Ringg AI Raises USD 5.5 Million Series A Led by Arkam Ventures
bolt Executive Summary
- Bengaluru-based voice AI startup Ringg AI has raised USD 5.5 million in a Series A round. The investment was led by Arkam Ventures with several others joining. The funds will help grow teams, build new products, and expand abroad.
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Bengaluru-based voice AI startup Ringg AI has raised USD 5.5 million in a Series A round. The investment was led by Arkam Ventures with several others joining. The funds will help grow teams, build new products, and expand abroad.
Funding details: USD 5.5 million (Series A)
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Ringg AI has closed a USD 5.5 million Series A round.
Arkam Ventures led the investment. Groww Founder Fund, Kunal Shah, White Venture Capital, and existing backer Capital2B also took part.
The startup will use the money to add people to engineering and go-to-market teams. It plans to create new products and grow its presence outside India. Part of the capital will go toward building its own AI models and internal GPU setup. This will allow on-premise options for large enterprises that need strict compliance.
Siddharth Shankar Tripathi, the founder and CEO, said voice is the best way to express thoughts. The platform lets companies handle operations through conversations, without code, and at a scale old systems can’t reach. The new funds will help make the product stronger, develop in-house models, and support on-premise setups for more control. In the long run, the team wants to handle 1 billion business conversations.
Rahul Chandra, managing director at Arkam Ventures, said AI is changing how enterprises use voice across their work. Voice is easy to adopt and opens up much more automation than before. Ringg AI already has the most live enterprise cases among similar companies. It should reshape how workflows get built.
The company processes around 1.5 million voice conversations a month. About three-quarters get resolved without any human help.
Ringg AI is a voice AI startup based in Bengaluru. It runs a no-code platform that lets enterprises build and run AI voice agents for customer tasks. The agents work in areas like support, lead checks, collections, scheduling, and screening, across multiple languages.
Source:- YourStory.
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