The startup operates an NFT-based platform that enables artists to engage with their fans through decentralized autonomous organizations (DAOs), fostering community-driven support and funding. This approach allows artists to cultivate deeper connections with their audience while providing fans a structured way to invest in and champion their favorite creators.
Funding
$5.3M raised to dateRaised 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
Product
Problem
Traditional methods of understanding complex chronic diseases rely on limited datasets and often lack the integration of diverse data types. This makes it difficult for scientists to identify new diagnostics and treatments effectively. Siloed data prevents a comprehensive understanding of disease mechanisms and patient responses.
Solution
Cosigned operates a living data bank that integrates multi-omic molecular profiles with longitudinal real-world data to facilitate AI-driven discovery in complex chronic diseases. The platform fuses diverse data types, creating a comprehensive resource for researchers. By combining molecular data with real-world patient information, Cosigned enables a deeper understanding of disease progression and treatment efficacy. This integrated approach supports the development of more effective diagnostics and personalized treatments. The platform aims to accelerate the pace of medical discovery by providing a unified, accessible data ecosystem.
Target Audience
The primary users are scientists and researchers focused on understanding and treating complex chronic diseases.
Features
- Multi-omic molecular profiling to capture detailed biological information
- Longitudinal real-world data integration for tracking patient outcomes over time
- AI-driven analytics to identify patterns and insights from complex datasets
- Secure data storage and access controls to protect patient privacy
- Collaborative platform for researchers to share and analyze data