Show the product.
Protect the customer data.
Create realistic demo records, CRM scenarios, and evaluation data for the systems supporting your revenue team.
Discuss your use caseA good demo should not depend on live records.
Empty environments hide product value. Production copies expose information unnecessarily. Purposeful synthetic data helps demonstrate real workflows with records designed for the story.
Product demonstrations
Model relevant accounts and workflows in a controlled demo environment.
CRM workflow testing
Exercise pipeline transitions, field rules, and unusual record relationships.
Revenue AI evaluation
Assess model behavior across defined account and activity scenarios.
From a challenge
to a dataset.
A sales engineering team defines a fictional pipeline with related accounts, opportunities, and activities. It reviews consistency and uses the approved records to demonstrate product workflows without sharing customer data.
Make the requirements
the starting point.
Agree on the supported data types, generation approach, and evidence needed before a dataset is used.
- A schema for linked demo records
- Scenarios matched to your product story
- Quality checks for record consistency
- A refresh plan for demo environments
Build the data behind better sales.
Bring your toughest data problem.
Let’s work out what comes next.