Translate images into
discoveries, decisions, and diagnoses

Aiforia equips pathologists and scientists in preclinical and clinical labs with powerful deep learning and cloud-based technology to advance their image analysis tasks and workflows.

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Deep learning AI platform for healthcare

From empowering researchers in the identification of novel biomarkers of disease, and supporting R&D scientists in speeding up time-to-market of novel drugs, to helping pathologists enhance the accuracy of cancer diagnostics — Aiforia has the expertise and experience to transform healthcare all the way from discovery to diagnosis.

Aiforia’s solutions and services

Our offering

Below you will find our cloud-based deep learning AI software solutions and services for clinical, preclinical and education in pathology and other areas.

Clinical

AI assisted diagnostics

For clinical pathology labs aiming to increase productivity and improve diagnostic accuracy, the Aiforia Clinical Suites offer a portfolio of tools for: AI-supported diagnostics, intelligent visualization, QC, automated pre- and post-screening. We are currently developing Suites for some of the world’s most prevalent cancers and have CE-IVD marking for AI models in lung and breast cancer.

Aiforia Clinical Suites

Our strengths

Our platform

The Aiforia Platform is built for seamless, direct use by scientists and healthcare professionals. To use AI through Aiforia there is no need for: coding, dedicated hardware, thousands of annotations or images.

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Our AI

Aiforia provides users with access to the most powerful type of artificial intelligence: deep learning which far surpasses human accuracy and agility in image analysis. Aiforia’s AI can be used to detect, quantify, and measure anything in any image.

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Our cloud

Aiforia’s tools and services are all accessed in the cloud-based, ISO 27001 certified, Aiforia Platform which allows for unlimited storage space, computing capacity, seamless remote collaboration and a multitude of other benefits.

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Our people

We are a comprehensive mix of experienced pathologists, medical scientists, artificial intelligence and software developers as well as a commercial team with extensive experience in the life sciences industries.

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