Harness the World’s
Camera Data with
Privacy by Design

In 2022, 7 exabytes of video data will be transmitted by vehicles and public cameras per hour, providing infinite data points - crucial for an autonomous infrastructure, insight-driven services and new businesses.

Brighter AI empowers companies to use publicly-recorded camera data for analytics & AI while being compliant with increasing data privacy regulations worldwide.

Deep Natural Anonymization for AI in automotive, retail and smart city.

Solution

Deep Natural Anonymization

Brighter AI's innovative anonymization technology protects the individual identity in line with privacy regulations. However, compared to pixelation, blurring and masking, the anonymized faces and license plates look natural and retain full analytics capabilities.

Automotive

Brighter AI is partnering with automotive companies to anonymize camera data for self-driving cars on the edge, as well as to embed the software into serial production. Additionally, OEMs and ADAS suppliers can use Deep Natural Anonymization to process existing training data in a GDPR-compliant way. With Brighter AI's innovative face and license plate anonymization solution, automotive manufacturers and tier-one suppliers can focus on data collection, labelling and the development of AI models. Thereby, Brighter AI provides a key solution to bring autonomous vehicles safely onto the road.

Retail & Smart City

Like our eyes, cameras capture the world and collect data about the environment. With Deep Natural Anonymization, Brighter AI transforms installed cameras of public transportation providers and retailers into sensors for advanced video analytics. This does not only allow to replace single-purpose technologies like people counters, but also, for the first time, enables data processing in the cloud. With numerous cloud analytics providers available, customers have the option to choose analyses in a flexible manner. From customer demographics and emotions to clothing style, anything is possible.

Enabling Analytics & AI

In contrast to traditional anonymization approaches, naturally anonymized camera data can be used for detection, classification, segmentation and any other analytics or AI. What does this mean for AI companies?

Deployment

On Premise

Clients can download Brighter AI's container-based anonymization solution onto their system. Our neural networks run on servers with at least one GPU, and the SaaS solution is priced by a monthly licensing fee per server node. If you want to test our anonymization solution, please get in touch.

Edge

Brighter AI also provides natural anonymization of faces and license plates on the edge. We can deploy directly on cameras and vehicles to remove personal identifiers even before processing the data. If you are looking to anonymize camera data on an edge device to enable cloud analytics, please get in touch.

Embedded

Brighter AI is exploring to bring Deep Natural Anonymization into serial production with leading industry partners. Our technology can anonymize personal identifiers directly on the camera. If you are an automotive or camera manufacturer looking for a custom embedded solution, please get in touch.

- 1 -

Receiving Visual Data from Cameras or Servers

Receiving Visual Data from Cameras or Servers

- 2 -

Applying Deep Natural Anonymization

Applying Deep Natural Anonymization

Enabling Advanced Analytics and AI

Enabling Advanced Analytics and AI

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Providing the Naturally Anonymized Data

Providing the Naturally Anonymized Data

About Us

Brighter AI Technologies is a Berlin-based startup founded in 2017. At Brighter AI, we are working to overcome limitations in human and computer vision with artificial intelligence. With our innovative anonymization approach using deep neural networks, we are already on the way to solve the 'data privacy vs. analytics dilemma' for more than 1.1bn public cameras. NVIDIA recognized Brighter AI by naming us 'Europe’s Hottest Startup'. If you are looking to join us on our mission to become the world leader in Generative AI, check our job page or say visionaries@brighter.ai


Announcement: Brighter AI secures millions in funding from eCAPITAL and G+D Ventures

Innovation Driver in Generative AI
Ambitious & Diverse Team
Cool Office in the ♡ of Berlin

Blog

The #paperoftheweek is “Diversity-Sensitive Conditional Generative Adversarial Networks”
Jul 19, 2019 2 min read
In Conditional GANs, the generator is not only fed with a randomly sampled latent but also with extra information. This extra information… Read More
The #paperoftheweek is: “Generating Diverse High-Fidelity Images with VQ-VAE-2”
Jul 03, 2019 2 min read
In our weekly paper, the authors propose a two-stage generator architecture which aims to exploit the strengths of two separate generative… Read More
The #paperoftheweek is “The Lottery thicket Hypothesis: Finding Sparse, Trainable Neural Networks”.
May 31, 2019 3 min read
The authors of this paper propose a novel way to prune large trained neural networks, generating sparse and lightweight subnetworks… Read More

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