Ringg AI agents resolve 65% of customer support requests for our customers without human involvement. We’ve focused on the hard use cases since day one: complex conversations, real workflows, and agents that follow through to get the job done. Our work with @OpenAI helps us improve intelligence, speed, and cost per outcome. That means customer support automation measured by the problems it solves for customers. Read the story behind what we’ve built and the outcomes it’s delivering: openai.com/index/ringg/

Our first office had two seats. On a good day, we made 100 calls. Today, Ringg handles more than 500,000 calls a day - which is basically 5,000 of our old "good days" happening every single day. We were forced to look closely at every detail and build the stack ourselves: speech models, orchestration, calling infrastructure - the works. Partly because what we needed didn’t exist. Partly because our team genuinely loved it enough to spend days and nights making it exist. We also quickly realised that solving problems, collecting payments, booking appointments and helping customers needed much more than conversations. It needed action. And so we changed the playbook, from voice agents that talk to AI agents that deliver outcomes. Today, we’re announcing Ringg AI’s $15 million Series A, led by @peakxvpartners , with participation from Arkam Ventures and Capital 2B. We thank our early adopters for betting on us when 100 calls still felt like a big day. We are immensely proud of our team, who turned "this should be possible" into "it’s live", none of this would have been possible without that grit. We have a feature-packed roadmap and quite a few ceilings left to break and with this fuel, it’s only going to get more fun. This is just the start 🚀🚀🚀 @sid_sst @the__UT @kali_charan_v