AI Analysis of tissue images
EquaPathAI provides rapid, AI-driven molecular insight from patient tissue images — turning ordinary H&E slides into rich, explainable biomarkers.
Our platform allows hospitals and academic labs worldwide to upload pathology data securely for low-cost, high-accuracy analysis, powered by partners such as PredxBio.
We deliver results in minutes rather than days, helping clinicians detect subtle tumor and immune patterns that traditional methods overlook.
By democratizing access to computational pathology, EquaPathAI bridges the gap between advanced diagnostics and under-resourced regions. Our mission is simple yet transformative — to make AI-powered precision pathology available to every lab, everywhere.
EquaPathAI empowers hospitals and diagnostic laboratories to accelerate pathology workflows with AI-driven tissue analysis. By transforming standard H&E slides into molecularly rich data within minutes, EquaPathAI helps clinicians uncover subtle tumor and immune features that guide more precise treatment decisions. Our secure, cloud-based platform reduces dependency on costly molecular assays, improves turnaround time, and enhances diagnostic confidence — delivering faster, data-driven insights for better patient outcomes.
Clinical Products
For academic and translational researchers, EquaPathAI provides a scalable platform for computational pathology and biomarker discovery. We enable AI-powered quantification of spatial patterns, cell states, and microenvironmental features from digitized slides — accelerating discovery while lowering experimental costs. By integrating AI, pathology, and data science, EquaPathAI supports large-scale studies, multi-center collaborations, and the next generation of research in precision oncology and spatial biology.
Research Products
EquaPathAI empowers clinicians and researchers to see what others miss — anywhere, anytime.
By transforming standard H&E slides into molecularly rich, AI-driven insights, PathoLink makes precision pathology faster, more affordable, and more accessible for every community.
It all begins with access
The story of PathoLink began with a simple question: What if advanced pathology could reach every corner of the world? After two years of research at UPMC Hillman Cancer Center, our founder saw firsthand how AI and digital pathology could uncover patterns invisible to the human eye — but also how many hospitals and labs lacked access to these transformative tools.
That experience led to the creation of EquaPathAI, a nonprofit initiative designed to democratize computational pathology. By partnering with PredxBio, we developed a secure, cloud-based platform that allows hospitals, academic labs, and clinicians to upload routine pathology images and receive AI-powered biomarker insights in minutes — not days.
EquaPathAI’s mission is to bridge the gap between advanced diagnostics and underserved regions by combining the power of AI, pathology, and global collaboration. We believe that cutting-edge analysis should not depend on geography or infrastructure. Every image holds potential — and every patient deserves the chance for early, precise diagnosis.
We envision a world where no lab is left behind — where every slide tells a deeper story, and where digital insight drives better treatment decisions, faster drug development, and more equitable healthcare outcomes worldwide.
At EquaPathAI, we believe access to Al-powered patholgy houle affordable for every lab and research center-whether you're analyzing 10 slides or 10,000. Our pricing is designed to grow with your needs while supporting our mission to make advanced diagnostics available globaly.
$100.00
per Image
(for the first 100 images)
Tier
Images per month
Cost per analysis
Starter
1-100
$100 per image
Growth
101-500
$85 per image
Advanced
501-1000
$70 per image
Enterprise
1000+
Upto 50% off
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Duis bibendum diam eu tellus cursus.
The analysis in done under the guidance of Dr Aman Khera, who is an esteemed pathologist based out of New Delhi, India.