Industry reports<\/a> and the growth of voice model companies<\/a> in the Indian market<\/a> suggest that there is a growing demand for voice AI solutions in the country. Voice is a popular medium for communication among people and businesses in India. That\u2019s why enterprises and startups are eager to use voice AI to be more efficient at customer support, sales, customer acquisition, hiring, and training.<\/p>\n But recognizing market demand is one thing \u2014 proving businesses will pay is another. Y Combinator rejected the application from Bolna<\/a>, a voice orchestration startup built by Maitreya Wagh and Prateek Sachan, five times before finally accepting it into the fall 2025 batch, skeptical that the founders could turn interest into revenue.<\/p>\n \u201cWhen we were applying for Y Combinator, the feedback we got was, \u2018great to see that you have a product that can create realistic voice agents, but Indian enterprises are not going to pay, and you are not going to make money out of this,\u2019\u201d Wagh told TechCrunch.<\/p>\n The startup applied with the same idea for the fall batch but was able to show it had revenue of more than $25,000 coming in every month for the last few months. At that time, the company was running $100 pilots to help users build voice agents. Now the startup is pricing those pilots at $500.<\/p>\n The momentum has continued. The startup said on Tuesday that it has raised a $6.3 million seed round led by General Catalyst, with participation from Y Combinator, Blume Ventures, Orange Collective, Pioneer Fund, Transpose Capital, and Eight Capital. The round also includes individual investors, including Aarthi Ramamurthy, Arpan Sheth, Sriwatsan Krishnan, Ravi Iyer, and Taro Fukuyama.<\/p>\n Bolna is building an orchestration layer \u2014 essentially a platform that connects and manages different AI voice technologies \u2014 akin to startups like Vapi, LiveKit, and VoiceRun<\/a>, to suit the idiosyncrasies of interactions in India, including noise cancellation, getting verification on the caller ID platform Truecaller, and handling mixed languages.<\/p>\n Feature-wise, the company has built specific nuances for Indian users, such as speaking numbers in English regardless of the core language, or allowing for keypad input for longer inputs.<\/p>\n Techcrunch event<\/p>\n \n\t\t\t\t\t\t\t\t\tSan Francisco<\/span> Wagh noted that the key differentiation of Bolna is that it makes it easy for users to build voice agents by just describing them, even if they don\u2019t know much about the underlying technology, and start using them for calls. The company said that 75% of its revenue is coming from self-serve customers.<\/p>\n He also said that because Bolna is an orchestration layer, it doesn\u2019t depend on a single model, so enterprises can easily switch when there is a better model available.<\/p>\n \u201cOur platform allows customers to switch models easily or even use different models for different locales to get the best out of them. An orchestration layer is necessary for enterprises to ensure they are getting the best models because one model can be better today and another one can be better tomorrow,\u201d Wagh said.<\/p>\nThe product and customers<\/h2>\n
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\n\t\t\t\t\t\t\t\t\t\t\t\t\tOctober 13-15, 2026<\/span>\n\t\t\t\t\t\t\t<\/p>\n<\/p><\/div>\n<\/p><\/div>\n<\/div>\n![\"\"](\"https:\/\/techcrunch.com\/wp-content\/uploads\/2026\/01\/Bolna-UI.jpeg?w=680\")