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India's Ringg gets backing from Peak XV as it pushes voice AI past the phone call
More than 76% of consumers in India prefer talking to businesses over a phone call, according to a recent study from Truecaller. Since voice is still consumers' preferred way to communicate, that leaves a big opportunity to automate support and outreach calls using voice AI in the country. Voice AI startup Ringg, which already processes 20 million call attempts a month, is betting that volume keeps climbing over the coming months, and it just raised more money on that belief. The company said today it has landed $10 million from Peak XV Partners as an extension of its Series A. It had previously raised $5.5 million in a Series A round earlier this year, bringing the round's total to $15.5 million. Ringg started life as a text-to-speech startup called DesiVocal, but training its own speech models proved expensive, so the founders moved up the stack -- building voice AI agents for enterprises instead. Indian fintech Cred became its first customer, and Ringg has since signed Indian startups like Flipkart, Practo, Groww, and PolicyBazaar. "At the start, we were doing high-volume, low-complexity use cases like outbound calling, lead qualification, loan collection, and more. We quickly realized these are not sticky use cases, and so it's always going to be a price game," the startup's co-founder Siddharth Tripathi told TechCrunch. Ringg still serves some of those simpler use cases, but it has set its sights on more complex workflows: appointment booking for healthcare clinics, abandoned-cart recovery for e-commerce sites, and onboarding/KYC ("know your customer") checks for fintech apps. Tripathi said Ringg's voice agent now runs across 1,200 clinics for the healthcare app Practo, helping patients book visits or follow up on next steps post-visit. Voice calls still make up over 70% of Ringg's business, but the startup has started branching into other channels, including chat and WhatsApp. For some clients like Shell, it's also automating browser-based support requests. "We are trying to position ourselves as a platform for agents that bring outcomes or get things done rather than voice agents for enterprises," Tripathi said. Most of Ringg's customers are based in India, with a handful in the Middle East and the U.S. But the startup isn't trying to sell directly to U.S. companies; instead, it wants to partner with so-called Global Capability Centers in India -- the offshore hubs multinationals increasingly lean on for back-office and support work -- to sell automation capacity alongside human support. Tripathi said the company builds its own speech recognition and generation models, and would eventually like to own the full voice stack, including infrastructure and deployment. For now, though, that remains too costly, so the product works as an orchestration layer, routing tasks to different models depending on the use case. Rishen Kapoor, a principal at Peak XV, said that because Ringg started as a research lab building its own models, that technical depth shows up in the complex use cases it's now tackling. "Because of the technical capabilities, they can actually do these hard-won enterprise workflows end to end. They can complete these higher-value tasks like merchant onboarding, like L1 and L2 support, with quality and with consistency," Kapoor told TechCrunch. Voice AI in India is a crowded field. Model makers including Deepgram, ElevenLabs, Cartesia, and local players like Sarvam and Smallest.ai, are all jockeying for pole position. Orchestration-focused startups like Bolna and Blue Machines are chasing the same layer Ringg occupies, while sector-focused players like Gnani and Arrowhead concentrate heavily on finance. That layered stack -- model makers, orchestrators, and application-layer players all trying to lock in enterprise workflows -- is itself the story. The money and the defensibility increasingly sit with whoever owns the customer relationship and the outcome. Ringg currently has 40 employees, with more than 15 hired in the last three months. The startup is hiring for forward-deployed engineer roles that combine technical chops with product management skills, along with researchers focused on bringing down the cost of running its models.
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Ringg AI funding: Ringg AI raises $10 million in funding from Peak XV Partners, others
Founded in 2023 by Siddharth Tripathi, Kali Charan Vemuru and Utkarsh Shukla, the startup counts Policybazaar, CRED, Flipkart, Groww and Practo among its customers. Bengaluru-based enterprise voice AI startup Ringg AI has extended its Series A funding round to $15 million, with Peak XV Partners leading the funding and participation from existing investors Arkam Ventures and Capital 2B. ET had first reported on June 4 that Peak XV was leading a $10 million round in the startup. The fresh capital will be used to strengthen Ringg AI's platform, expand its voice, WhatsApp and browser AI agents, deepen investments in proprietary AI models and accelerate enterprise expansion in India and overseas. Founded in 2023 by Siddharth Tripathi, Kali Charan Vemuru and Utkarsh Shukla, the startup counts Policybazaar, CRED, Flipkart, Groww and Practo among its customers.
