Voice AI Startup Ringg AI Raises 5.5 Million
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Voice AI Startup Ringg AI Raises $5.5 Million

The round was led by Arkam Ventures with participation from Groww’s Founder Fund and Kunal Shah.

1/21/2026
Othmane Taki
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Voice AI startup Ringg AI has successfully secured $5.5 million in a significant funding round led by Arkam Ventures. The investment saw participation from notable entities including Groww’s Founder Fund, Cred founder Kunal Shah, and existing investor Capital2B. Founded in late 2023, the company provides a no-code platform for businesses to deploy human-like voice agents, aiming to revolutionize customer interaction workflows.


Strategic Capital for Innovation and Growth

The fresh capital is earmarked for several strategic initiatives, including accelerated product development and a concerted push for global expansion. A significant portion will be dedicated to in-house AI model research and building proprietary GPU infrastructure to enhance performance. This move aims to reduce dependency on third-party APIs and support secure on-premise deployments for large enterprise clients.

Revolutionizing Enterprise Communication

Ringg AI offers a sophisticated no-code platform that empowers businesses to build and manage multilingual, human-like voice agents. The technology is designed to replace outdated interactive voice response (IVR) systems and inefficient call center operations. These AI agents are capable of understanding user intent, executing complex actions, and delivering tangible business outcomes across various workflows.

The platform currently manages approximately 1.5 million customer conversations each month, with an impressive 77% being fully automated without human intervention. Its multilingual capabilities are extensive, supporting 18 languages including English, Arabic, Spanish, and ten Indian languages like Marathi and Telugu. This broad language support is crucial for its diverse client base and international expansion plans.

Demonstrating Tangible Business Impact

The company serves around 20 enterprise clients across India, the United States, and Saudi Arabia, with pilots underway in Dubai and North America. Its customer portfolio includes prominent names such as Cred, PharmEasy, Shiprocket, Flipkart, and Shell. Key sectors benefiting from the technology include finance for authentication, healthcare for bookings, and logistics for delivery coordination.

Clients utilizing Ringg AI have reported significant financial benefits, including a 57% lower cost per resolution and a 63% reduction in call center expenses. For high-growth companies like Cred, this technology provides essential operating leverage by automating tasks from lead qualification to collections. The platform allows businesses to scale their communication efforts instantly without the prohibitive costs of hiring and training large teams.

Future Roadmap and Investor Confidence

Looking ahead, Ringg AI is planning to launch three major product enhancements in the coming months to expand its ecosystem. These include call-deflection agents with automated voice follow-ups and an AI-native customer relationship management (CRM) system with memory for personalized interactions. The company also intends to introduce an app store for pre-built conversational flows developed by the community.

Rahul Chandra, managing director at Arkam Ventures, expressed strong confidence in the startup's potential to redefine enterprise workflows. He noted that voice AI opens up unprecedented levels of automation compared to the pre-AI era. Chandra highlighted Ringg AI's distinction in being live across numerous scaled-up enterprise use cases, positioning it ahead of its peers.


With its new $5.5 million in funding, Ringg AI is well-positioned to enhance its technological capabilities and expand its global footprint. The investment underscores the growing market confidence in AI-driven voice automation to solve critical business challenges in scalability and operational efficiency. As the company pursues its ambitious goal of orchestrating one billion business conversations, it is set to become a pivotal player in the enterprise AI landscape.