“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.”
Voice remains central to Ringg’s business, accounting for more than 70% of revenue. The company processes about 20 million call attempts each month, while WhatsApp, chat and browser automation make up the rest of its offering.
Ringg has also shifted toward more complex enterprise workflows rather than focusing primarily on simpler outbound calling. Its use cases now include healthcare appointment scheduling, abandoned-cart recovery for e-commerce companies and know-your-customer processes for financial services.
For Practo, Ringg’s voice agents operate across 1,200 clinics, handling appointment bookings and follow-up calls. Its customer base also includes Policybazaar, CRED, Flipkart, Groww, Tabby, SuperNova and GoodScore, spanning sectors including healthcare, marketplaces, banking, fintech and IT.
The company is also investing further down the AI stack. Ringg has developed a proprietary speech-to-text model called Parrot and plans to work on small language models as part of an effort to gain more control over infrastructure costs, compliance and where customer data is stored. “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 supports regional deployments in India, the GCC, the U.S. and Europe, as well as installations that run on customers’ own infrastructure. Most of its customers are currently in India, with a smaller presence in the Middle East and the United States.
The company is also expanding its workforce as enterprise deployments grow. Ringg has 40 employees and has added more than 15 people over the past three months, with hiring focused on engineers working directly with customers and researchers focused on lowering inference costs.
The new funding will support further development of Ringg’s AI platform, additional voice, WhatsApp and browser capabilities, investment in its proprietary models and context graph, and broader enterprise sales efforts in India and international markets.
Ringg’s strategy is increasingly centered on owning more of the process between an initial customer interaction and the business action that follows. Its challenge is to turn that wider scope into reliable enterprise automation across the range of workflows its customers are beginning to hand over to AI agents.
This analysis is based on reporting from The Hindu businessline.
Image courtesy of Ringg.
This article was generated with AI assistance and reviewed for accuracy and quality.
