As India’s enterprises increasingly embrace voice-led customer interactions, the need for AI that understands the country’s linguistic diversity has never been more critical. In its recent coverage, Analytics India Magazine highlights how ConvoZen is addressing this challenge with an indigenous conversational AI stack purpose-built for multilingual enterprise conversations.
The story explores the launch of Akshara, ConvoZen’s Speech-to-Text (STT) model, and Ragini, its Text-to-Speech (TTS) model, two foundation models designed to accurately transcribe and generate natural-sounding speech across Indian languages, regional accents, and code-mixed conversations.
Built on millions of real-world enterprise interactions, the models are engineered to capture the nuances of everyday communication, enabling businesses to deliver more seamless and context-aware customer experiences.
The coverage also delves into how these models integrate with ConvoZen’s broader conversational AI platform, powering AI Agents, Copilots, Supervisor AI, and Customer 360 capabilities. Together, they help enterprises automate customer interactions across support, collections, sales, and compliance while improving accuracy, scalability, and operational efficiency.
By addressing the complexities of India’s multilingual, voice-first ecosystem, ConvoZen is building AI infrastructure designed for enterprise use at scale.
Read the full coverage in Analytics India Magazine to learn more about how ConvoZen’s indigenous AI stack is shaping the future of multilingual enterprise conversations in India.