CardioID Technologies
Develops security, wellness, and entertainment applications around cardiac signals using seamless sensing technology.
| Date | Investors | Amount | Round |
|---|---|---|---|
| - | investor investor investor | €0.0 | round |
| investor investor | €0.0 | round | |
| investor | €0.0 | round | |
| N/A | €0.0 | round | |
| investor | €0.0 | round | |
N/A | Support Program | ||
| Total Funding | 000k | ||
| EUR | 2017 | 2018 | 2019 | 2020 | 2022 | 2023 | 2024 |
|---|---|---|---|---|---|---|---|
| Revenues | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
| % growth | 31 % | (10 %) | 84 % | 20 % | - | (64 %) | (6 %) |
| EBITDA | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
| % EBITDA margin | 4 % | (29 %) | 2 % | 13 % | - | - | - |
| Profit | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
| % profit margin | 1 % | (32 %) | - | 7 % | - | 13 % | 3 % |
| EV | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
| EV / revenue | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
| EV / EBITDA | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
| R&D budget | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
Source: Company filings or news article
Related Content
CardioID Technologies, founded in 2014 by André Lourenço, is a company that has developed a technology for biometric identification using the electrocardiogram (ECG) signal. The company leverages the fact that each individual's ECG signal has a unique shape, making it a reliable biometric marker.
The core of CardioID's offering is a software solution that can be integrated into various hardware platforms. Their technology uses proprietary algorithms and machine learning to analyze the ECG signals collected from a person's hands, for instance, through a car's steering wheel. This allows for continuous and seamless user identification and monitoring without requiring any specific action from the user.
CardioID operates in both the automotive and healthcare markets. In the automotive sector, their "CardioWheel" product is designed to be integrated into steering wheels to monitor the driver's identity, drowsiness, and stress levels, thereby enhancing vehicle safety and security. For the healthcare industry, the technology can be used for remote patient monitoring and for securing access to sensitive medical data.
The business model revolves around licensing their software to original equipment manufacturers (OEMs) and other businesses that can embed the technology into their products. This B2B approach allows them to scale by integrating with established players in their target markets.
Keywords: ECG biometrics, automotive safety, biometric identification, driver monitoring, healthcare security, machine learning, signal processing, seamless authentication, remote patient monitoring, B2B software