We built Watcherr because teams ship voice and chat AI agents fast — then realize production quality is basically invisible until something goes wrong: a bad refund answer, a policy miss, or a frustrated customer no one flagged. Watcherr is an evaluation platform for those agents. You define quality dimensions (scored, flags, boolean checks), run evaluations in realtime (webhooks + connectors) or on-demand (CSV batches), and review results in dashboards — built for ops and QA teams, not just engineers. **Who it's for** • Teams running voice/chat bots in production (Vapi, Retell, Bland, Intercom, or custom webhooks) • Agencies that need to prove agent quality to clients after go-live • Anyone tired of manual spot-checks that don't scale **Launch day — we'd love your input on:** 1. What quality signals do you wish you could measure automatically? 2. Realtime monitoring vs batch review — which matters more for your workflow? 3. What would make you trust an AI agent evaluation score? **Try it** → Start free (Explore plan): watcherr.app/signup → Book a walkthrough: watcherr.app/book-demo I'll be here all day answering every question — setup, connectors, pricing, roadmap, all of it. What stack are you running for voice/chat agents today? Drop it below 👇

Watcherr

Evaluate voice & chat AI agents for quality and compliance

Evaluate voice & chat AI agents for quality and compliance