Promi
Promi creates digital twins of a company's customer base from first-party data like session recordings, click data, support tickets, and spending patterns. These AI-generated personas simulate A/B tests, prototype feedback, and heatmaps, enabling product teams to predict customer reactions before launch. The platform is built by experts in product analytics and uses privacy-compliant first-party data for reliable predictions.
- Data & Analytics
- Artificial Intelligence
- Software Only
Funding
Raised to date
$500KRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Founder details are not available yet.
Product
Problem
Companies struggle to accurately predict how customers will respond to new products or features before launch. Traditional user testing and feedback methods are slow, expensive, and often rely on small or unrepresentative sample groups, leading to costly missteps and missed opportunities.
Solution
Promi builds digital twins of a company's customer base from first-party data, including session recordings, click data, support tickets, and spending patterns. These AI-generated personas simulate A/B tests, prototype feedback, and heatmaps, providing reliable predictions about how real users will respond to new products or features. By leveraging existing product analytics and behavioral data, Promi enables teams to test and iterate quickly without recruiting external participants. The platform's predictions help product managers and designers make data-driven decisions with greater confidence and speed.
Target Audience
Product managers, UX researchers, and design teams at digital companies who need fast, data-driven insights into customer behavior before shipping new features.
Features
- Digital twin personas constructed from session recordings, click data, support tickets, and spending data
- Simulation of A/B tests, prototype feedback, and heatmaps for pre-launch validation
- Persona profiles include detailed attributes such as average session time, subscription tier, feature adoption speed, support interaction frequency, and page visit patterns
- Built by experts in product analytics, using first-party data for privacy-compliant predictions