Case Study Deskcasestudydesk.com
Voice AISourced

Case Study: How Ringg AI grew 20x in one year on Plivo

Ringg AI Case StudySourced & dated by Case Study Desk
Key facts · TL;DR
Company
Ringg AI
Industry
Voice AI
Challenge
Ringg AI needed voice infrastructure that could scale 10x without rearchitecting as its conversation volume grew.
Headline result
Ringg AI grew 20x in twelve months to 8M+ voice AI conversations a month on Plivo, running at 99.99% uptime with sub-500ms latency

Key results

20x
Growth
in twelve months
8M+
Conversations per month
99.99%
Uptime
<500ms
End-to-end latency
at scale

The challenge

Ringg AI builds voice AI agents that handle sales outreach, support queries, and resolution calls 24/7. After launching in February 2025, the company scaled quickly, and its provider evaluation centered on one question: if it grew 10x, would the underlying telephony platform hold up. Most providers it tested could not answer that with confidence.

The solution

Ringg AI built its voice AI stack on Plivo's platform, relying on it to connect, route, stream, and orchestrate every call in real time across thousands of parallel connections.

If you plug into the Plivo ecosystem and build on top of it, you're pretty much sorted for your voice AI use case. That's one less problem you need to worry about.

S
Siddharth
Founder, Ringg AI

The results, in context

Ringg AI reported 20x growth in twelve months, reaching more than 8 million conversations per month. The company runs at 99.99% uptime with sub-500ms end-to-end latency across its full voice AI stack, even at its current scale.

Products used

Plivo Plivo Voice APIPlivo Real-time media streaming