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Gnani ai raises $10 million from Aavishkaar Capital to scale voice AI models globally
Gnani.ai raised $10 million from Aavishkaar Capital to expand internationally and enhance R&D. The Bengaluru-based firm processes 30 million daily voice interactions in 12+ languages, serving over 200 enterprises, including Fortune 500 companies. Gnani.ai develops its entire AI stack in-house, including speech-to-text (STT), text-to-speech (TTS), and a proprietary speech-to-speech model, along with its agentic AI platform. Voice AI startup Gnani.ai has raised $10 million in a funding round led by impact investor Aavishkaar Capital, as the company looks to expand its business internationally and improve its R&D capabilities. Founded by Ganesh Gopalan and Ananth Nagaraj, the Bengaluru-based company builds voice-first, agentic AI platforms that help enterprises automate customer interactions across languages. The startup said it currently processes over 30 million voice interactions daily in more than 12 languages and serves over 200 enterprise customers, including Fortune 500 companies. "Customers are seeing tangible improvements in efficiency and performance," cofounder Ganesh Gopalan told ET. He added that in the last financial year, the company added over 100 new enterprises and expects to grow faster over the next couple of years. Gnani.ai develops its entire AI stack in-house, including speech-to-text (STT), text-to-speech (TTS), and a proprietary speech-to-speech model, along with its agentic AI platform. The company's portfolio spans use cases such as workforce automation, live agent assist, voice biometrics, and call intelligence across sectors such as BFSI, telecom, insurance, automotive, and government, it said in a statement. Gnani already serves markets such as the US, Japan, the Middle East, and parts of East Asia. Broad opportunity On how voice AI integrates into enterprise workflows beyond customer support, Gopalan said the opportunity is much broader. "For example, in lending, we work across the entire lifecycle, from customer acquisition and onboarding to underwriting, engagement, cross-sell, and collections. Similarly, in sectors like automotive or travel, we help drive revenue, whether it's selling cars or increasing hotel bookings." The cofounder added that voice AI becomes a core layer across business workflows, not just a front-end interface. The startup is also working on new products such as avatar-based interfaces and voice cloning. Gnani.ai counts Samsung Ventures and Info Edge Ventures among its existing backers and is one of the companies selected under the government's India AI Mission to build sovereign foundational AI models. Investor perspective The fundraise comes as enterprises increasingly adopt AI-led automation tools, with voice emerging as a key interface in multilingual markets such as India and other emerging economies. "Deeptech, especially AI, has become impossible to ignore -- it is now central to how economies grow and scale," said Shilpa Maheshwari, managing director, Aavishkaar Capital. "We see deeptech as a structural growth engine for India, and that is why we have been tracking the space closely. Gnani.ai fits well within that thesis," Maheshwari added that the firm will continue to evaluate AI actively, but always through an impact lens. "Today, many companies position themselves as AI-led, so the challenge is identifying those with real technological depth versus superficial positioning. That makes diligence in this space more complex," she said.
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Gnani.ai Raises $10 Mn from Aavishkaar Capital to Power Next-Gen AI Voice Agents
"Voice is the most natural form of human communication, and human-machine interaction will follow the same path. We are building a voice-to-voice LLM that removes intermediate layers like speech-to-text and text-to-speech, improving latency, emotion capture, and accuracy," Gopalan said. Founded in 2016 by Ganesh Gopalan and Ananth Nagaraj, Gnani.ai launched its voice-first AI model, Inya, at the . Gnani.ai's B2B agentic AI solutions improve the customer experience for large enterprises and customer-facing businesses across the BFSI, telecommunications, e-commerce, and healthcare sectors. "We recently launched Vachna TTS (text-to-speech) that can voice clone a person in six seconds and also give you the ability to speak in multiple languages. Even if you just train it in one language. So, this is one example of some of the newer products that we are building," the cofounder said. Inya allows enterprises to build, deploy, and manage AI agents across voice and digital channels. As per Gopalan, Inya has already roped in more than 150 customers. reported strong financial performance in FY25, with revenue more than doubling to Rs 53.87 crore from Rs 23.09 crore a year earlier. The company reported a net profit of Rs. 3.19 crore and a loss of Rs. 51 lakh in FY24. He added that performance benchmarks support the company's approach. "I can show you multiple benchmarks where we are performing far better than (global companies) across various Indic and other languages. The real wars are going to be how you make a true business or government impact. You need to understand the customer domain."
