Your agents sound like your best team members.
Customer-facing agents need the right tone, accurate answers, and smart escalation. Iterative training loops improve all three — scored on your real conversations, retrained automatically when scores drop.
Train tone until it matches your brand.
Brand-consistent, empathetic, professional — no robotic language, no over-promising. The training loop scores tone on every conversation and adjusts until your agents sound like your best team members.
Full transparency on every improvement.
Every training iteration produces a diff — instruction edits, escalation threshold changes, tone adjustments. You approve what makes sense and roll back what doesn't.
You know which dimension to fix first.
Generic satisfaction scores hide what's broken. Xplore evals score each dimension independently so training targets the right weakness — whether it's hallucinated answers, stiff tone, or missed escalations.
Quality stays high even as usage grows.
Production monitoring detects tone drift, accuracy drops, and escalation failures. When scores cross your thresholds, the platform suggests a retraining action — or starts the loop automatically.
Train conversational agents that represent your brand.
Tone, accuracy, escalation — scored on real conversations, improved through iterative training.