Company Overview
Snapshot
Founded in June 2014 by Adi Eckhouse and Aviv Madar, RealFace operated with 1–10 employees. The company raised $1,000,000 across one funding round. RealFace was acquired by Apple in February 2017.
Business overview
RealFace specialized in developing frictionless face recognition technology for digital authentication and user interaction. The company's real-time software provided scalable face-recognition solutions for businesses and consumers, enabling effortless and secure user verification on mobile and PC. RealFace also created the Pickeez app, which utilized its recognition software to automatically select the best photos from various platforms. The company operated within the Cyber Security sector, focusing on identity security, and leveraged artificial intelligence, machine learning, and image recognition technologies.
Strategic signal
In February 2017, RealFace was acquired by Apple, a significant validation of its facial recognition technology. This acquisition signaled Apple's strategic interest in enhancing its biometric authentication capabilities, particularly for mobile devices, and highlighted the potential for RealFace's innovations to be integrated into a global technology platform.
Company Intelligence Q&A
- What was a key strategic milestone for RealFace?
- RealFace was acquired by Apple in February 2017, marking a significant exit for the company and integrating its facial recognition technology into a major multinational corporation.
- When was RealFace founded and by whom?
- RealFace was founded in June 2014 by co-founders Adi Eckhouse and Aviv Madar.
- What was RealFace's primary focus?
- RealFace focused on innovating digital authentication and user interaction through frictionless face recognition technology, providing scalable solutions for both businesses and consumers.
- What was the total capital raised by RealFace?
- RealFace raised a total of $1,000,000 across one funding round.
- What product did RealFace develop for consumers?
- RealFace developed the Pickeez app, which used its facial recognition software to automatically select the best photos from a user's collection.