Bolna raises $6.3M to scale its India-focused voice AI platform

On Tuesday, Indian voice orchestration startup Bolna announced it has raised a $6.3 million seed round. The funding round was led by General Catalyst, with participation from a broad group of institutional and individual investors.

The institutional investors in the round include:

• Y Combinator
• Blume Ventures
• Orange Collective
• Pioneer Fund
• Transpose Capital
• Eight Capital

Individual investors participating in the round include Aarthi Ramamurthy, Arpan Sheth, Sriwatsan Krishnan, Ravi Iyer, and Taro Fukuyama.

The funding marks a significant shift for the startup, which was founded by Maitreya Wagh and Prateek Sachan. Y Combinator initially rejected Bolna’s application five times due to skepticism about whether Indian enterprises would pay for voice agents. Wagh noted that during the application process, the accelerator’s feedback was that while the product could create realistic voice agents, Indian enterprises would not pay for it. Bolna eventually secured admission to the accelerator’s fall 2025 batch after demonstrating consistent monthly revenue of more than $25,000, driven by $100 pilots that have since scaled to $500.

Bolna is building an orchestration layer—defined as a platform that connects and manages different AI voice technologies—specifically tailored to the Indian market. The platform addresses local communication challenges, such as background noise cancellation, caller verification on Truecaller, and mixed-language inputs. By acting as an orchestration layer, Bolna allows enterprises to remain model-agnostic. Wagh explained that the platform allows clients to easily switch models or deploy different models across various locales to optimize performance, which is necessary because the best model can change from day to day.

The startup is currently handling over 200,000 calls per day and is on the verge of crossing $700,000 in annual recurring revenue (ARR). While 75% of Bolna’s revenue comes from self-serve customers—including small to midsize businesses like car reselling platform Spinny and house-help startup Snabbit—the company is also expanding its enterprise business. To support this push, Bolna employs nine forward-deployed engineers, who are specialists that work directly with clients on-site or closely with their teams.

Akarsh Shrivastava, an investment team member at General Catalyst, noted that Bolna’s flexibility makes it highly attractive to enterprises. “Bolna allows you the freedom to choose any model and has a stack behind it to mold it according to your requirement. It’s a good option for people who want to own some part of the stack, want flexibility in model picking, and want to be able to maintain those products themselves,” Shrivastava said.

Why it matters

Bolna’s success highlights the growing demand for specialized AI infrastructure in emerging markets like India, where generic models often fail to handle local nuances like mixed-language inputs and background noise.