two core voice technologies that form the foundation of the platform. These include the Conversational Speech Layer, powered by Automatic Speech Recognition (ASR), and Enterprise Voice Generation, built on Text-to-Speech (TTS) capabilities. Together, these technologies allow enterprises to convert spoken language into structured digital data and generate natural voice responses in multiple Indian languages.
As a result, businesses can deliver scalable voice-enabled experiences across a wide range of environments, including mobile applications, enterprise software platforms, and contact centers.
Voice is rapidly becoming a preferred interface for digital interaction across India. However, many enterprise platforms still prioritize English-based interfaces, which often creates barriers for users who prefer regional languages.
Devnagri AI aims to bridge this gap by enabling enterprises to interact with customers in the languages they speak every day. The Speech AI platform currently supports more than 15 major Indian languages, including Hindi, Punjabi, Tamil, Telugu, Marathi, Malayalam, Bengali, Gujarati, and Odia.
In addition to basic speech processing, the platform captures subtle linguistic characteristics such as tone, accent, rhythm, and contextual intent. Consequently, voice interactions sound more natural and culturally relevant, allowing organizations to deliver customer experiences that feel intuitive and personalized.
Speech AI opens the door for organizations to implement voice-powered workflows across several high-impact business processes. For example, enterprises can deploy multilingual voice capabilities in contact centers to improve customer communication and reduce service barriers.
Similarly, financial institutions can integrate voice-based solutions into digital onboarding and Know Your Customer (KYC) processes, making it easier for customers to complete verification tasks. Additionally, companies can automate collections workflows or create voice-enabled support systems for government citizen helplines.
Because of these capabilities, enterprises can streamline operations while also improving accessibility for users who rely on voice-based communication.
Unlike standalone voice APIs, Speech AI operates as part of Devnagri’s broader language infrastructure platform. The platform sits between enterprise applications and AI models, orchestrating multilingual communication across digital workflows.
Therefore, organizations can integrate Speech AI directly into existing systems such as CRM platforms, contact center software, mobile apps, and digital onboarding tools. This architecture allows enterprises to adopt voice capabilities without completely redesigning their technology stack.
“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.”
With Speech AI, Devnagri AI continues to advance its mission of helping enterprises deploy scalable, multilingual digital solutions that align with India’s rapidly growing voice-first user base.
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