
Nym
Develops a unique medical NLU software and service.
Date | Investors | Amount | Round |
---|---|---|---|
- | investor investor investor investor investor investor | €0.0 | round |
investor | €0.0 | round | |
N/A | €0.0 | round | |
investor investor investor investor investor investor investor investor | €0.0 | round | |
investor investor investor investor investor investor investor | €0.0 | round | |
* | $47.0m | Growth Equity VC | |
Total Funding | 000k |
USD | 2019 | 2020 | 2021 | 2022 | 2023 |
---|---|---|---|---|---|
Revenues | 0000 | 0000 | 0000 | 0000 | 0000 |
% growth | - | - | (56 %) | 121 % | 63 % |
EBITDA | 0000 | 0000 | 0000 | 0000 | 0000 |
Profit | 0000 | 0000 | 0000 | 0000 | 0000 |
EV | 0000 | 0000 | 0000 | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
R&D budget | 0000 | 0000 | 0000 | 0000 | 0000 |
Source: Dealroom estimates
Related Content
Nym Health operates in the healthcare technology sector, specifically focusing on Revenue Cycle Management (RCM). The company has developed a platform that automates the medical coding process, a critical component of healthcare billing. By leveraging clinical language understanding, a form of artificial intelligence, the system analyzes patient records and automatically assigns the appropriate medical codes required for billing and insurance claims.
The primary clients for this service are healthcare providers, such as hospitals and clinics, within the U.S. healthcare market. The business model is centered on providing this technology as a service to these institutions. By automating the coding process, Nym aims to reduce operational expenses, minimize claim denials from insurance companies, and accelerate the overall billing cycle. This leads to improved cash flow and financial stability for the healthcare providers it serves. The company generates revenue by charging for access to its AI-powered coding platform.
Keywords: medical coding, revenue cycle management, healthcare billing, artificial intelligence, natural language understanding, clinical language, autonomous coding, claim denials, healthcare finance, medical administration