Rejected by YC five times. Admitted on the sixth. Now automating 200,000 enterprise calls a day.
India handles over a billion voice calls every day. In 2024, Maitreya Wagh and Prateek Sachan — two IIT Delhi graduates with backgrounds at Bain, Zomato, and BrowserStack — decided that most of them should be automated. Y Combinator disagreed. Five times. Then Bolna proved the market, got admitted to YC F25, raised $6.92M from General Catalyst, and scaled to 1,050+ enterprise customers in under a year.
Maitreya Wagh & Prateek Sachan
Co-Founders · Bolna
The Billion Calls Nobody Was Automating
Maitreya Wagh did not set out to build a voice AI company. He set out to build something that solved a problem he had lived in close proximity to — the problem of scale-breaking communication. At Probo, the fast-growing opinion trading startup where he worked in the Founder's Office, he had seen what happened when a company's growth outpaced its customer communication infrastructure: human agents could not keep up, IVR systems failed users, and the gap between what enterprises needed and what technology offered was costing real money.
The insight that became Bolna was simple and enormous at the same time. India processes over a billion voice calls a day. A significant portion of these — customer support, debt collections, recruitment screening, logistics updates, sales outreach — are structured, repetitive, and entirely automatable. Yet in 2024, virtually all of this volume was still being handled by human agents or legacy IVR trees that infuriated callers and delivered no intelligence back to the business.
"I saw how chatbots were taking off, but in India, people still prefer talking," Wagh later explained. "As AI models got better and cheaper, I knew the same revolution would come for voice." He called Prateek Sachan — a battle-tested infrastructure engineer who had built and scaled systems at Zomato, Tata 1MG, BrowserStack, and Atlassian — and the two IIT Delhi graduates founded Bolna in early 2024.
Five Rejections, One Key Number and the YC Door
Y Combinator rejected Bolna five times. The feedback was consistent and damaging: while Bolna's product could generate lifelike voice agents, Indian companies wouldn't pay for it. The profitability argument didn't hold. Come back when you have revenue.
Wagh and Sachan came back. Each rejection was a sharper thesis. Each iteration refined the pitch. The team moved from recruitment-only to horizontal enterprise voice AI — covering support, collections, logistics, sales, and onboarding in a single platform. They built a model-agnostic orchestration layer: instead of betting on one AI model, Bolna routes each call to whichever model handles the language, accent, and use case best. This made the platform future-proof in a space where a new state-of-the-art model appears every few months.
By the time Bolna reapplied for YC's Fall 2025 cohort, monthly revenues had crossed $25,000 consistently. The founders had also found a compelling pricing wedge: $100 pilot programs that let enterprises hear their own use case automated, within hours. YC Group Partner Tom Blomfield admitted the F25 cohort with a specific view: "India's linguistic complexity makes it one of the hardest voice markets in the world — and Bolna was already solving it while generating revenue." Five rejections. One number. The door opened.
200,000 Calls a Day and What Comes Next
The growth curve from Bolna's first commercial deployment in May 2025 to its seed round announcement in January 2026 is one of the most striking in recent Indian startup history. Day one of production: 1,500 calls. Eight months later: 200,000 calls a day. A 133x increase in daily volume, driven almost entirely by word-of-mouth among enterprise buyers who had exhausted their patience with IVR systems and custom AI builds that took months.
1,050+ paying customers. Varun Beverages. Spinny. Snabbit. E-commerce at 40% of usage. BFSI at 20–25%. Travel, matrimonial, education filling the rest. Crucially, 75% of revenue comes from self-service customers — enterprises who deployed Bolna without a sales call, a professional services engagement, or a custom build. That metric is the core of the product thesis: voice AI that enterprises can deploy on their own, at scale, on the first attempt.
The $6.3M seed round, led by General Catalyst in January 2026, is earmarked for three things: expanding the engineering and deployment teams, investing further in proprietary AI and machine learning for vernacular Indian voice, and hardening enterprise infrastructure to support the production scale that is already arriving. FY27 target: ₹45–50 crore in revenue. International expansion into US, Brazil, and Southeast Asia underway. The question for Bolna is no longer whether enterprises will pay for voice AI. They already are.
"Voice remains the most critical channel for enterprises in India, but migrating from IVR or human-led workflows to voice AI is still slow and complex. Most companies wait weeks for custom agents. Our focus is enabling enterprises to build, test, deploy, and monitor voice AI on their own, at scale."
