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Do it yourself AI for image analysis

The Aiforia Create tool is:
Intuitive: no coding, AI experience, or local hardware is needed to use our tool — only the expertise you hold in your own field. The platform is also optimized to minimize the annotations needed for it to learn.
Versatile: supports the analysis of images from any research area or industry.
Scalable: from simple to complex image analysis tasks, from single users to large research groups. Pay for what you use.
Benefits of Aiforia Create:
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. Watch the video to see it in action. 

How does Aiforia Create work?



Measurements of spatial and morphological metrics for identified objects

Multi-class object detection

  • Tedious quantification tasks or identification of rare objects or features

  • Possible from whole slide images

Combine with automated region of interest selection to automate the whole image analysis task



Application examples
  • 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

Combine with object quantification to automate the whole image analysis task



Application examples
  • Tumor grading and tumor burden
  • To detect TH+ neuronal areas and plaques
  • Tissue architecture, for example: portal areas, hepatocytes, parenchyme, capsule, biliary ducts, veins
  • Identification and quantification of tissue or cell lesions caused by infectious diseases


Regression models predicting continuous values

  • Measuring depth of color, intensity of staining, patient outcomes



Application examples
  • Cell and nucleus size
  • Patient survival time
  • Astrocyte reactivity
  • Drug-dose response

Explore the research areas Aiforia is already supporting

Aiforia’s analysis capacity is scalable and powerful. Deep learning AI relies on high-performing graphics processing units (GPUs). Aiforia’s platform is powered by NVIDIA’s GPUs, some of the world’s most powerful units built specifically for deep learning.

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