Skip to content

Aiforia Create

Train faster, train better.
Our AI just needs to know what you want to find.
Aiforia Create offers users the most convenient and readily available way to train AI models for automating all image analysis tasks. Whether you need to count specific cells or measure morphological metrics for individual research or as part of a large preclinical analysis team, Aiforia Create offers a scalable and versatile solution for projects of all sizes and complexities.
Aiforia brings deep learning AI straight to the hands of the user through a simple, cloud-based interface. All that is required of the domain expert is to label their own ground truth.
High-speed image analysis tools like Annotation Assistant, available to all Aiforia Create users, significantly reduce the number of slides and annotations needed for training: in most cases to under a hundred.
Aiforia Create users also have access to the Image Match tool, which enables the efficient and easy evaluation of serial sample sections.
Save time: by automating your analyses
Produce: quantitative data and visualize your results
Discover: novel data from images
Aiforia Create lives in our cloud platform so all you need is internet access to upload and store your images to get started.
Aiforia intro to AI for digital pathology webinar

Watch our webinar Introduction to AI in Digital Pathology

Fill in your email to access the webinar



Measurements of spatial and morphological metrics
Multi-class object detection
Tedious quantification tasks or identification of rare objects or features
-Nerve cell counting in Parkinson’s disease
-Fat and fibrosis measurements in liver tissue NASH, NAFLD
-Measurements between stromal CD8+ cells and lung cancer tumor borders
Malaria parasite detection from blood smear


Multi-class semantic segmentation
Automated segmentation of image patterns
Quantifying surface areas and a versatile range of spatial metrics
Tumor grading and tumor burden
-Detecting Th+ neuronal areas and plaques
-Tissue architecture: portal areas, hepatocytes, etc.
-Identification and quantification of tissue or cell lesions caused by infectious diseases
-Regression models predicting continuous values

Sign up for our newsletter