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Rollup

Rollup is an on-device API that lets consumer apps personalize the user experience from day one by reading a user's existing photo library. It converts years of visual history—routines, interests, places, and even screenshots—into structured context without uploading original photos. This eliminates the cold-start problem and replaces lengthy onboarding questionnaires with a single opt-in.

Traction 7/10
San Francisco, United States · HQ
Founded 202610+ followers
  • Artificial Intelligence
  • Developer Tools
  • Software Only
  • Data & Analytics
Updated 10 days ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Apps face a cold-start problem: when a new user signs up, there is no history or context to personalize the experience, leading to generic onboarding and lower engagement. Gathering this data typically requires lengthy questionnaires or invasive tracking, which frustrates users and delays meaningful personalization.

Solution

Rollup provides an on-device API that converts a user's existing photo library into structured, app-ready context. After a one-time opt-in, Rollup analyzes photos locally to infer routines, aspirations, and personal preferences—like age group and interests—without uploading originals. The extracted context includes recurring activities, social circles, favorite places, and style preferences, all derived from years of visual history. This lets apps personalize experiences from day one, turning a passive camera roll into an active source of user understanding.

Target Audience

Primary customers are consumer app developers and product teams seeking to personalize onboarding, recommendations, and content delivery without requiring users to fill out lengthy profiles or share raw photo data.

Features

  • On-device analysis with a one-time opt-in; original photos and videos are never uploaded
  • Structured longitudinal context covering routines, aspirations, social patterns, places, and changes over time
  • Demographics inference including age group, gender, interests, budget, and location preferences
  • Event-level insights such as workout frequency, travel habits, and social group recurrence extracted from timestamps and image content
  • SDK/API integration designed to plug into existing apps and test personalization lift against current cold-start baselines
This profile is AI-generated and may contain inaccuracies.