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Bengaluru-based Ringg AI has extended its Series A funding round to $15.5 million, with Peak XV Partners leading a $10 million investment. The enterprise voice AI startup processes 20 million call attempts monthly for clients including Cred, Flipkart, Practo, Groww, and PolicyBazaar, while expanding beyond phone calls into WhatsApp and browser-based automation.

Ringg AI has extended its Series A funding to $15.5 million, with Peak XV Partners leading a $10 million investment alongside existing backers Arkam Ventures and Capital 2B
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. The Bengaluru-based enterprise voice AI startup had previously raised $5.5 million earlier in 2024, bringing the total Series A funding round to $15.5 million1
. Founded in 2023 by Siddharth Tripathi, Kali Charan Vemuru, and Utkarsh Shukla, Ringg AI currently processes 20 million call attempts monthly across its enterprise customer base1
.Ringg AI began as DesiVocal, a text-to-speech startup focused on training proprietary speech models
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. When the cost of developing these models proved prohibitive, the founders pivoted to building voice AI agents for enterprises instead. Indian fintech Cred became the startup's first customer, validating the shift in strategy1
. The company now serves major Indian startups including Flipkart, Practo, Groww, and PolicyBazaar1
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.Initially, Ringg AI handled high-volume, low-complexity use cases like outbound calling, lead qualification, and loan collection
1
. Co-founder Siddharth Tripathi recognized these weren't sticky use cases and would inevitably become a price competition game1
. The startup shifted focus toward more complex workflows including healthcare appointment booking, e-commerce abandoned-cart recovery, and fintech KYC checks1
. Ringg AI's voice agent now operates across 1,200 clinics for Practo, helping patients book appointments and follow up on post-visit care1
.While voice calls still represent over 70% of Ringg AI's business, the startup has begun diversifying into other channels
1
. The enterprise voice AI startup now offers WhatsApp and browser AI agents, with clients like Shell using browser-based support automation1
. Tripathi explained the strategic positioning: "We are trying to position ourselves as a platform for agents that bring outcomes or get things done rather than voice AI agents for enterprises"1
. The fresh capital will strengthen Ringg AI's platform capabilities and deepen investments in proprietary AI models2
.Ringg AI builds its own speech recognition and generation models, operating as an orchestration layer that routes tasks to different models based on use case requirements
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. While the startup aspires to own the full voice stack including infrastructure and deployment, cost constraints currently make that impractical1
. Rishen Kapoor, principal at Peak XV Partners, highlighted how the company's origins as a research lab building speech models translates into competitive advantage: "Because of the technical capabilities, they can actually do these hard-won enterprise workflows end to end. They can complete these higher-value tasks like merchant onboarding, like L1 and L2 support, with quality and with consistency"1
.Related Stories
Most of Ringg AI's customers operate in India, with a handful in the Middle East and the United States
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. Rather than pursuing direct sales to US companies, the startup plans to partner with Global Capability Centers in India—offshore hubs that multinationals use for back-office and support operations1
. This strategy positions Ringg AI to sell automation capacity alongside human support services. The company currently employs 40 people, having added more than 15 employees in the last three months1
. The startup is actively hiring forward-deployed engineers who combine technical skills with product management capabilities, plus researchers focused on reducing model operating costs1
.Voice AI in India has become intensely competitive, with model makers like Deepgram, ElevenLabs, Cartesia, Sarvam, and Smallest.ai all vying for market position
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. Orchestration-focused startups like Bolna and Blue Machines compete directly with Ringg AI's agent platform approach, while sector-specific players like Gnani and Arrowhead concentrate heavily on finance verticals1
. The opportunity remains substantial: more than 76% of consumers in India prefer talking to businesses over phone calls according to Truecaller research, leaving significant room for voice automation1
. As the voice AI stack matures across model makers, orchestrators, and application-layer players, defensibility increasingly belongs to whoever owns the customer relationship and delivers measurable outcomes1
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