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/

Parrot v2 Fast. Accurate. Built for the phone. Try it out here: ringg.ai/models/speech-to-te…

Today, we’re launching Ringg Spaces for our partner ecosystem. Create independent sub-workspaces for your customers, with clear separation of data and costs—all managed from one central account. More customers. Less admin. More time building agents that get the work done.

Browser Agents at Ringg. Want something, say something

We’re hiring our first DevRel at Ringg. - Write docs that unblock people. - Grow a developer community. Help shape the product. Love building and teaching? DM us something you’ve built, written or taught.

Raving on our own merch!!

Ringg is now UAE 🇦🇪 compatible data residency compatible by default. Look it up at: uae.ringg.ai

Ringg Crew @GffFintechfest

Buying insurance shouldn’t feel like an exam. But if it did, our agent would be the know-it-all. Ringg for Insurance brings policy-trained agents that know the fine print, spot buying intent, answer questions, and help customers choose and buy the right plan in minutes. Trusted by Policybazaar and Coversure. Let's talk more at @GffFintechfest

Enterprise AI rarely dies at the model. it dies at procurement, integration and support. In the @G2dotcom fall report, Ringg has been awarded High performer, and Easiest to do business with. Build agents that users love with Ringg!!

lot of talk on india X the last two days about voice agent companies and their pricing. we started building this in 2023, before any of it was consensus. so we’ve watched a few turns of this cycle already. my view: ₹2 or ₹1 is inconsequential in the long run. (And also limits from using the most powerful stack and so outcomes generally suck) the framing itself is wrong. the promise of ai was never fewer people on the payroll. it’s outsized outcomes. and outsized outcomes don’t come from running the same process on cheaper tech. they come from rethinking how you serve the customer. building a voice agent isn’t hard anymore. there’s real money in the low complexity minutes. lead qualification, collections, reminders. that market is large and it’s getting taken. the harder thing is a memory and action layer sitting on top of the apis companies already spent years building. agents that consume, convert and retain using that context that’s what kills the old cost of building and maintaining products. so cost plus, and whether per minute goes to zero, makes for fun discourse. the actual question is how you change the way a business serves its end customers. that answer won’t be cost plus. it’ll be revenue first. long way to go. we’re on innings 0 of voice + action agents. if done right, it will changes what a good p&l looks like. only a few companies will adopt agents in a way that creates meaningful outcomes. Those companies will keep gaining market share. the rest may not remain relevant.

Ringg City Newsletter 50th Golden Edition.

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

#Funding: Voice AI startup Ringg raises $10 Mn led by Peak XV ✍️ @Shashank_ent entrackr.com/news/voice-ai-s…

Ringg has raised $10 million from Peak XV as a part of its Series A extension. spr.ly/6012B1v5te

Everyone’s celebrating something at the Ringg HQ!!

Traditional IVRs after making the customer press seven buttons and still routing them to the wrong team.

Come, create with us 🧡