Eder Labs, Inc.

Innernet User Memory: Revolutionizing digital personalization through advanced AI and graph technology. Our system constructs and maintains dynamic knowledge graphs for individual users, synthesizing zero-party data with broader digital footprints. Leveraging Retrieval-Augmented Generation (RAG), we enable context-aware querying of this rich user data, providing unprecedented insights into evolving user preferences and intentions. Key technical features: - Neo4j-powered graph database for efficient storage and querying of complex user relationships - FastAPI backend ensuring high-performance API interactions - OpenAI integration for sophisticated natural language processing - Docker-based architecture for scalable, easy-to-deploy solutions Innernet empowers businesses to create hyper-personalized experiences across e-commerce, content streaming, fintech, and more. By continuously updating user profiles based on real-time interactions, we enable timely, relevant digital experiences that significantly improve engagement and conversion rates. Our privacy-first approach ensures compliance with data protection regulations while delivering unparalleled personalization capabilities.