Launch voice agents faster with simulation & monitoring
Vocera helps AI developers build production-ready voice agents 10X faster. It generates adversarial scenarios, simulates realistic calls and gives actionable insights to your agents. It also monitors production calls to ensure complete reliability.
Hi Product Hunt Fam 👋 - Shashij, Sidhant, and Tarush here from Vocera AI. Vocera lets you test and monitor your AI Voice Agents automatically. We are in the current YC Fall 2024 batch!
Why did we build Vocera? 💡
Six months ago, we were building voice agents in healthcare 🏥 and spent too much time testing them manually. Yet, some of our calls failed in production. Vocera was born from that experience
Team Background 👥
Shashij has published a paper on AI systems testing from his research at ETH Zurich and Google. Tarush has developed simulations for ultra-low latency trading, and I have led product and growth teams before, including a conversational AI company. All of us met at IIT Bombay and have been friends for the last 7 years.
Problem: Anything can go wrong in production 🚨
🛑 Demonstrating reliability to a customer before going live is challenging.
⚠️ Manually calling & testing your AI voice agents is incomplete and error-prone.
🔎 Identifying all the edge cases in your workflow is difficult
⏳ Monitoring all production calls manually is time consuming.
Our Solution: End-to-end testing and observability for all your calls ✅1. Simulate Conversations: Our AI recreates realistic interactions using a library of workflows and personas.
2. Automated Scenario Generation: Pass in your call script/recording, and our AI will generate 100+ possible scenarios.
3. Customization: Custom personas and evaluation metrics to cater to your client's priorities.
4. Monitoring: Monitor & analyze all your production calls.
Who is this for?
Anyone building Voice AI agents. If you want to make your voice agents reliable or in general want to chat about Voice AI, book my calendar here 🗓️ or reach out to [email protected] 📧.
Demo 🎥
You can check out our demo video here.
If you'd like to engage in a fun roleplay, you can talk with our agent here: You will act as a customer support representative and our agent will call you for a refund, order status, and product recommendation. After the call, we will give you an evaluation.
Please note: In reality, we generate hundreds of simulations automatically and provide detailed analytics on your AI agent's performance as demonstrated in the demo video. Shoutout 🙌
Thanks to Michael Seibel for hunting us and Steven Pham for helping us with the launch. 🎉
About Vocera on Product Hunt
“Launch voice agents faster with simulation & monitoring”
Vocera launched on Product Hunt on November 13th, 2024 and earned 597 upvotes and 80 comments, earning #1 Product of the Day. Vocera helps AI developers build production-ready voice agents 10X faster. It generates adversarial scenarios, simulates realistic calls and gives actionable insights to your agents. It also monitors production calls to ensure complete reliability.
On the analytics side, Vocera competes within Analytics, Developer Tools and Artificial Intelligence — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how Vocera performed against the three products that launched closest to it on the same day.
Who hunted Vocera?
Vocera was hunted by Michael Seibel. 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.
For a complete overview of Vocera including community comment highlights and product details, visit the product overview.
Michael Seibel