Voice AI startup Ringg AI raises $10 million as an extension to Series A round

Voice artificial intelligence (AI) startup Ringg AI has raised $10 million as an extension to its Series A funding round, led by Peak XV Partners, with participation from Arkam Ventures and Capital 2b.

The startup had earlier this year raised $5.5 million as part of its Series A round.

Ringg AI is building AI agents that enable enterprises to automate customer conversations and the business workflows that follow.

The new capital will be used to strengthen Ringg’s AI platform, expand its voice, WhatsApp and browser agents, deepen investments in its proprietary AI models and context graph, and accelerate enterprise go-to-market efforts across India and international markets.

Ringg addresses this by bringing together voice, WhatsApp and browser agents into a single enterprise platform.

Rather than operating as standalone assistants, these agents share context across customer conversations, business rules and enterprise systems, enabling businesses to automate workflows such as lead qualification, onboarding, customer support, collections and renewals while allowing human teams to step in whenever required.

“Nobody buys us because the demo sounds good,” said Siddharth Tripathi, Founder and CEO of Ringg AI. “They buy us because onboarding improves, resolution times fall, or qualified leads start showing up in the CRM without someone having to make the call. Enterprises should not have to buy a voice layer and then stitch the rest together. We own the loop from conversation to action to evaluation to improvement.”

Ringg’s agents are already in production at enterprises including Policybazaar, CRED, Flipkart, Groww, Practo, Tabby, SuperNova, GoodScore and more, serving customers across marketplaces, healthcare, banking, fintech and IT.

“We chose to solve the hardest version of the problem first,” said Kali Charan Vemuru, Co-founder and CTO of Ringg AI.

“If an agent can handle a noisy call, switch across languages, and still complete a real workflow, it can work almost anywhere. We are building this in India, for a global market.” Ringg is also building more of its underlying AI stack, including proprietary speech-to-text models (Parrot) and, next, small language models. For enterprises, this provides greater control over cost, compliance and data residency. The platform supports in-region deployments across India, the GCC, the US and Europe, as well as on-premise deployments.

Published on August 26, 2026