Realistic AI personas, built from your customer conversations
Synthetic Customers analyze your customer conversations, extract the behavioral patterns inside them, and produce a population of personas that reflect how your customers actually communicate, think, and feel.
Meet a Synthetic Customer
Has seventeen questions. Read every word of your T&C. Still has questions.
Already decided what happened. Has the full story ready. Sticking to it.
Knows your system better than you do. Didn’t want to.
Something is wrong. It’s probably serious. Don’t suggest otherwise.
True to life, down to the details
Synthetic Customers capture how customers actually show up in a conversation: the incomplete sentences, the topic shifts mid-call, the emotion brought into every interaction. The closer your simulations are to real customer behavior, the more reliable your testing, training, and decisions become.
Synthetic Customer key features
Synthetic Customers organize personas into a population ranked by traffic volume, so teams can see exactly which behaviors matter most, what share of their customer base each persona represents, and which edge cases are worth accounting for.
Every Synthetic Customer links back to the conversations it was built from. Teams can inspect the source data behind any persona, understand why a scenario was prioritized, and trace any result back to a specific customer behavior.
Evolves alongside your customers
Customer behavior changes as your business does. Refresh Synthetic Customers from your most recent conversation data as new products launch, policies shift, or new segments emerge, so the personas your teams rely on reflect how customers actually behave today.
Put your Synthetic Customers to work
Validate AI agents against Synthetic Customers before launch, with confidence that testing reflects the customers your agent will actually encounter in production.
Give agents practice conversations with simulated customers that reflect how real customers actually behave, building the skills to handle complex, high-stakes situations before they happen.
Pressure-test decisions before they go live. Interact directly with specific customer segments to gauge how they might respond to a product change, new policy, or messaging shift, before it reaches real customers.
Surface how different customer segments behave across the customer journey: where they struggle, where they disengage, and what drives them to escalate or stay. Anticipate what your customers are likely to need next, so your team can act before friction becomes a problem.
Request a demo
See how Synthetic Customers can test your AI agents, train your team, and surface real customer insights, built from your own conversation data
