Bengaluru Voice AI Startup Bolna Grabs $6.3 Mn to Enhance Vernacular Calls

Bengaluru-based voice AI startup Bolna has secured $6.3 million in a seed funding round led by General Catalyst. 

This funding round also featured participation from Y Combinator, Blume Ventures, Orange Collective, Pioneer Fund, Transpose Capital, and Eight Capital, as well as angel investors Aarthi Ramamurthy, Arpan Sheth, Sriwatsan Krishnan, Ravi Iyer, and Taro Fukuyama, among others.

The startup will use the fresh capital to enhance its engineering and deployment teams, invest in its own AI and machine learning technologies to facilitate vernacular voice interactions, and bolster enterprise-level infrastructure to support large-scale production deployments.

Since its initial commercial launch in May 2025, Bolna has grown from managing approximately 1,500 calls per day to over 200,000, it said in a statement. The company now boasts more than 1,050 paying customers across industries such as e-commerce, BFSI, logistics, recruitment, and education.

Bolna serves a diverse range of clients, including large companies like Varun Beverages and startups such as Spinny and Snabbit. The startup enables high-volume voice processing as well as specialised, voice-dependent sectors such as travel and matrimonial services, where multilingual voice interactions are the primary mode of communication. 

In September, Bolna was accepted into the Fall 2025 cohort of Y Combinator.

“The biggest thing to happen to Bolna as soon as we entered YC was gaining confidence in building for India. We spoke to alumni and successful founders who followed their gut and took well-calculated risks, without worrying about what investors or industry experts might say,” Maitreya Wagh, founder and CEO at Bolna, told AIM. 

Bolna's orchestration layer enables businesses to run voice AI systems in multiple languages and scenarios on a single platform. Designed for high-volume telephony, it helps maintain consistent performance as call volumes grow.

“Earlier, we thought a self-serve tool would be used only by indie developers and growth-stage startups. We changed our focus to building a product that can be used even by veterans, CXOs and PMs at large Indian enterprises who may not have prior experience with AI or prompting,” Wagh added. 

The company has focused on hiring forward-deployed engineers to train key decision-makers in developing and managing voice AI agents. This initiative has led to launches with two publicly listed companies and pilot programmes with five others. 

Its monthly revenue increased from $20,000 in September to $56,000 by December 2025, the statement said. The enterprise pipeline is projected to reach $3 million in annual recurring revenue (ARR) in the coming months, and with more enterprises on board, the company aims to achieve its 2026 ARR target of $5 million by June.