Gnani.ai Raises ₹68 Cr as Investors Bet Big on Voice AI Growth

The Bengaluru-based voice AI startup Gnani.ai has more than quadrupled its valuation from Rs 204 crore and turned profitable in FY25, as it looks to scale its enterprise customer automation platform globally.

Gnani.ai has closed a Series B funding round of Rs 68 crore (approximately $7.17 million), led by Aavishkaar Capital. The round was executed through the issuance of 1,647 compulsory convertible preference shares at Rs 4,12,291.79 per share, as per regulatory filings with the Ministry of Corporate Affairs. The raise brings the company’s valuation to Rs 818 crore (approximately $87 million), up from Rs 204 crore at the time of its previous round, a fourfold increase. This is the company’s first fundraise of 2026.

Founded in 2016 by Ganesh Gopalan and Ananth Nagaraj, Gnani.ai offers a no-code, omnichannel AI platform for enterprise customer interaction automation. Its capabilities include conversational automation across voice, chat, and messaging channels, real-time agent assistance, voice biometrics, and analytics. The platform is positioned for regulated, high-volume environments including banking, financial services, insurance, and e-commerce, sectors where automating customer interactions at scale has direct cost and compliance implications.

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The company’s financial performance ahead of this round is notable. In FY25, Gnani.ai reported revenue of Rs 53.87 crore, more than double the Rs 23.09 crore it recorded in FY24. It also turned profitable, reporting a net profit of Rs 3.19 crore compared to a net loss of Rs 51 lakh in the prior year. The Series B proceeds will be deployed toward expanding the platform, growing enterprise sales, and broadening its presence across international markets.

Gnani.ai previously raised Rs 30 crore in a Series A round in July 2024, led by Info Edge Ventures. Earlier backers include Samsung Ventures. The company is among a cohort of Indian voice AI startups that have built on India’s multilingual speech recognition complexity as a technical differentiator — its automatic speech recognition engine has been benchmarked across more than 20 languages, which supports its case for deployments in markets where English-first AI tools fall short.

Sources: MCA regulatory filings; Financial figures converted at approximate exchange rate of Rs 94.8 per USD.

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