Sorry, your browser is not fully supported for the integrated media types, like interactive videos and image sliders. This can also lead to problems with the layout.

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 to empower new businesses.

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

AI-based anonymization for AI in automotive, retail and smart city. We call it Deep Natural Anonymization.


Naturally Anonymized

Instantly anonymizing any personal information and protecting the individual identity. However, compared to pixelation, blurring and masking, the anonymized faces and licence plates look natural and retain full analytics capabilities.

Analytics & AI Enabled

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

Use Cases


Brighter AI provides a key solution to bring self-driving cars on the road. With an innovative face and license plate anonymization solution, automotive manufacturers and ADAS suppliers can focus on data collection, labelling and the development of AI models. Brighter AI offers anonymization for autonomous driving training data in a natural way that allows for GDPR-compliant processing. Also, Brighter AI is partnering with OEMs to anonymize camera data for self-driving cars on the edge and works on embedding the software into vehicles.

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.


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.


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.


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

- 3 -

Providing the Naturally Anonymized Data

Providing the Naturally Anonymized Data

Founders & Advisors

Marian Gläser
Chief Executive Officer

Marian is steering the company's strategy and investment relations. He graduated from the major IT-Management & Consulting, followed by becoming a passionate entrepreneur. Before he co-founded Brighter, Marian was working for a Techstar startup, Occipital Inc., doing project management at SinnerSchrader, consultancy for Lufthansa Systems and lecturing Continuous Improvement for Deep Learning at the University of Applied Science Berlin.

Patrick Kern
Chief Technology Officer

Patrick is the CTO and the third co-founder of Brighter. He is in charge of the product development and the corporate technology. Before his journey as an entrepreneur started, he studied his master's degree in computer science and economics in Berlin, was a mentor at Udacity for Self-Driving cars and explored disruptive innovations at HELLA Ventures. Patrick also held various positions as software developer at companies such as KPMG and Signavio.

Asaf Birnhack
Chief Sales Officer

As a co-founder, Asaf is responsible for the Sales & Business Development at Brighter. Asaf brings the Israeli entrepreneurial mindset to the team with a wealth of international business experiences. Prior to Brighter, he graduated with a B.A. in Business Management specialized in marketing. He gained an extensive 6 years’ experience of business development for startups & enterprises, in the online advertising and the Automotive industry.

Dr. Thorsten Grenz

Thorsten Grenz is a member of the Supervisory Board of Drägerwerk AG & Co. KGaA, Fyber N.V. (until 2017) and GPredictive GmbH, President of the Financial Experts Association e.V. Previous positions in his career include CEO at Veolia Umweltservice and Veolia Deutschland, Operating Partner at 3i plc, CFO at Hero AG, CEO at Mobilcom AG, CFO at Hapag-Lloyd Container Linie and Associate Principal at McKinsey & Company, Inc.

Dr. Liv Kirsten Jacobsen

Prof. Jacobsen has been teaching entrepreneurship as an honorary professor at the European University Viadrina Frankfurt (Oder), since 2017, where she also headed the "Centre for Entrepreneurship" between 2008 and 2015. As Managing Director of Transaudio GmbH, she had previously managed a technology company herself for six years. She also works as a lecturer at various universities and is active in the Business Angel Club Berlin.

Benjamin Sekowski

Benjamin Sekowski began his career at an early-stage Venture Capital Fund where he accompanied transactions with focus on IoT & data-driven business models and could develop a strong network in the startup ecosystem. Leveraging his core strength working at the interface of Technology & Business, he co-founded Digital:Convergences to help clients streamlining their venturing activities and building digital products that users love.

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

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


The #paperoftheweek 6 is: Approximating CNNs with Bag-of-local-Features models works surprisingly…
Feb 15, 2019 2 min read
Based on a model that resembles a bag-of-features (BagNet) and applying it to ImageNet classification task, the authors of this paper… Read More
The #paperoftheweek 5 was: Multi-Level Factorisation Net for Person Re-Identification
Feb 08, 2019 1 min read
This paper makes for a great example for the application of the Mixture-of-Experts technique to a real-world computer vision problem. It… Read More
The #paperoftheweek 4 was: Deep Neural Networks with Box Convolutions
Feb 01, 2019 2 min read
Authors of the paper propose to bring box filters back to computer vision in a form of a box convolution layer. That layer computes sums… Read More

Seen In

Contact Us