Gnani.ai Showcases Real-Time AI Voice Automation at MLDS 2025
The AI-driven solutions developed for enterprise-scale use are enhancing customer experiences, reducing call handling times, and automating millions of daily interactions across industries such as banking, insurance, and retail. In a presentation at MLDS 2025, AI innovators at Gnani ai showcased how AI-powered voice agents they developed are transforming industries. Ganesh Gopalan, CEO and co-founder of Gnani.ai, shared an example where an AI voice agent helped a user who had forgotten about their PAN card application within just 24 hours. Voice Agents That Talk, Think, and Assist in Real Time AI voice agents are more than just chatbots. “They are the next level of automation—handling real-time conversations at scale,” Gopalan explained. Their AI-powered voice customer service agents have already processed over 30,000 concurrent calls and millions of daily interactions. The technology works across platforms, including telephone, WhatsApp, and iMessage, automating customer service and reducing operational costs. “Our AI can lower call handling time by 15% and improve outcomes for customer support agents by 40%,” Gopalan shared. The Challenges of Building AI Voice Agents Creating an AI voice assistant is not as simple as using a chatbot. Bharat Shankar, co-founder and chief product officer at Gnani.ai, highlighted the need for high-quality speech recognition that works across various accents and languages. Another major challenge is handling interruptions naturally, as customers frequently cut in during conversations. “Customers interrupt a lot. AI must process interruptions smoothly,” he said. Also, reducing response time is also critical since long pauses negatively impact user experience. “Long pauses kill the experience. Our AI responds in under two seconds,” Shankar noted. While data security remains a top priority, especially for enterprises that require strict compliance, scaling AI-powered conversations requires advanced cloud infrastructure to handle millions of conversations daily. AI That Thinks and Speaks Instantly To solve these challenges, Gnani.ai has developed a “speech-to-speech LLM” (Large Language Model) that processes both audio and text simultaneously for faster, more efficient interactions. “This is the future—AI that thinks and speaks instantly,” Shankar said, revealing that the technology will be showcased at NVIDIA’s GTC conference in California in March. In the insurance sector, a live demonstration was showcased where an AI-powered assistant seamlessly handled customer queries by greeting callers politely, switching languages from English to Hindi mid-conversation, recognising customer preferences, and offering customised insurance plans. The entire interaction was completed in under two minutes, including a WhatsApp link for document submission. In banking and government services, AI voice agents are helping streamline processes, such as retrieving PAN card details in record time, demonstrating how AI can improve government services. “Customers no longer need to wait days for a simple query—AI speeds up the process,” said Gopalan. Agent Builder Platform To make AI adoption easier, Gnani.ai launched an “Agent Builder” platform, an end-to-end tool for businesses to create, test, and deploy AI-powered voice agents. The platform offers support for 40+ languages, 400+ pre-built AI templates, real-time voice orchestration, and seamless CRM and enterprise integrations. “With one click, companies can deploy AI agents and automate conversations instantly,” said Shankar. Looking ahead, AI voice agents will understand emotions and adjust their tone, seamlessly switch between multiple languages, and handle complex multi-step tasks automatically. As businesses increasingly rely on AI to reduce wait times, improve accuracy, and enhance human-like interactions, early adopters will gain a significant competitive edge. “The future is here. AI voice agents are not just changing businesses—they are transforming customer experiences forever,” Gopalan concluded.
“Our AI can lower call handling time by 15% and improve outcomes for customer support agents by 40%,”Gopalan shared.
"Our AI can lower call handling time by 15% and improve outcomes for customer support agents by 40%,"Gopalan shared.
["AI (Artificial Intelligence)", "Voice AI"]
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Shalini is a senior tech journalist, exploring the latest advancements in AI. When she's not reporting on the latest innovations, you can find her immersed in her next literary adventure.