ConvoZen announced the launch of Akshara (STT) and Ragini (TTS). These proprietary frontier models represent a breakthrough in Sovereign AI, engineered specifically to secure and power the linguistic diversity of the Indian enterprise.
In an era where global AI models often overlook the nuances of regional dialects and data privacy, Akshara and Ragini offer a fully indigenous stack. These models ensure that India’s conversational data remains within the country’s borders while providing accuracy levels that surpass global hyperscalers.
The Sovereign Advantage: Built for Bharat
Unlike generic models trained on Western datasets, Akshara and Ragini are forged from 50,000+ hours of real-world Indian telephonic data. This indigenous training foundation allows ConvoZen to solve the “Last Mile” of voice AI:
- Linguistic Sovereignty: Native understanding of “Hinglish” and 9 regional languages (including Bengali, Gujarati, and Malayalam) without relying on English-centric translation layers.
- Telephony-First Architecture: Purpose-built for the 8 kHz bandwidth of Indian telecom networks, ensuring high performance where global “HD-only” models fail.
- Data Security & Localization: Designed for sectors with stringent regulatory requirements, such as BFSI and Healthcare, allowing for secure, localized deployment that keeps sensitive customer data within Indian jurisdiction.
Benchmark Excellence: Outperforming Global Standards
Akshara (STT) has set a new industry benchmark for Indian languages, delivering a 32% average reduction in Word Error Rate (WER) compared to leading global alternatives.
| Language | Industry Standard WER | Akshara WER | Improvement |
| Hindi | 18.5% | 8.2% | 56% Better |
| English (Indian) | 17.2% | 9.1% | 47% Better |
| Telugu | 19.0% | 10.5% | 45% Better |
| Tamil | 20.1% | 11.3% | 44% Better |
A Unified Agentic Ecosystem
The launch of these models completes the ConvoZen Sovereign Stack, enabling enterprises to deploy AI agents that are contextually aware and culturally resonant:
- Ragini (Polyglot TTS): Delivers human-like speech with sub-100ms latency, handling bilingual code-mixing with natural prosody and emotion.
- Akshara (Telephony STT): Provides high-accuracy transcription even in noisy environments, featuring automated PII Redaction (Aadhaar, PAN) for enhanced security.
- Agentic Integration: These models power ConvoZen’s full suite of Supervisor, Copilot, and Customer 360 agents, providing a unified intelligence layer for customer operations.
The Vision: Moving Beyond Simple Automation
The launch of Akshara and Ragini completes the ConvoZen Agentic Stack. By integrating these models directly into our Supervisor, Copilot, and Customer 360 agents, we enable a transition from basic automation to high-intelligence customer operations.
As Akhil Gupta, Founder of ConvoZen.AI & NoBroker.com, noted during the summit:
“We believe the future of customer operations lies in the coexistence of human and AI agents. 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.”
About ConvoZen
ConvoZen is a leading conversational AI platform providing indigenous speech and text solutions for the Indian market. By focusing on localized linguistic data and telephony-first architecture, ConvoZen enables enterprises to deliver superior customer experiences at scale.
For more information or to request a product demonstration:
- Visit: https://convozen.ai/book-demo
- Read the full coverage from the launch event here:
Deccan Herald article from the ConvoZen AI Summit 2026
And
Analytics India Magazine coverage from The ConvoZen AI Summit 2026