Academic research
Discover more in your samples, automate manual tasks, and collaborate online.
Some of the world's leading research institutes and universities like MIT, Oxford, and others are using Aiforia's cloud-based software to automate manual image analysis tasks, speed up workflows by cutting down time from minutes to seconds, remove subjectivity in sample evaluation, and collaborate remotely.
Aiforia's software can be used in any research area, for any image analysis application.
Aiforia's cloud-based deep learning artificial intelligence (AI) solutions for image analysis and pathology applications across all research areas are made for the end user. From simple but manual quantification, to measuring complex spatial metrics, in neuroscience, oncology, and more.
Aiforia caters to all, enabling users to harness the power of deep learning AI.
Find the hard to spot objects, patterns, and even what you might not have known existed.
Your work and publish faster as our AI models can analyze your images in 90% less time than with manual methods.
Automate time-consuming tasks and take time back to focus on bigger challenges.
Our AI removes inter- and intra-observer bias, standardizing your image analysis.
Share your data and findings with anyone globally through our cloud-based platform.
Download our free brochure to find out more about Aiforia and our image analysis solutions
Your cloud-based tool to develop AI models for any image analysis application.
Simply annotate some of your images to train our neural networks to identify, quantify, or measure your features of interest. There is no need to code or use any dedicated hardware.
Are you an educator looking to take their pathology or histology classes online? Explore our education platform.
Automated dopaminergic neuron quantification in Parkinson's disease research.
Automated detection and quantification of cells and lesions in tuberculosis studies.
AI-assisted identification of the most characteristic markers of Alzheimer's disease and cerebral amyloid angiopathy.