Last updated March 24, 2026
Rep.ai White Label
Closed SourceEnterprise white-label version of Rep.ai's behavioral AI sales agent with full customization for brands and platforms
Best for: Enterprise ecommerce platforms and retail groups that want to embed Rep.ai's behavioral AI shopping technology under their own brand
Target Audience
Enterprise platforms and retail groups wanting embedded behavioral AI shopping
Overview
Rep.ai White Label is the enterprise-grade, fully customizable version of Rep.ai's behavioral AI sales agent technology, designed for brands and platforms that need to embed intelligent shopping assistance under their own identity. While the standard Rep.ai product is a Shopify app, the White Label version is platform-agnostic and offers complete control over branding, conversation flows, AI behavior, and data handling. The platform uses the same proprietary behavioral AI that powers Rep.ai — analyzing visitor behavior in real time to identify high-intent shoppers and proactively engage them with personalized assistance. White Label customers get dedicated model training, custom integration support, and SLA-backed uptime guarantees. The solution is particularly popular with multi-brand retail groups that want consistent AI shopping technology across their portfolio while maintaining distinct brand identities for each storefront.
Key Features
Integrations
Specifications
Pros
- Proven behavioral AI technology
- Platform-agnostic flexibility
- Dedicated enterprise support
- Multi-brand portfolio management
Cons
- Premium enterprise pricing
- Requires dedicated onboarding
- Minimum contract commitment
- Limited self-service options
Quick Facts
- Pricing
- Custom pricing
- Starting Price
- $499/month
- Category
- White Label Shopping Agents
- Founded
- 2020
- HQ
- San Francisco, USA
- Company Size
- 51-200
Pricing Details
Starting at $499/month for single-brand white-label deployment. Multi-brand pricing at $999/month for up to 5 storefronts. Enterprise with custom pricing includes dedicated model training, SLA, and custom integrations.
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