Training for customer-facing teams
Customer-facing training, measured and improved.
AI-simulated customer conversations. Automated scoring. Targeted follow-up. Dashboards for every manager.
No credit card · Free during beta
Trusted by customer-facing teams at
How it works
From first upload to measurable improvement.
01
Upload your playbook
Customer profiles, product info, and the criteria you evaluate against. Your material, your rules.
02
Your team practices with AI customers
Voice or text roleplay with LLM-simulated personas that vary budget, intent, and personality every time.
03
Get scoring and targeted follow-up
Soft-skill and product-knowledge evaluations land automatically. Remedial quizzes follow from identified gaps.
Product
Everything needed to train and measure.
AI persona simulation
Configurable customer profiles with budget, intent, and personality traits. Every session is different.
Voice + text roleplay
Real-time audio conversations via OpenAI Realtime or Gemini Live, or typed chat for quiet offices.
Automated soft-skill evaluation
LLM judges score sessions against your criteria — empathy, communication, accuracy — with transparent reasoning.
Product-knowledge checks
Trainees are evaluated against your actual product documentation and policies, not generic retail facts.
Adaptive quizzes
Follow-up questions are generated from identified weaknesses, so remediation targets what each trainee needs.
Manager dashboards
Track individual and team progress over time with drill-down into any session or evaluation.
Pricing
Free while we're in beta.
Start now with no commitment. We'll share pricing details for general availability once the product is ready — teams who join during beta help shape what the pricing becomes.
FAQ
Questions we hear often.
How realistic is the AI customer?
The AI roleplays with configurable personalities, budgets, and intent, so every session is different. Your team gets varied practice instead of a script.
Does it work for voice?
Yes. Real-time audio roleplay is supported alongside text chat, powered by OpenAI Realtime and Gemini Live.
How is evaluation scored?
LLM judges score each session against criteria you define — communication, empathy, product knowledge. Product-knowledge checks use your actual reference material, not a generic knowledge base.
What languages does it support?
The product currently supports English and Korean. Additional languages are on the roadmap.
What about our data?
Each organization is fully isolated. Your content is used only to run your team's training — we don't train models on your data.
How long does setup take?
Minutes. Upload a playbook — personas, product docs, evaluation criteria — invite your team, and start practicing.