Voice AI startup Bolna raises $6.3 million in seed round led by General Catalyst

SUMMARY
Bolna, a voice AI startup based in Bengaluru, has successfully secured $6.3 million in a seed funding round led by the global venture capital firm General Catalyst. This funding round also saw significant contributions from Y Combinator, Blume Ventures, Orange Collective, Pioneer Fund, Transpose Capital, and Eight Capital, alongside notable angel investors like Aarthi Ramamurthy, Arpan Sheth, Watsan Madhavan, Ravi Iyer, and Taro Fukuyama. The company made this announcement on January 20.
This investment arrives at a crucial time as Indian enterprises are transitioning from experimental artificial intelligence pilots to large-scale automation, particularly in handling high-volume voice interactions. Many organisations across various sectors, including customer support, logistics, recruitment, collections, and onboarding, still rely heavily on traditional IVR systems or human-operated workflows, which are often costly, challenging to scale, and not well-suited for India’s diverse linguistic landscape.
Advancing Enterprise-Grade Voice Automation
Bolna plans to use the newly acquired funds to enhance its engineering and deployment capabilities, improve its proprietary AI and machine learning systems for vernacular voice interactions, and bolster its enterprise-grade infrastructure to support high-volume, production-ready deployments.
“Voice remains the most vital engagement channel for enterprises. However, the shift from IVR or human-driven processes to voice AI is a lengthy and intricate journey,” remarked Maitreya Wagh, Founder and CEO of Bolna. “Our primary goal is to empower enterprises to independently build, test, deploy, and monitor voice AI agents at scale, without any friction.”
Creating Scalable and Multilingual Voice AI Solutions
Founded in 2024 by Maitreya Wagh and Prateek Sachan, Bolna has introduced a self-service platform that enables enterprises to design, deploy, and manage voice AI agents without the need for extensive implementation timelines or deep AI expertise. The platform currently supports over ten Indian languages and is designed to operate effectively in real-world telephony environments, including noisy settings and diverse regional accents.
Since its initial commercial launch in May 2025, Bolna has experienced remarkable growth. The platform has expanded from managing around 1,500 calls per day to over 200,000 daily calls, marking an astonishing growth rate of more than 13,000 percent. The company now caters to over 1,050 paying customers across various sectors, including e-commerce, BFSI, logistics, recruitment, and education, with notable clients such as Varun Beverages, Spinny, and Snabbit.
Technology-Driven Differentiation
A standout feature of Bolna’s platform is its proprietary orchestration layer, which intelligently directs each call to the most appropriate AI model based on factors like language, context, and use case. This strategy allows enterprises to avoid reliance on a single foundational model, resulting in enhanced accuracy and efficiency.
“We firmly believe that one foundational model cannot meet the diverse needs of enterprise voice AI,” stated Prateek Sachan, Co-founder and CTO of Bolna. “Our orchestration layer ensures that every call is managed by the best-fit model, rather than confining enterprises to a single provider ecosystem.”
Industry Confidence and Future Prospects
Neeraj Arora, CEO India and MENA and Managing Director at General Catalyst, expressed confidence in Bolna’s vision, stating, “Bolna significantly streamlines the process of building and deploying voice AI agents. We see great potential for the company to become the default platform for enterprises looking to automate voice-based interactions at scale.”
With its emphasis on multilingual capabilities, scalable infrastructure, and enterprise-focused design, Bolna is well-positioned to play a crucial role in transforming voice automation across Indian businesses, aligning perfectly with the country’s rapidly evolving digital and AI-driven economy.
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