About Ringg AI
Ringg AI is an Indian voice AI platform that lets businesses build multilingual agents for inbound and outbound calls, chat, WhatsApp, and web. It is used for workflows like appointment booking, abandoned-cart recovery, and KYC checks.
What is Ringg AI?
What is Ringg AI?
Ringg AI is a platform for building voice and chat AI agents that handle customer support and outreach for enterprises. Its website describes multilingual agents for inbound and outbound calls, chat, WhatsApp, and web, with tools to test, deploy, and monitor them.
According to TechCrunch, Ringg handles workflows such as appointment booking, abandoned-cart recovery, KYC checks, and omnichannel support. Voice calls make up about 70% of its business, and the platform processes around 20 million call attempts a month. Customers named in the coverage include Cred, Flipkart, Practo, Groww, Policybazaar, and Shell, and it runs across 1,200 clinics through Practo.
The company started as DesiVocal, a text-to-speech startup, before moving into full conversational agents. Its core market is Indian enterprises in fintech, e-commerce, and healthcare, along with global capability centers and multinationals with offshore operations.
In August 2026 Ringg raised a $10 million Series A extension led by Peak XV Partners, bringing its Series A and total funding to $15.5 million. Co-founders include Siddharth Tripathi, Kali CV, and Utkarsh Shukla.
Pros
- Supports voice, chat, WhatsApp, and web channels
- Multilingual agents suited to Indian enterprise use cases
- Handles concrete workflows like booking, cart recovery, and KYC
- Operating at scale, with about 20 million call attempts per month
Cons
- Primary focus is the Indian market
- Public pricing details are limited
- Enterprise workflows may require setup and integration effort
How to Use Ringg AI
- 1Define the use case
Choose a workflow such as appointment booking, support, or cart recovery.
- 2Build the agent
Configure a multilingual agent for calls, chat, WhatsApp, or web.
- 3Test
Run test conversations to validate the agent before going live.
- 4Deploy and monitor
Launch the agent and track performance from the dashboard.