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Sid45

Yes, apart from using our AI-generated scenarios, users can also define their scenarios
Yes, would love to chat. You can block my calendar here: cal.com/kabrasidhant.

Agree to everything you said. That is why we have our observability platform, which allows your live calls to be monitored. The idea is to use the observability platform to run real-life simulations so as you make fixes, you can test it in simulation environment

Yes, Ishan, we are working with clients who have their own custom builds instead of using a platform. All we need is your bot context and an endpoint to run simulations.
Thanks a lot. The focus currently is to link the observability and testing environment so that test sets can automatically be created based on findings in actual production calls. Currently, it requires human intervention to create a scenario for testing based on findings of production calls.
yeah, we are Vocera AI.
Thanks a lot.

Yes, we will be hiring for founding engineers pretty soon. Please reach out to [email protected] if you are interested

It’s a valid critique. In hindsight, this should have been caught earlier.
Great question! We've seen significant demand for testing and observability across sectors like healthcare, insurance, home services, and e-commerce. You’re correct—many of our customers also rely on tools like Voiceflow, Vapi, and others to build their agents.

What they love about our platform is having both testing and observability in one place. Observability helps identify issues while testing allows them to simulate and prevent those problems before they escalate. This dual approach is especially helpful for teams dealing with voice-specific challenges, industry-specific nuances, or company-specific edge cases.

Our tool is particularly valuable for teams stuck with manual testing—it saves time in iterating the bot and ensure the edge cases are taken care of

Our onboarding currently includes a quick demo to ensure users get the most value out of the tool and understand its capabilities in detail.

Having said that we have a role play which you can try. In roleplay, you talk with our AI and then we evaluate your performance.

Thats great. We also generate adversarial scenarios for our customer's voice agents like you did. The roleplay example was made for you to get a sample evaluation of your performance. In reality, we generate simulations automatically and provide analytics on your AI agent's performance, as demonstrated in the demo video.

Glad you liked the voice quality.

Feedback taken. Thanks for your input. Definitely we will evaluate this
You are right. We were unaware of Stryker's Vocera prominence when we chose the name. Healthcare voice agents are a huge space. We have 6 clients in healthcare already.

We will discuss and evaluate the name internally to avoid confusion or potential issues. Thanks a lot for your feedback

Launch HN: Vocera (YC F24) – Testing and Observability for Voice AI

Hey HN, we’re Shashij, Sidhant, and Tarush, founders of Vocera AI (https://www.vocera.ai) – a platform that automates the testing and monitoring of AI voice agents. We’re building the product we wish we had when we were developing voice agents. Here’s a demo video: https://www.youtube.com/watch?v=aRtAb_E60jY. You can engage in a roleplay as well which we made just for fun:...

( Read More... | 32 comments | 12 points | on HN )