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What is Gemini 2.5 Flash Native Audio?

Google has introduced upgraded Gemini audio models that significantly expand the platform's capabilities for sophisticated voice interactions and real-time conversational AI, particularly with the launch of Gemini 2.5 Flash Native Audio and improvements in text-to-speech technology. The new native audio model enables live voice agents to effectively handle complex workflows while reliably following detailed user instructions and enhancing the fluidity of multi-turn conversations through better context retention from prior discussions. This latest enhancement is now available via Google AI Studio, Gemini Enterprise Agent Platform, Gemini Live, and Search Live, empowering developers and products to craft engaging voice experiences like intelligent assistants and business voice agents. Moreover, Google has improved the fundamental Text-to-Speech (TTS) models in the Gemini 2.5 series, increasing expressiveness, modulation of tone, pacing adjustments, and multilingual features, ultimately resulting in synthesized speech that feels more natural than ever. These advancements not only solidify Google's position as a frontrunner in audio technology for conversational AI but also pave the way for increasingly seamless human-computer interactions, making technology more accessible and user-friendly. As this technology evolves, the potential applications across various industries continue to expand, allowing for innovative solutions that cater to diverse user needs.

What is FonadaLabs?

FonadaLabs is a comprehensive voice AI infrastructure platform built to help enterprises, agencies, and technology providers develop and deploy advanced voice agents using Indian telephony networks and localized artificial intelligence technologies. The platform provides an end-to-end voice pipeline that combines telephony hosting, real-time voice streaming, AI-powered noise cancellation, speech recognition, large language models, and natural text-to-speech capabilities within a unified API ecosystem. FonadaLabs is specifically optimized for Indian infrastructure and supports more than 23 Indian languages, including Hindi, Bengali, Tamil, Telugu, Marathi, Gujarati, Kannada, Punjabi, Malayalam, and many additional regional languages. The platform delivers highly accurate automatic speech recognition tailored for Indian accents, dialects, and telephony-based interactions, helping organizations create more natural and effective customer experiences. FonadaLabs also includes specialized 3B parameter voice agent language models with support for tool calling, function execution, industry-specific use cases, and custom fine-tuning for enterprise deployments. Businesses can access Indian phone numbers, enterprise telephony infrastructure, high-availability call routing, and voice management tools through scalable APIs and WebSocket integrations designed for real-time streaming applications. The platform’s text-to-speech engine generates natural Indian voices with emotional expression, HD audio quality, and ultra-low latency optimized for voice agent communication. FonadaLabs supports production-scale deployments with enterprise-grade infrastructure capable of handling more than 10,000 concurrent voice agents while maintaining 99.9% uptime and low-latency response times. A strong focus on data sovereignty ensures all processing and storage occur within India, helping organizations meet compliance, privacy, and security requirements for enterprise operations.