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About Brighter AI

Brighter AI is a privacy software platform from Brighter AI Technologies that focuses on data anonymization. It provides advanced facial recognition masking, data encryption, and real-time data processing so organizations can protect user privacy while analyzing video data. Brighter AI helps businesses comply with data protection regulations and mitigate privacy risks associated with the use of AI technologies. The platform is designed to work with various industries, ensuring that sensitive information remains confidential during data collection and analysis. Key capabilities: facial recognition masking data encryption real-time data processing compliance support privacy risk mitigation Best for: organizations that need to secure user data while using artificial intelligence for analysis.

Brighter AI Details

Vendor
Brighter AI Technologies
Year Launched
2017
Location
Sophienstraße 21, 80333 Munich, Germany
Deployment
cloud
Training Options
demo, account manager, community
Countries Served
All Countries.
Languages
English, German, French, Spanish.
Users
Researchers, Data Scientists, Developers, Security Professionals
Industries Served
Automotive, Healthcare, Public Sector, Research
Tags
Deep Learning

Brighter AI's In-App Market Place

Does Brighter AI have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

1

Mini Apps

N/A

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

USD ($), EUR (€)

Pros & Cons

  • Adheres to major global privacy regulations like GDPR, CCPA, PIPL, and APPI.
  • Deep Natural Anonymization allows analytics and machine learning while protecting identities.
  • Offers Precision Blur, Deep Natural Anonymization, and Full Body Blur for various needs.
  • Provides a robust REST API for easy integration into existing systems.
  • Employs TLS encryption and secure, isolated cloud processing in Europe.
  • The solution is specifically for image and video anonymization; it does not offer audio or document redaction tools.
  • While customization is a pro, it might require some initial fine-tuning of detection thresholds for optimal results in specific use cases.
  • Data processing occurs on MS Azure cloud, which might be a consideration for users with specific on-premise requirements.

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