What they sell, in one line
Testing and monitoring platform that checks voice and chat AI agents work well before and after launch.
Who you'd be calling
Engineering leads, heads of AI, and product managers at companies building voice or chat AI agents.
Your opener
“Hi [Name], this is [You] from Coval. I understand your team is building a voice AI agent. How are you testing it before it talks to real customers?”
Problems you solve for them
- Voice agents break in ways that are hard to catch before customers do
- Manual testing by calling the bot over and over is slow
- Hard to prove quality once the agent is live
Discovery questions to ask
- How do you test your voice agent today?
- How do you find out when it gives a bad answer in production?
- How often do you ship changes, and how do you check nothing broke?
Objections they'll throw at you
“I'm busy right now.”
→ No worries, I'll keep it short. Is there a better time this week for a quick 10-minute call?
“Not interested.”
→ Got it. Before I go, is testing the agent something your team has already solved?
“We built our own testing.”
→ That's smart, many teams start there. How much engineering time does keeping it up take?
“Send me an email.”
→ Happy to. Is it better to send it to you or to whoever owns agent quality on your team?
Competitors worth knowing
Hamming, Cekura, Braintrust
Interview tips for this company
- Learn what an AI agent, an eval (a test for AI answers), and a hallucination are.
- Your buyers are technical, so be direct, curious, and skip the fluff.
Turn this into a full practice scriptOpener, pitch, questions, objections, voicemail and close for Coval.GenerateWritten from public information about Coval to help you practice. Ask an insider what their role play looked like; it's the best prep there is.