Protect every identity in public.

We develop game-changing image and video anonymization software to protect identities. Anonymization is crucial to comply with privacy regulations like GDPR, CCPA, APPI and CSL. At the same time, data quality is the backbone of AI innovation and machine learning. With our data protection software, there is no trade-off between privacy and video analytics.

Face Anonymization

With increasing capabilities of facial recognition technology, public video data collection comes with great risks. brighter AI’s Precision Blur is the most accurate face redaction solution in the world. Deep Natural Anonymization is a unique privacy solution based on generative AI. It creates synthetic face overlays to protect individuals from recognition, while keeping data quality for machine learning.

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License Plate Anonymization

With Precision Blur, brighter AI offers advanced video redaction for license plates worldwide. Deep Natural Anonymization is image and video anonymization software that replaces license plates with replicas. Therefore, it has no negative impact on neural networks and can be used for autonomous driving.

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Benefits

Integrate seamlessly
(on-premise, cloud, edge)

Accelerate data
collection

Empower data
exchange

Protect identities against
automatic recognition

Comply with regulations
(GDPR, CCPA, CSL)

Enable analytics & AI
(natural anonymization)

Why Deep Natural Anonymization?

Deep Natural Anonymization protects personal information in images with artificial replacements. Therefore, it is the only video redaction solution compatible with analytics and machine learning.

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Industries

Automotive

Automotive

for training and serial production

Retail

Retail

for video analytics

Public transport

Public transport

for insights and security

Annotation / labeling

Annotation / labeling

for data sharing & processing

Award-winning technology

“Europe’s Hottest
AI Startup” by Nvidia
“Most Innovative
ADAS Technology” by Automotive Tech.AD
German Digital Award
“The Spark” by Handelsblatt and McKinsey
Deep Tech Award 2020
in the category “AI” by Berlin senate

Compatibility with machine learning

“brighter AI’s solution was easily integrated and the natural anonymization was what we needed for improvement of lane and sign detection validation strategy.”

Václav Schybal, System Validation Platform Manager, Valeo

Training with the Original Data vs. Deep Natural Anonymization Technology (DNAT); Cityscapes Validation Dataset

Original 0.307
DNAT 0.307
0 0.1 0.2 0.3

Precision
Mean Average Precision (IoU = 0.50 : 0.95)

Instance Segmentation with Mask-RCNN

“The technology makes data collection in public compliant according to privacy regulations worldwide, such as GDPR in Europe, CSL in China and the upcoming CCPA in the US.” The Washington Post, March 21st, 2019
“brighter AI has solved a fundamental problem of using and storing image and video data in compliance with data protection regulations.” Handelsblatt, November 23rd, 2019
“brighter AI, a spin-off from the electronics specialist Hella, for example, was able to secure a multi-million investment with its anonymization software for camera images, which is in demand in the automotive industry.” WirtschaftsWoche, January 14th, 2020
“The best 10 AI startups in Germany – brighter AI uses neural networks to generate artificial faces and license plates that are not recognizable as fake.” Business Insider, June 22nd, 2019