Cellari specializes in developing regulatory-approved AI solutions and hardware tailored for image-related applications in clinical, pharmaceutical, and research settings. Their platform is designed with input from clinicians, researchers, and regulatory experts, ensuring a focus on quality, reproducibility, and transparency. Key features include the Cellari annotator, which allows for pixel-precise annotations to create "ground-truth" datasets efficiently, even for large-scale images. The platform supports on-premise hardware for data analysis within secure networks, as well as cloud storage for clinical and research data, adhering to strict regulatory standards.

The Cellari platform is versatile and format-agnostic, accommodating various image and video formats, from whole slide tissue scans to high-resolution thermal videos. It facilitates the easy creation of training data through its annotation tools, enabling users to label data from anywhere at any time. With powerful servers and a user-friendly interface, Cellari ensures fast and reliable data browsing and real-time result extraction post-model training. The company is committed to continuous improvement, with an engineering team dedicated to enhancing the annotator's performance and reliability.

Denmark

Cellari enables doctors and non-specialists to take full advantage of recent developments in artificial intelligence. 

Cellari aims to provide the most precise "active learning model" for biological image segmentation combined with an intuitive and easy-to-use user interface for carrying out complex image related tasks and analytics. 

An automated statistical testing service ensures statistical validity of clinical and research related results along with unparalleled review and methodology transparency functionalities.

Cellari is a proud part of the InnoFounder – Graduate incubator for Cohort 5 of September 2019.

Cellari

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