Vocaline.ai lets businesses create real-time, multilingual voice agents that integrate with your data, follow your SOPs, and speak with customers over the phone - no code required.
Build AI voice agents in minutes
Vocaline.ai lets businesses create real-time, multilingual voice agents that integrate with your data, follow your SOPs, and speak with customers over the phone - no code required.
Hey Product Hunt, We're launching Vocaline.ai - a tool that helps you build AI voice agents for your business (or your clients') in minutes. These agents can handle customer support, sales, lead generation, even tasks like taking reservations - all over real phone calls. They're multilingual, cost-effective, and integrate easily with your data sources and SOPs. You can try a live demo here (no signup or credit card required): https://www.vocaline.ai/agent Or call: +1 445 447 3802 The idea for th
This looks like the need of the hour. Some interesting key features are : easy to use and configure, multilingual, scalability and cost effectiveness. Use of AI can revolutionarise the area where support agents are required, it can actually save a lot of time and manual effort.
This is what voice AI should look like. Huge congrats on the launch. We’ve launched Mukh.1 as well, a no-code tool to build custom AI agents and workflows. Check it out.
Impressive work! An AI live agent that can handle real-time customer interactions is a game changer for support teams. It’s great to see AI moving beyond static chatbots to provide more dynamic and human-like responses. Has this been tested?
I tried Vocaline.ai and it’s seriously next-level — set up a voice agent that followed our SOPs and spoke to customers in multiple languages, all without writing a single line of code. It’s like having a 24/7 support pro built right in.
A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.
Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.
Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.
The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.