Our Technology Stack

State-of-the-art, trusted and versatile

Object Detection using Convolutional Neural Networks

Image and Video Anonymization with Deep Learning

Diagram of Mask R-CNN architecture for instance segmentation
Schematic depiction of Mask R-CNN.

Our core technology is object detection using deep convolutional networks (CNN), which in recent years has rapidly evolved from an academic playground to production-ready tools for solving industrial use cases fast and effectively.

We combine different architectures such as instance segmentation (Mask R-CNN[1] with a FPN backbone[2]) and keypoint detection (based on Faster R-CNN[3]) to anonymize people, vehicles, faces or licence plates.

As part of the NVIDIA Inception program for AI startups, we have access to support, expertise and training by NVIDIA, the leading AI hardware manufacturer.

Cloud, Docker and APIs

Scalable and Flexible Anonymization Pipeline

We have set up our scalable and flexible anonymization pipelines in GDPR-compliant data centres around Europe. Available also as a Docker container, it can be installed on a local machine, private or public cloud infrastructure.

Python logo

Python

Amazon Web Services logo

Amazon Web Services

PyTorch logo

PyTorch

NVIDIA logo

NVIDIA

Latest Technology Blog Posts

Celantur is Now Active on 6 Continents

Celantur is evolving from a blurring tool to the global privacy layer for Physical AI


Celantur at INTERGEO 2025: Presenting New Solutions

Celantur unveils new products for real-time anonymization and costs savings at INTERGEO.


Turning Dashcam Footage into Revenue: Monetizing Data the Responsible Way

Unlock the value of your dashcam data while protecting privacy. Celantur's anonymization technology automatically blurs faces, license plates, and other PII, enabling compliant and ethical data monetization.


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