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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

NEWS

Aiforia secures IVDR certification, paving the way for expanded clinical portfolio in Europe

At the same time, three new CE-IVD marked AI solutions for breast and prostate cancer diagnostics are successfully launched.

 

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. 

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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 commits to keeping our AI algorithms transparent and understandable. You remain in control, see how analyses are conducted, and can even participate in the training process. AI models serve as first-read support while the expert verifies the results. We offer our customers 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, ISO 13485 quality standards, and IVDR requirements. In addition, we strictly adhere to GDPR requirements and all applicable HIPAA policies and procedures.

News

See what's new

6 steps to creating your own veterinary pathology AI model

6 steps to creating your own veterinary pathology AI model

Learn how easy it is to create an AI model using Aiforia® Create: the example is created by a veterinary pathologist and showcases a model to segment the retina.

March 19, 2025
What are the benefits of AI in drug discovery?

What are the benefits of AI in drug discovery?

AI has the potential to significantly enhance the currently tedious and costly preclinical drug discovery workflow, providing fast and accurate results.

February 27, 2025
The future of pathology: AI as a collaborative partner

The future of pathology: AI as a collaborative partner

As AI continues to shape daily life and play a larger role in pathology labs, some may wonder if it will replace pathologists. Here’s our perspective.

February 21, 2025
Deep learning in digital pathology: what, why, and how?

Deep learning in digital pathology: what, why, and how?

Deep learning is revolutionizing pathology. Learn what it is, why it matters, and how it's improving accuracy, accelerating research, and enhancing diagnostics.

February 17, 2025
Case study: AI model can improve large droplet fat quantitation in liver pathology

Case study: AI model can improve large droplet fat quantitation in liver pathology

Dr. Maxwell L. Smith from Mayo Clinic built an AI model to accurately estimate large droplet fat in liver sections prior to transplantation.

January 13, 2025
Case study: differentiating interstitial lung disease subtypes using AI-based image analysis

Case study: differentiating interstitial lung disease subtypes using AI-based image analysis

Dr. Maxwell L. Smith from Mayo Clinic developed two AI models to detect and quantify histopathologic features in interstitial lung disease (ILD) with the goal of using AI to help differentiate ILD subtypes.

January 13, 2025

Who do we work with?

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European Society of Digital and Integrative Pathology (ESDIP)-1
microsoft
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GoogleCloud
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