Nymiz
B2B SaaS for data masking powered by AI.
| Date | Investors | Amount | Round |
|---|---|---|---|
| - | investor investor investor investor investor investor | €0.0 | round |
| investor | €0.0 | round | |
| investor | €0.0 | round | |
| investor | €0.0 | round | |
| investor | €0.0 | round | |
| investor | €0.0 | round | |
| investor | €0.0 | round | |
| investor | €0.0 | round | |
| investor | €0.0 | round | |
| investor investor investor | €0.0 | round | |
| investor | €0.0 | round | |
| investor | €0.0 | round | |
| investor | €0.0 | round | |
| N/A | €0.0 | round | |
* | €2.8m | Growth Equity VC | |
| Total Funding | 000k | ||
| EUR | 2020 | 2021 | 2022 | 2023 | 2024 |
|---|---|---|---|---|---|
| Revenues | 0000 | 0000 | 0000 | 0000 | 0000 |
| % growth | - | (95 %) | 900 % | 395 % | (28 %) |
| EBITDA | 0000 | 0000 | 0000 | 0000 | 0000 |
| Profit | 0000 | 0000 | 0000 | 0000 | 0000 |
| % profit margin | - | - | - | (64 %) | (122 %) |
| 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: Company filings or news article
Related Content
Nymiz is a company that specializes in data privacy, offering a cloud-based, AI-powered platform for data anonymization and pseudonymization. The company's software utilizes Natural Language Processing (NLP) to automatically identify and protect personal and sensitive data across multiple languages.
The platform is designed to handle both structured and unstructured data formats, including documents, spreadsheets, and images. This capability allows businesses to safeguard sensitive information while still being able to use the data for analytics and other purposes. Nymiz operates on a business-to-business (B2B) software-as-a-service (SaaS) model, providing its solutions to other companies.
Founded in 2019 in Bilbao, Spain, Nymiz has since been acquired. The company's focus is on helping organizations comply with data protection regulations by providing tools for reliable and efficient data anonymization.
Keywords: data privacy, data anonymization, pseudonymization, natural language processing, data security, B2B, SaaS, cloud-based, structured data, unstructured data.