Mumbai: Enterprise conversational AI platform ConvoZen.AI on Wednesday announced an end-to-end conversational AI stack along with two indigenous frontier speech models designed specifically for Indian languages and real-world voice interactions.
The announcement was made at the ConvoZen Conversational AI Summit held in Bengaluru, which brought together senior leaders from technology, automotive, BFSI and digital infrastructure sectors to discuss the evolving role of artificial intelligence in enterprise customer engagement.
The company introduced Akshara, a speech-to-text model, and Ragini, a text-to-speech engine, both trained on anonymised, real-world Indian conversational data. According to ConvoZen, the models are optimised for telephony-grade audio, multilingual speech patterns and code-switched conversations commonly observed in India’s voice-first market.
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ConvoZen said its conversational AI stack integrates the entire lifecycle of customer interactions into a single enterprise platform. Unlike conventional conversational AI tools that operate as separate chatbots, voice bots or analytics layers, the platform brings together conversational AI agents, copilot agents for real-time human assistance, supervisor agents for compliance and quality monitoring, and customer intelligence agents for unified data insights.
The platform has its origins in large-scale conversational challenges faced by NoBroker, from which ConvoZen was spun out. The company said voice-led interactions across millions of real estate transactions helped shape the architecture of its enterprise-focused AI systems.
Currently, ConvoZen serves over 50 enterprise customers across sectors including insurance, automotive, banking, retail and digital commerce. Its client base includes organisations such as Tata AIG, HDFC Life, CARS24, Spinny, Maruti Suzuki, Kotak AMC and Jana Bank.
Speaking at the summit, Akhil Gupta, Founder of ConvoZen.AI and NoBroker.com, said enterprises in India require AI systems that are not only accurate but also culturally and contextually aligned with how customers communicate.
“India is a voice-first nation, yet enterprise-grade voice understanding models trained on real Indian conversational data have been limited. With Akshara and Ragini, we are introducing indigenous speech models built for India’s multilingual and multi-dialect ecosystem,” Gupta said.
According to the company, Akshara delivers lower word error rates compared to existing Indian and global automatic speech recognition systems across publicly available benchmarks such as Indic Voices. Ragini, its text-to-speech model, is designed to deliver natural conversational rhythm and accurate pronunciation of Indian names, localities and commonly used terms.
The summit also featured keynotes and panel discussions with industry leaders, including an opening address by Sandeep Alur, CEO of Microsoft India, and a fireside chat with Pramod Varma, Co-founder of EkStep. Senior executives from NASSCOM, Maruti Suzuki India, Meta, Tata Group and HDFC Life also participated in discussions on AI adoption and governance.
ConvoZen highlighted enterprise use cases where conversational AI agents have driven measurable outcomes, including automation of quality audits, improved customer satisfaction scores and sales growth across select deployments.
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As enterprises increasingly adopt AI-driven customer engagement tools, the company said there is growing demand for sovereign, telephony-optimised and high-accuracy voice infrastructure tailored to Indian conditions.
The summit concluded with discussions on the future of human–AI collaboration, with speakers emphasising that enterprise AI systems are expected to augment human teams rather than replace them