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Bengaluru-based Gnani.ai has secured $10 million from impact investor Aavishkaar Capital to fuel international expansion and enhance its R&D capabilities. The voice AI startup processes over 30 million daily voice interactions in more than 12 languages, serving 200+ enterprises including Fortune 500 companies with its in-house built AI stack.
Bengaluru-based voice AI startup Gnani.ai has raised $10 million in a funding round led by impact investor Aavishkaar Capital, marking a significant milestone as the company accelerates its international expansion and deepens its research and development efforts. Founded by Ganesh Gopalan and Ananth Nagaraj in 2016, the company builds voice-first, agentic AI platforms designed to help enterprises automate customer interactions across multiple languages
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Source: Analytics Insight
The startup currently processes over 30 million voice interactions daily in more than 12 languages and serves over 200 enterprise customers, including Fortune 500 companies. Gopalan told ET that customers are seeing tangible improvements in efficiency and performance, with the company adding over 100 new enterprises in the last financial year alone
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.What sets Gnani.ai apart is its comprehensive approach to voice AI development. The company develops its entire AI stack in-house, including speech-to-text (STT), text-to-speech (TTS), and a proprietary speech-to-speech model, along with its agentic AI platform. This vertical integration allows the company to maintain control over performance and customize solutions for specific market needs
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.Gopalan emphasized the company's technological vision: "Voice is the most natural form of human communication, and human-machine interaction will follow the same path. We are building a voice-to-voice LLM that removes intermediate layers like speech-to-text and text-to-speech, improving latency, emotion capture, and accuracy"
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Source: ET
The company's portfolio spans diverse use cases including workforce automation, live agent assist, voice biometrics, and call intelligence across sectors such as BFSI, telecom, insurance, automotive, and government. Gopalan explained that the opportunity extends far beyond traditional customer support. "For example, in lending, we work across the entire lifecycle, from customer acquisition and onboarding to underwriting, engagement, cross-sell, and collections," he noted, adding that voice AI becomes a core layer across business workflows
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.Gnani.ai already serves markets including the US, Japan, the Middle East, and parts of East Asia. The startup is also developing new products such as avatar-based interfaces and voice cloning technology. The company recently launched Vachna TTS, a text-to-speech system that can voice clone a person in six seconds and enable speaking in multiple languages, even when trained in just one language
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Gnani.ai reported impressive financial results in FY25, with revenue more than doubling to Rs 53.87 crore from Rs 23.09 crore a year earlier. The company achieved profitability with a net profit of Rs 3.19 crore, compared to a loss of Rs 51 lakh in FY24
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.The startup counts Samsung Ventures and Info Edge Ventures among its existing backers and has been selected under the government's India AI Mission to build sovereign foundational AI models. The company launched its voice-first AI model, Inya, which allows enterprises to build, deploy, and manage AI voice agents across voice and digital channels. According to Gopalan, Inya has already attracted more than 150 customers
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.Shilpa Maheshwari, managing director at Aavishkaar Capital, highlighted the strategic importance of the investment: "Deeptech, especially AI, has become impossible to ignore -- it is now central to how economies grow and scale. We see deeptech as a structural growth engine for India, and that is why we have been tracking the space closely. Gnani.ai fits well within that thesis"
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.Maheshwari noted that while many companies position themselves as AI-led, the challenge lies in identifying those with real technological depth versus superficial positioning, making diligence in this space more complex. The fundraise comes as enterprises increasingly adopt AI-led automation tools, with voice emerging as a key interface in multilingual markets such as India and other emerging economies. For businesses watching this space, the integration of voice AI into core workflows across lending, automotive, and travel sectors signals a shift in how AI voice agents will drive customer experience and revenue generation in the coming years.
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