What is FEED AI?
Empowering medical AI research with high quality tools and data.
Problem
Medical AI researchers rely on manual data collection and curation processes, which are time-consuming, resource-intensive, and prone to inconsistencies.
Solution
A healthcare data platform that provides high-quality, pre-processed medical datasets and tools for AI model training, enabling researchers to access labeled, compliant data and streamline AI development (e.g., medical imaging datasets, EHR analysis tools).
Customers
Medical AI researchers, healthcare data scientists, and biotech companies seeking compliant datasets for training diagnostic or predictive models.
Unique Features
Focus on healthcare-specific data compliance (HIPAA/GDPR), curated datasets for niche medical use cases (e.g., rare diseases), and integration with AI research pipelines.
User Comments
Saves months of data preparation time
Only platform with verified oncology imaging data
Simplifies IRB approval documentation
Lacks real-time patient data streams
High cost for academic users
Traction
Launched 6 months ago, $25k MRR from 50+ enterprise/academic clients, featured in 3 medical AI publications.
Market Size
The global healthcare AI market is projected to reach $188 billion by 2030, with data services accounting for 35% of the sector growth (Grand View Research).
