India's Ringg raises $10M from Peak XV to push voice AI past calls

More than 76% of consumers in India prefer talking to businesses over a phone call, according to a recent study from Truecaller — leaving a big opportunity to automate support and outreach calls with voice AI. Ringg, a voice AI startup that already processes 20 million call attempts a month, is betting that volume keeps climbing, and has raised $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 as a text-to-speech startup called DesiVocal, but training its own speech models proved expensive, so the founders moved up the stack to build voice AI agents for enterprises instead. Fintech Cred became its first customer, and Ringg has since signed Indian startups including Flipkart, Practo, Groww, and Policybazaar. Co-founder Siddharth Tripathi told TechCrunch the company initially focused on high-volume, low-complexity use cases like outbound calling, lead qualification, and loan collection, but found those weren’t sticky and always came down to price. Ringg still serves some of those simpler use cases but has moved toward more complex workflows: appointment booking for healthcare clinics, abandoned-cart recovery for e-commerce, and onboarding and KYC checks for fintech apps. Its voice agent now runs across 1,200 clinics for the healthcare app Practo, Tripathi said.

Voice calls still make up over 70% of Ringg’s business, though the startup has started branching into chat and WhatsApp, and for clients like Shell it is also automating browser-based support requests. 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 global capability centers in India to sell automation capacity alongside human support. Tripathi said Ringg builds its own speech recognition and generation models and would eventually like to own the full voice stack, including infrastructure and deployment, though for now that remains too costly, so the product works as an orchestration layer routing tasks to different models by use case.

Rishen Kapoor, a principal at Peak XV, said Ringg’s roots as a research lab building its own models show up in the complex use cases it now tackles: “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.” Voice AI in India is a crowded field, with model makers including Deepgram, ElevenLabs, Cartesia, Sarvam, and Smallest.ai; orchestration-focused rivals Bolna and Blue Machines; and finance-focused players Gnani and Arrowhead all competing for the same enterprise workflows. Ringg currently has 40 employees, with more than 15 hired in the last three months, and is hiring forward-deployed engineers and researchers focused on cutting the cost of running its models.

Why it matters

Ringg’s push into complex, sticky enterprise workflows — rather than commodity outbound calling — is a bet that owning the outcome, not just the voice interface, is where defensibility sits as India’s voice AI stack gets crowded.