Souvik B.

Building something new | Quantitative R&D @ Tudor | Core OS Kernel Engineer @ Apple | Angel Investing

๐Ÿ“ United States๐Ÿ”„ Updated September 2026๐Ÿ’ผ 1 investments๐Ÿ“… 2 years investing๐Ÿ—“ Last invested Oct 2024
Angel investor๐ŸŒ United States
1
Total investments
1
Early stage
0
Mid stage
0
Late stage
2y
Years active

Portfolio

1 investments ยท sorted by recency
All investments
Early stage
Mid stage
Late stage
Investor
Oct 2024
Our mission is to get healthcare providers paid by automating the remediation of their health insurance claim denials. We have created Daniel - our AI platform that utilizes Machine Learning to fix denied claims by analyzing each denial, determining what is wrong, and providing recommended real time fixes to the claim, automatically re-submitting for approval and payment. Our vision: An environment where every healthcare claim denial is processed in real time, efficiently and accurately, allowing providers to dedicate more time to patient care. Using the Red Sky Health program improves revenue by identifying opportunities for chronic care management. This benefits patient care, increases quality scores and generates potential for incentive payments. The use of coding recommendations improves claims accuracy ensuring no over or underbilling.
Experience ยท 1 entries
All (1)
Investments (1)
2024
Investor
Oct 2024
Our mission is to get healthcare providers paid by automating the remediation of their health insurance claim denials. We have created Daniel - our AI platform that utilizes Machine Learning to fix denied claims by analyzing each denial, determining what is wrong, and providing recommended real time fixes to the claim, automatically re-submitting for approval and payment. Our vision: An environment where every healthcare claim denial is processed in real time, efficiently and accurately, allowing providers to dedicate more time to patient care. Using the Red Sky Health program improves revenue by identifying opportunities for chronic care management. This benefits patient care, increases quality scores and generates potential for incentive payments. The use of coding recommendations improves claims accuracy ensuring no over or underbilling.