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Translate images into discoveries, decisions,
and diagnoses

Aiforia equips pathologists and scientists in clinical, pre-clinical, and academic labs with powerful deep learning AI and cloud-based technology. Aiforia’s solutions strive to increase the speed, accuracy, and consistency of analyzing large and complex medical images, especially in pathology. Aiforia’s mission is to transform pathology image analysis with AI, enabling better care for each patient.

Find more about us

Clinical solutions

For pathology labs looking to increase productivity and improve diagnostic accuracy, Aiforia's clinical solutions offer AI-supported image-based diagnostics with intelligent visualization, automated screening, and reporting tools in one cloud-based platform. 

  • Aiforia® Breast Cancer Suite
  • Aiforia® Lung Cancer Suite
  • Aiforia® Prostate Cancer Suite
  • Aiforia® Colon Suite
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Research solutions

For pharma, biotech, CROs, and academic researchers, Aiforia's research solutions offer cloud-based pathology image analysis applications that cater to all research areas. 

  • Aiforia® Create
  • Aiforia® Studies
 
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What makes Aiforia unique?

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Future-proof

Together with our customers, we continue to develop new groundbreaking AI models, with thousands of models already developed for research use. We’re committed to providing cutting-edge deep learning AI models designed to meet the evolving needs of our customers. As pathology image analysis become increasingly complex, our advanced software will ensure you stay at the forefront of technology.

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Transparency

Aiforia makes a commitment to keeping our AI algorithms transparent and understandable. You remain in control, see how analyses are conducted, and participate in the training process. AI models serve as first-read support while the expert verifies the results. We offer our customers with fully quantifiable data and results that can easily be adjusted.

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Ease of use

The Aiforia software requires no data scientists or coding expertise. Our team of experts integrates the solutions into existing IT infrastructures. We acknowledge that every lab is different, so we optimize each model for each lab’s individual needs and monitor their performance to deliver continuous improvement. Aiforia’s software allows customers to confidently scale up their operations while paying only for what they need.

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Security

We take data privacy and security very seriously.  We hold several globally relevant quality and security certifications, so our customers can be sure their sample and patient data is safe.* Customers determine what information is stored in the cloud and can opt for a private version.
 

*Our image analysis solutions are developed and maintained securely per ISO 27001 and SOC 2 Type II security standards, and ISO 13485 quality standards. In addition, we strictly adhere to GDPR requirements and all applicable HIPAA policies and procedures.

News

See what's new

Case study: AI-assisted prostate cancer diagnosis

Case study: AI-assisted prostate cancer diagnosis

AI-assisted diagnosis was compared to visual diagnosis in a study involving H&E slides from 111 prostate cancer patients. Read about the results.

July 15, 2024
Quality control strategies for effective AI in digital pathology

Quality control strategies for effective AI in digital pathology

Achieving optimal results with AI in pathology requires rigorous laboratory quality control procedures. Learn about AI best practices in this article.

July 10, 2024
5 reasons to use AI in clinical diagnostics

5 reasons to use AI in clinical diagnostics

What benefits does AI bring to the digitized pathology workflow in clinical diagnostics? Read our article to find out.

July 4, 2024
How can AI assist in detecting HER2-low breast cancer?

How can AI assist in detecting HER2-low breast cancer?

HER2-low is an emerging breast cancer patient population that could benefit from anti-HER2 treatment. Read how AI can assist pathologists in its detection.

July 3, 2024
Case study: creating a prognostic AI model for colorectal cancer

Case study: creating a prognostic AI model for colorectal cancer

Dr. Rish Pai from the Mayo Clinic developed an AI model to assist oncologists in deciding which CRC patients should receive chemotherapy and for how long.

June 28, 2024
GLP and AI-assisted image analysis: what to take into account

GLP and AI-assisted image analysis: what to take into account

Good Laboratory Practice (GLP) ensures the quality of non-clinical laboratory studies. Learn how AI-assisted pathology image analysis fits in the GLP workflow.

June 24, 2024

Who do we work with?

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