Practice that feels like the real thing.

Build lifelike simulations across every channel, so agents arrive at every conversation confident, prepared, and ready for whatever comes next.

Simulations so real, agents forget they're training.

Build immersive customer simulations

Generate realistic scenarios across personas, support channels, difficulty levels, and languages.

• Text Message
• Video Call
• Phone
• Mail

Skills Evaluation:

• Poor performance (0-3 points):
  Lacks a warm greeting and misuses customer names. Doesn't mention agent dealer details, and fails to ask about test drives or feedback.

• Average performance (4-6 points):
  Shows satisfactory listening skills but sometimes misses client concerns, leading to partial issue resolution. Needs improvement in understanding context.

• Strong performance (7-10 points):
  Demonstrates strong active listening by understanding customer needs and providing prompt responses. Uses confirming queries to ensure comprehension and resolves inquiries effectively.

Set the standard for realistic role-plays.

Generate personas that mirror real customers. Rich details, authentic accents, adjustable difficulty, and lightning-fast replies make every simulation feel like the real thing.

Mirror and train on your agents' support stack.

Recreate your support workflows so agents can practice every click, field, and step, and get scored on how well they follow them. Backend simulations build operational precision long before agents touch live systems.

Higher CSAT starts with better practice.

Give agents rich practice, grounded in your customers’ needs and your real support stack. With stronger skills and fewer mistakes, agents deliver the kind of experiences that move CSAT in the right direction.

Alex Dimitrov
Head of Learning and Development

"We have complete visibility into quality across hundreds of thousands of conversations. We can verify agent readiness before it impacts customers."

Case Study

18% Reduction in average handling time
3% Increase in CSAT scores

Case study