
Roseman Labs
Platform that enables organizations to collaborate on (privacy) sensitive data.
USD | 2022 | 2023 |
---|---|---|
Revenues | 0000 | 0000 |
% growth | - | 35 % |
EBITDA | 0000 | 0000 |
Profit | 0000 | 0000 |
EV | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x |
R&D budget | 0000 | 0000 |
Source: Dealroom estimates
Related Content
Roseman Labs is a startup that operates in the data analytics sector, offering a unique solution for data collaboration without compromising sensitive information. The company's primary service is to provide a platform for businesses to analyze combined data sets without revealing their sensitive input data. This means that personal or competitive information can be used in a trusted and privacy-preserving manner, making data that is usually too sensitive to share accessible for joint analyses.
The company's business model is based on providing decentralized analytics on encrypted data. This approach is faster to implement compared to traditional ways of centralizing data for computations, reducing both technical and legal complexity and speeding up the implementation of data collaborations.
Roseman Labs serves clients who need to analyze sensitive data in a secure manner. This could include businesses in industries such as finance, healthcare, or any sector where data privacy is paramount. The company makes money by charging these businesses for access to their data collaboration platform.
One of the key technologies Roseman Labs uses is Secure Multi-Party Computation (MPC), a state-of-the-art privacy technology. MPC allows multiple parties to compute functions over their inputs while keeping those inputs private, making compliance with data protection regulations like the GDPR much simpler compared to traditional data sharing methods.
In summary, Roseman Labs is a data analytics startup that provides a secure platform for businesses to collaborate on data analysis without revealing sensitive information. The company operates in the data analytics market, serving clients who need to analyze sensitive data in a secure manner.
Keywords: Data Analytics, Data Collaboration, Sensitive Data, Privacy-Preserving, Secure Multi-Party Computation (MPC), Decentralized Analytics, Encrypted Data, GDPR Compliance, Data Protection, Data Sharing.