Multilingual voice-AI startup Ringg AI has raised $5.5 million (₹48 crore) in a Series A funding round led by Arkam Ventures, strengthening its push to scale enterprise voice automation globally.
In addition to Arkam Ventures, the round saw participation from Groww’s Founder Fund, Kunal Shah, White Venture Capital, and existing investor Capital2B. With this fresh capital, Ringg AI plans to expand its engineering and go-to-market teams, accelerate new product development, and deepen its international footprint.
Commenting on the funding, Siddharth Shankar Tripathi, founder and CEO of Ringg AI, said, “With this investment, we’ll build deeper product capabilities, develop our own models, and enable on-premise deployments so large enterprises can adopt voice agents with maximum control and compliance. The long-term goal is to orchestrate 1 billion business conversations.”
Founded in October 2023, Ringg AI is developing a voice agent orchestration platform that allows enterprises to design, deploy, and manage AI-powered voice agents capable of holding natural, human-like conversations with customers. Since launch, the platform has scaled rapidly, currently handling around 1.5 million customer conversations every month.
Notably, the platform fully automates nearly 77 percent of these interactions end-to-end, eliminating the need for human intervention. Moreover, Ringg AI’s voice agents can seamlessly switch across 18 languages, including 10 Indian languages, along with English, Arabic, Spanish, French, German, and Bahasa, enabling businesses to serve diverse, multilingual audiences at scale.
Meanwhile, the company has built a growing enterprise customer base. Ringg AI currently works with over 20 enterprises across India, the US, and Saudi Arabia, serving industries such as BFSI, healthcare, logistics, and e-commerce. Its client roster includes well-known brands such as CRED, PharmEasy, Shiprocket, Flipkart, and Shell. At the same time, the startup is actively running pilot projects across the GCC region and North America.
According to Ringg, enterprises using its platform have reported lower operating costs and a reduced dependency on human call-centre agents, especially for high-volume, repetitive customer interactions. As a result, businesses are increasingly turning to AI-led voice automation to improve efficiency while maintaining service quality.
Looking ahead, Ringg AI plans to roll out several new offerings. These include call-deflection and voice follow-up agents, an AI-native CRM with a memory layer, and a marketplace of pre-built conversational workflows designed to speed up enterprise adoption.
Over the next year, the company aims to significantly scale the volume of voice interactions handled on its platform. In the longer term, Ringg AI is targeting hundreds of millions of automated conversations annually, aligning with its broader ambition to redefine enterprise voice workflows.
Sharing his perspective, Rahul Chandra, Managing Director at Arkam Ventures, said, “AI is supercharging the way enterprises deploy their voice stack across processes. Voice, with its natural ease of adoption, opens the enterprise to far greater levels of automation than what the pre-AI voice era allowed for. Ringg.ai has the distinction of being live across the most number of scaled-up enterprise use cases compared to peers. We believe Ringg.ai will redefine how enterprise workflows are conceived and built.”
With strong investor backing, rapid customer adoption, and a clear product roadmap, Ringg AI is positioning itself as a key player in enterprise voice automation. As businesses increasingly prioritise AI-driven customer engagement, Ringg’s multilingual, compliance-focused voice agents could play a pivotal role in shaping the future of enterprise communication at scale.
