
Enveil
A pioneering Privacy Enhancing Technology company.
Date | Investors | Amount | Round |
---|---|---|---|
- | investor investor investor investor investor investor | €0.0 | round |
investor | €0.0 | round | |
investor | €0.0 | round | |
investor investor investor investor | €0.0 | round | |
investor | €0.0 | round | |
investor investor investor investor | €0.0 | round | |
* | $25.0m | Series B | |
Total Funding | 000k |
USD | 2019 | 2020 | 2021 | 2022 | 2023 |
---|---|---|---|---|---|
Revenues | 0000 | 0000 | 0000 | 0000 | 0000 |
% growth | - | 9 % | 40 % | 100 % | 100 % |
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
Enveil is a pioneering data security company that specializes in protecting data while it is being used or processed, a critical aspect often referred to as 'Data in Use'. The company serves a wide range of clients, including financial institutions, healthcare providers, and government agencies, who require robust data security measures to protect sensitive information. Operating in the cybersecurity market, Enveil's business model revolves around offering advanced encryption technologies, specifically homomorphic encryption, which allows data to be processed without exposing it to potential threats. This ensures that organizations can securely search, cross-match, and derive insights from third-party data sources without compromising the security or ownership of the underlying data. Enveil generates revenue through the sale of its proprietary software solutions and associated services, including implementation and ongoing support. The company is recognized for closing the last gap in data security by providing full lifecycle protection for data in use, thus enabling critical business functions without the risk of data exposure.
Keywords: data security, homomorphic encryption, data in use, cybersecurity, financial institutions, healthcare, government agencies, secure analytics, privacy-preserving, lifecycle protection.