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Oravaa runs your inbound and outbound calls with AI voice agents — lead qualification, appointment booking, reminders, and support — in 30+ languages, 24/7. Agents answer from your own docs (RAG), so they stay accurate and on-script. One flat global rate, no seats or subscriptions; you only pay when calls happen. Built for call-heavy teams in real estate, lending, and logistics who want faster speed-to-lead and fewer no-shows.
Hey Product Hunt 👋
I'm Vivek, one of the founders of Oravaa.
For years I built conversational AI and voicebots for big enterprises — and I kept seeing the same thing. The phone is where businesses quietly lose the most money. Leads go cold because nobody calls back in time. Support queues overflow. The only "fix" anyone offers is hiring more people, which scales your cost, not your outcome.
So we built Oravaa to fix that.
It's AI voice agents that handle your inbound and outbound calls — qualifying leads, booking, reminders, support — in 30+ languages, 24/7. The agents pull from your own documents (RAG), so they stay accurate and on-script instead of hallucinating.
Two things we did differently on purpose:
→ Pricing. One flat global rate, pay-as-you-go. No seats, no subscriptions, no lock-in. You only pay when calls actually happen.
→ Real workflows, not demos. Here's my favorite example. For one logistics client, a single set of voice agents runs their entire phone desk: driver hiring and applicant screening, driver complaints and on-road support, ETA and loaded/empty status updates, breakdown and accident-incident intake, pickup/delivery reference issues, new-customer detail capture for quotes, customer support and shipment queries, and internal staff support. Then after every call, Oravaa analyzes it and automatically emails a clean summary — with the recording — to the right department. One deployment quietly doing the work of a whole call center.
We've seen the same pattern in real estate too, where the agents generated meaningful qualified pipeline in just the first calling phase — being first to a lead beat any clever script.
We're strongest wherever the phone is the bottleneck — customer support, appointment booking, lead qualification, and after-hours coverage when your team's offline — across call-heavy industries like logistics, lending, and real estate.
I'll be here all day — feedback, hard questions, "why is this better than X," all of it. Tell me what's missing.
Thanks for checking it out 🙏
— Vivek
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About Oravaa on Product Hunt
“AI voice agents that handle your calls, 24/7”
Oravaa was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #159 on the daily leaderboard. Oravaa runs your inbound and outbound calls with AI voice agents — lead qualification, appointment booking, reminders, and support — in 30+ languages, 24/7. Agents answer from your own docs (RAG), so they stay accurate and on-script. One flat global rate, no seats or subscriptions; you only pay when calls happen. Built for call-heavy teams in real estate, lending, and logistics who want faster speed-to-lead and fewer no-shows.
Oravaa was featured in Customer Communication (12.7k followers), SaaS (43k followers) and Artificial Intelligence (473.1k followers) on Product Hunt. Together, these topics include over 159k products, making this a competitive space to launch in.
Who hunted Oravaa?
Oravaa was hunted by Vivek Kankran. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Oravaa stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Vivek Kankran