For universities and companies engaged in computer vision, machine learning and deep learning research, brighter AI supports data collection, sharing and storage with classic and AI-compatible redaction tools providing the highest detection accuracies.
We Understand Your Needs
Our goal is to accelerate responsible AI research and innovation. We take care of privacy matters so you can focus on cutting-edge research and exchange data and publications.
Our redaction software can be easily integrated via a REST API- The setup via our secure cloud API or on your own GPU servers is suitable for data collection and processing at scale.
Our unique Deep Natural Anonymization is suitable with the training of machine learning algorithms. The solution has been approved by privacy professionals as well as research scientists.
Avoid severe legal fines and benefit from our experience with legal requirements for data acquisition projects. Data privacy officers have approved our solution for jurisdictions such as GDPR (EU), CCPA (US) and CSL (China).
By implementing our state-of-the-art privacy technologies, you become an innovation leader, protect your brand reputation and build trust amongst customers, investors and partners.
Privacy by Design
Integrate “privacy by design” into your existing data collection and processing flow. This saves time, legal risks and empowers you to focus on your core activities and data strategies.
Deep Natural Anonymization
With Deep Natural Anonymization as a feature of brighter Redact, you are able to anonymize personally identifiable information (PII) like faces by generating artificial replacements as shown in the picture. The generated data is compliant with the latest privacy standards such as GDPR and CCPA and can be processed further, e.g. for analysis or training machine learning models.
Suitable For Your Use Case
With our flexible solution and rich features, we are able to satisfy your individual needs. Explore different use cases to see what brighter Redact is capable of. The applications range from scientific and behavioral research to publications and collaborative databases.
Acquiring, processing, analyzing and understanding data
Human-human or human-computer interaction
Sample data in publications
Cross-border & -partner sharing of research data
“Together with our University partners and Facebook AI Research, we decided to use the brighter AI software to anonymize datasets within our computer vision research. We appreciate the accuracy of brighter Redact, the possibility of a simple on-premise setup, as well as the great support by the brighter AI team.”