Bengaluru-based voice artificial intelligence startup Gnani.ai has raised $10 million in the first close of its Series B funding round. Aavishkaar Capital led the round, with existing investor Info Edge Ventures doubling down on its bet. The fresh capital signals renewed confidence in India’s enterprise voice AI segment at a time when demand for sovereign AI models and agentic AI solutions is picking up sharply across sectors.
Gnani.ai Plans Global Push With Fresh Series B Capital
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Gnani.ai said it will channel the $10 million Series B capital into four priorities — expanding its global footprint, deepening its agentic AI capabilities, building out multilingual and industry-specific solutions, and hiring across engineering and product teams.
Co-founder and CEO Ganesh Gopalan confirmed that the startup has already started moving beyond India. “Over the past 12 months, we’ve added more than 120 new customers and are steadily expanding into key international markets, including Japan, East Asia, the Middle East, and the United States,” Gopalan said.
That overseas push matters. While India remains Gnani.ai’s core market, the company now serves more than 200 enterprise customers — a roster that includes Fortune 500 names across BFSI, telecom, healthcare, ecommerce, and government. The startup’s trajectory places it firmly among the top AI startups to watch in India this year.
How Gnani.ai Built a Voice AI Platform Processing 30 Million Daily Interactions

Founded in 2016 by Gopalan and Ananth Nagaraj, Gnani.ai did not chase the generative AI hype cycle that swept through Indian startups in 2023 and 2024. Instead, the company spent years building a full-stack voice AI platform from scratch — one that now processes over 30 million voice interactions every day in more than 12 languages.
That stack covers speech recognition, text-to-speech, voice biometrics, and conversational AI. The company recently launched Inya VoiceOS, a 5-billion-parameter voice-to-voice foundational model that lets enterprises build, deploy, and manage AI agents across voice and digital channels. According to Gopalan, Inya has already pulled in more than 150 paying customers since launch.
Gnani.ai also rolled out two purpose-built Indic language models — Vachana STT for speech-to-text and Vachana TTS for text-to-speech. The TTS model can clone a human voice in just six seconds and generate speech across multiple languages even when trained on a single one. Both models are trained on over one million hours of real-world Indian voice data.
Sovereign AI Models and the IndiaAI Mission Connection

A less talked-about but strategically significant piece of the Gnani.ai story is its role in India’s sovereign AI ambitions. The startup is among a small group of companies selected under the Government of India’s IndiaAI Mission to build sovereign foundational models — large-scale AI systems designed to be trained, deployed, and governed entirely within the country.
Under this initiative, Gnani.ai is developing a 14-billion-parameter voice AI foundational model aimed at delivering multilingual and real-time speech processing with advanced reasoning capabilities. The company showcased Inya during the India AI Impact Summit 2026 held in New Delhi this February, alongside fellow participants Sarvam AI and IIT-Bombay-led consortium BharatGen.
India unveiled three sovereign AI models at that summit. The momentum isn’t limited to domestic players either — global chipmaker Qualcomm recently committed $150 million to back Indian AI startups, reinforcing how seriously overseas investors are treating India’s AI ecosystem.
Why Aavishkaar Capital Backed a Voice AI Startup
Aavishkaar Capital managing director Shilpa Maheshwari pointed to the intersection of deep tech and social impact as the driving factor. “Gnani.ai has demonstrated technical depth and scale, with the potential to deliver impact across underserved communities,” Maheshwari said, adding that the firm is increasing its focus on deep-tech investments that address large-scale challenges.
The backing from Info Edge Ventures, which also participated in earlier rounds, adds continuity. For a startup operating in enterprise voice AI — a market that demands long sales cycles and sustained R&D spending — repeat investors bring stability that new cheques alone cannot.
India’s AI Market and What Lies Ahead for Enterprise Voice AI Startups

The fundraise sits within a broader wave of investor interest in India’s AI sector. Reports surfaced last week that Sarvam AI is in talks to raise up to $250 million at a unicorn valuation from Nvidia, Accel, and HCLTech. Meanwhile, OpenAI appointed its first Solutions Architect in India, a clear sign that global AI giants see the country as a priority market.
The Indian AI market itself is projected to become a $126 billion opportunity by 2030 and could contribute as much as $1.7 trillion to the country’s GDP by 2035. For Gnani.ai, the next twelve months will likely determine whether it can translate its technical moat — sovereign AI credentials, Indic language depth, and a growing enterprise client base — into a lasting position in a market that is getting crowded fast.
Stay tuned for more coverage on India’s fastest-growing AI startups on KnowStartup.
