ConvoZen announces end-to-end conversational AI stack and indigenous frontier models for India at flagship summit

ConvoZen.AI hosted the ConvoZen Conversational AI Summit, bringing together enterprise leaders and AI innovators to chart the future of AI-driven customer engagement.

At the summit, ConvoZen unveiled its end-to-end Conversational AI Stack alongside two indigenous frontier speech models purpose-built for Bharat: Akshara (Speech-to-Text) and Ragini (Text-to-Speech).

Beyond models: An end-to-end conversational AI stack

Born from the large-scale conversational infrastructure challenges of NoBroker, where millions of real estate transactions are inherently voice-led, ConvoZen evolved into a unified enterprise platform to manage customer-facing operations at scale.

While most conversational AI solutions operate as fragmented point tools, voice bots, chatbots, copilots, or analytics layers, ConvoZen integrates the full lifecycle into a single platform built on four agent layers:

– ConversationalAI agents – Omnichannel multilingual AI across voice, chat, and WhatsApp

– CopilotAI agents – Real-time assistance that 10x human agent productivity

– SupervisorAI agents – 100% conversation monitoring for quality, compliance, and coaching

– Customer360 AI agents – AI-driven unified customer intelligence

Today, ConvoZen serves 50+ enterprises including TATA AIG, HDFC Life, CARS24, Spinny, Pilgrim, The Souled Store, Maruti Suzuki, Kotak AMC, and Jana Bank to name a few.

ConvoZen’s product roadmap has benefited from the guiding vision of Nandan Nilekani, India’s tech visionary, particularly around building scalable, inclusive digital infrastructure for Bharat.

Akshara  Frontier speech-to-text for real-world conversations

Akshara is trained on anonymised real-world B2C telephonic conversations. Unlike studio-trained generic models, it is purpose-built for:

– 8kHz telephony recordings

– Short,high-variability consumer speech

– Multi-dialectand code-switched conversations

– Businessterminology and contextual phrasing

ConvoZen’s Akshara speech-to-text model delivers the lowest word error rates of any Indic ASR system tested, achieving an overall 32% reduction in errors compared to the next-best model and over 55% fewer errors than leading global alternatives on top of publicly available benchmarks like IndicVoices. Across 9 regional languages, Akshara outperformed Indian and global frontier models on public benchmarks such as Indic Voices and Swara.

ConvoZen also launched the Indic Conversational AI Voice Benchmark, an open benchmark designed specifically for authentic B2C telephonic interactions. On this benchmark, Akshara led performance by a significant margin.

Ragini — Expressive multilingual text-to-speech for Bharat

Ragini is ConvoZen’s frontier text-to-speech engine trained on proprietary conversational data. It delivers:

– Human-likeexpressiveness and conversational rhythm

– Seamlessmultilingual and code-switching capabilities

– Highaccuracy in Indian names, localities, numbers, and terms like UPI and Aadhaar

In blind comparative tests across six languages, Ragini outperformed leading Indian and global providers in naturalness and pronunciation accuracy.

It launches with multiple enterprise-ready voices (male and female tonalities) tailored for BFSI, automotive, healthcare, D2C, and edtech deployments.

Speaking at the summit, Akhil Gupta, Founder, ConvoZen.AI & NoBroker.com, said, “We believe the future of customer operations lies in the coexistence of human and AI agents. Our unified platform brings together Conversational AI Agents across voice, chat, and WhatsApp with memory. India is a voice-first nation. Yet enterprise-grade voice understanding models trained on real Indian conversational data have been scarce. With Akshara and Ragini, we are introducing indigenous frontier speech models built specifically for India’s multilingual, multi-dialect ecosystem. Our vision is to make AI truly conversational for Bharat, not just automated, but culturally and contextually aware.”

The summit also featured perspectives from some of India’s most influential voices in technology and digital transformation, including an opening keynote by Sandeep Alur, CEO of Microsoft India; a fireside chat with Pramod Varma, Co-founder of EkStep and a key architect behind India’s digital public infrastructure initiatives, panel discussions with Bhuvan Dheer, CMO of Maruti Suzuki India, Umesh Shetty from HDFC Life, Amit Thakkar of TATA AIG, Arzan Singapurwala of Meta Virender Bisht of Niyo, Vartika Bansal of Elevation Capital, Arpit Mittal, founder of SpeakX, Giridhar Amerla of Jana Bank, Nilesh Kambli of Pilgrim, Ajay Lulla of The Souled Store. Ankit Bose, Head AI at NASSCOM closed the summit with a valedictory keynote.

Proven enterprise impact

– Pilgrim’s65% conversations handled by conversational AI Agents, reducing human agents dependency by 40% & boosting CSAT to 4.25.

– CARS24 achieved 100% automationof quality audits using ConvoZen Supervisor Agents, strengthening compliance and speeding up QA operations.

– JanaBank observed ~7% overall sales growth using Conversational Voice AI agents, improving conversion outcomes at scale.

By deploying ConvoZen Supervisor AI Agents for 100% automated call auditing and call-level diagnostic insights, NoBroker strengthened sales quality and performance, driving up to 25% improvement in call quality (NoBroker Interiors) and an 8% uplift in site visits (NoBroker Builder). Voice AI agents in the Builder business delivered ~5% incremental growth, improving end-to-end conversions.

The road ahead

As enterprises accelerate AI adoption, the need for sovereign, telephony-optimised, high-accuracy voice infrastructure is becoming mission-critical.

With Akshara and Ragini, ConvoZen positions itself at the forefront of India’s conversational AI evolution combining indigenous frontier models with a unified enterprise stack built for real-world deployment at scale.

The summit underscored a defining shift in enterprise AI: not replacing human teams but elevating them through intelligent human–AI collaboration.

AIConversational AIConvoZen.AINoBroker
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