Out of
underrepresentation,
we create inclusion.

PAICON was founded on a simple belief: AI should work for all patients, not just the privileged few. We're rewriting the rules of cancer diagnostics by putting diverse data first.

OUR MISSION

Democratizing Cancer AI
Through Inclusive Data

PAICON was founded to fix a critical flaw in cancer AI: most models are trained on data representing just 16% of the world.

Our datasets reflect 100% of the global population, with a focus on the Remaining 84% who've been left out of cancer research for too long.

By acquiring, harmonizing, and curating diverse data across continents, we're building AI that's not just powerful, but equitable.

The Problem We're Solving

Traditional AI

Trained on 16% of global population
Biased toward Western datasets
Inconsistent accuracy across ethnicities

PAICON's Approach

Global data from 60+ countries
Inclusive training datasets
Equitable diagnostic accuracy

What Sets Us Apart

Five key differentiators that make PAICON the trusted choice for inclusive cancer AI.

Globally Trusted, Ethically Grounded

We partner with leading institutions like DKFZ and operate under a TÜV-certified quality management system, ensuring ethical sourcing, GDPR compliance, and data transparency at every step.

Designed for Diversity, Built for Inclusion

Our database is not an afterthought; it's engineered around genetic, geographic, and demographic diversity, representing patients from over 60 countries.

End-to-End AI Infrastructure

From raw data to harmonized datasets to real-world-ready diagnostics, our pipeline is powered by PAIX, our proprietary AI platform that standardizes and prepares data at scale.

Clinically Validated, Science-Driven

Our MSI/MSS classifier SatSight DX delivers 95% AUC using only H&E slides. We publish in peer-reviewed journals and collaborate with top academic experts to ensure continuous improvement.

Purpose-Built for Impact

We don't just develop technology; we create tools that bridge the gap between research and care, supporting doctors in delivering faster, more equitable diagnoses worldwide.