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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.

Learn 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
  • AI development tool
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Research solutions

For pharma, biotech, CROs, and academic researchers, Aiforia’s research solutions offer fully automated study-centric workflows and pathology image analysis applications that cater to all research areas. 

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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-based image analysis enables prognostication in ovarian cancer

Case study: AI-based image analysis enables prognostication in ovarian cancer

A research team from the University of Helsinki used Aiforia® Create to develop a deep learning AI model to predict patient outcomes in a complex ovarian cancer.

November 8, 2024
Cerba Research case study: utility of AI in Ki-67 scoring of breast cancer

Cerba Research case study: utility of AI in Ki-67 scoring of breast cancer

A research team from Cerba Research compared the results of Ki-67 scoring performed with the Aiforia® Platform against two independent pathologists.

November 7, 2024
Aiforia® Create: from research AI models to productization for clinical practice

Aiforia® Create: from research AI models to productization for clinical practice

Aiforia®️ Create is a versatile tool for developing deep learning AI models for image analysis. Learn how it covers the full journey from research to clinical.

October 30, 2024
Case study: automated detection and classification of bone marrow cells

Case study: automated detection and classification of bone marrow cells

Developing a deep learning algorithm for the automated detection and classification of bone marrow aspirate smears in cytological preparations.

October 17, 2024
How does AI benefit toxicologic pathology?

How does AI benefit toxicologic pathology?

Toxicologic pathology, the study of drug effects on animal models of human diseases, has benefited greatly from the development of AI, particularly deep learning neural networks.

September 13, 2024
Galileo case study: exploring AI’s potential in kidney transplantation

Galileo case study: exploring AI’s potential in kidney transplantation

An Italian research team built an AI model for kidney pathology to assist on-call pathologists and renal pathologists in their routine work.

September 5, 2024

Who do we work with?

microsoft
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GoogleCloud
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