Coval helps developers build reliable voice and chat agents faster with seamless simulation and evals. Create custom metrics, run 1000s of scenarios, trace workflows and integrate with CI/CD pipelines for actionable insights and peak agent performance.
@wiscocurd You can test agents that rely on tool calls by simulating scenarios to ensure correct tool usage and validate input arguments. We provide insights by comparing simulated transcripts with the actual tool calls made, highlighting any discrepancies. From there, we offer an aggregated summary and allow you to dive deeper into any potential errors for a detailed analysis.
@luke_harries thank you!
One of the biggest surprises has been seeing just how many voice-agent companies still manually test their agents and how tedious that process really is.
From an eval perspective, it’s been surprising to discover how powerful it is to map out agent workflows and pinpoint when they go off track. This has definitely been one of the biggest “aha” moments for our voice-agent customers.
Report
LLM evals are hard, but they're necessary. You can't create a great product without proper evaluations.
We've implemented our own evals, but I can't wait to replace them with a service where I know a lot of brainpower has gone into it.
Coval feels like the perfect match for us. Booking a demo.
@zvada Lets talk!! Many of our customers come to us after they have built out an MVP of the system in house and then know what they are looking for in a product.
https://bit.ly/coval-demo
Whip
Coval
Coval
ElevenLabs
Coval
Coval
Coval
Coval