Gnani.ai raises $10 million from Aavishkaar Capital to scale voice AI models globally

Gnani.ai Secures Major Funding to Expand Voice AI Capabilities

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 1

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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 1

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Building the Entire AI Stack In-House

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 1

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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" 2

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Source: ET

Expanding Beyond Customer Support

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 1

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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 2

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Strong Financial Performance and Strategic Backing

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 2

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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 2

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Investor Perspective on Deeptech and AI

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" 1

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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.