Koodos Labs develops Shelf, a platform for users to collect, control, and connect their personal context data in one centralized location. This infrastructure allows applications and AI agents to access personalized, real-time understanding of the user to perform actions on their behalf. The offering empowers users with data agency while providing developers with the necessary context layer for building agentic products.
Funding
Funding not disclosed
Founders
Product
Problem
Users lack a unified way to manage and share their diverse online consumption data, leading to fragmented digital identities and missed opportunities for connection. Existing social platforms do not provide adequate control over personal data, limiting users' ability to leverage their interests for personalized experiences and community building.
Solution
Koodos Labs offers Shelf, a personal data manager and social network that allows users to aggregate and control their online consumption data. Shelf creates a dynamic "digital shelf" that automatically updates as users consume content across various platforms. Users can customize their shelf, share their interests with others, and discover mutual connections based on shared tastes. The platform is built on an infrastructure that enables users to reclaim control over their consumption data and provision third-party access for personalized experiences while maintaining privacy.
Target Audience
The primary target audience is Gen Z and young adults who are active consumers of online media and seek a more personalized and controlled way to manage and share their digital identities.
Features
- Automatic aggregation of user consumption data from various online platforms
- Customizable "digital shelf" to showcase personal interests and media consumption
- Social networking features to connect with others based on shared tastes
- User-controlled data permissions for privacy and personalized experiences
- iOS and Android mobile applications for convenient access and management