— Maitreya Wagh, Co-Founder & CEO, Bolna (January 2026)
Company Timeline
- Early 2024
Maitreya Wagh (IIT Delhi, ex-Bain & Company, ex-Probo Founder's Office) and Prateek Sachan (IIT Delhi, ex-Zomato, BrowserStack, Atlassian) co-found Bolna in Bengaluru. The founding thesis: India handles over a billion voice calls daily, yet enterprises are still running them through expensive human agents or broken IVR systems.
- Nov 2024
First funding: seed round from Upekkha and angels. Bolna begins product development and initial customer outreach. Applies to Y Combinator — rejected for the first time (of five total rejections). Early pilots target recruiting automation, a high-volume, structured use case ideal for testing voice agent quality.
- Mid 2024 – Early 2025
Bolna pivots from recruitment-only to a horizontal enterprise voice AI platform spanning customer support, collections, sales, and logistics. YC rejections 2–5 follow. Each rejection sharpens the revenue argument. The team reaches consistent monthly revenues of $25,000+, the number that will eventually open YC's door.
- May 2025
First commercial deployment. The platform launches from private pilots to production. Day one: ~1,500 calls handled. The model-agnostic orchestration layer — routing calls to best-fit AI models by language and use case — proves its advantage immediately. Enterprise customers including Varun Beverages, Spinny, and Snabbit come on board.
- Sep 2025
Y Combinator admits Bolna to the Fall 2025 (F25) cohort — after five rejections. Convertible note of $500K raised. Daily calls cross 100,000. The YC batch accelerates international positioning and enterprise sales. 10+ Indian languages now supported. Oct 2025: Bolna publishes its 'distribution layer for every voice model' thesis.
- Jan 2026
$6.3M seed round announced on January 20, 2026 — led by General Catalyst. Y Combinator and Blume Ventures participate as existing investors. New investors: Orange Collective, Pioneer Fund, Transpose Capital, Eight Capital. Angels: Aarthi Ramamurthy, Arpan Sheth, and others. Daily calls: 200,000+. Paying customers: 1,050+. Total funding: $6.92M.
- 2026 Target
Bolna targets FY26 revenue of ₹3–4 crore (from ~₹50 lakh/month run rate), with FY27 target of ₹45–50 crore — a 10x+ leap. Capital deployed toward proprietary AI/ML for vernacular voice, engineering scale, and enterprise-grade infrastructure. International expansion into US, Brazil, and Southeast Asia underway.
Frequently Asked Questions
Who are Maitreya Wagh and Prateek Sachan, the founders of Bolna?
Maitreya Wagh (CEO) is an IIT Delhi graduate who worked at Bain & Company and then the Founder's Office at Probo before founding Bolna. Prateek Sachan (CTO) is also an IIT Delhi alumnus and a senior infrastructure engineer with experience scaling systems at Zomato, Tata 1MG, BrowserStack, and Atlassian. Both co-founded Bolna in early 2024 in Bengaluru.
How does Bolna's model-agnostic orchestration work?
Bolna's orchestration layer routes each inbound or outbound call to the most suitable AI model based on the call's language, regional accent, use case, and conditions — rather than relying on a single foundational model. This means a Hindi support call, a Tamil collections call, and an English recruitment screening can each be handled by the optimal model. Enterprises can switch models as better ones emerge without rebuilding their workflows. It is this approach that Y Combinator's Tom Blomfield described as Bolna's core technical advantage.
What industries use Bolna and who are its enterprise customers?
E-commerce accounts for approximately 40% of Bolna's usage, followed by BFSI (20–25%), with logistics, recruitment, education, travel, and matrimonial services making up the rest. Enterprise customers include Varun Beverages, Spinny, and Snabbit, as well as several BSE/NSE-listed companies. The platform supports both large enterprises and high-growth startups. 75% of revenue comes from self-service customers — enterprises that deploy Bolna without professional services or custom development.
Is Bolna open source and can developers build on it?
Yes. Bolna maintains an open-source voice AI framework on GitHub that allows developers to build and deploy voice agents using its stack. The enterprise platform (bolna.ai) offers a self-serve interface for no-code and low-code deployment, while the developer API supports deep customisation. This dual-track approach — open-source for developers, enterprise platform for business buyers — has been a significant customer acquisition driver for the company.