AI-Driven Spatial Molecular Pathology & Virtual Cell Computation

Empowering next-generation precision oncology and translational research through multimodal AI algorithms, single-cell spatial transcriptomics, and generative virtual cell modeling.

Decoding Spatial Biology through Generative AI

We transform standard pathology into high-dimensional spatial omics. Computing the tumor microenvironment to accelerate precision oncology and in silico drug discovery.

Computational Spatial Transcriptomics

Reconstructing single-cell molecular profiles directly from gigapixel H&E morphology via cross-modal foundation models.

Microenvironment Digital Twins

Mapping complex spatial architectures and immune interactions to unlock predictive biomarkers for immunotherapy.

Generative Virtual Cells

Simulating cellular perturbations at scale to empower biopharma with high-throughput in silico drug screening.

Beyond Morphology: The Next Era of Biocomputation

Biology is inherently spatial, yet traditional sequencing destroys the very tissue architecture it aims to study. Omni Atlas bridges the gap between phenotypic morphology and molecular expression. By distilling high-dimensional spatial omics into deep neural networks, our platform instantly translates standard slides into predictive spatial atlases—democratizing access to spatial biology without the bottleneck of physical assays.

Single-Cell Data Points Computed

0 M+

Turnaround for Spatial Mapping

< 0 h

Model Predictive Accuracy

0 %

100+ Matched Cohorts

Exclusive real-world clinical data fueling our multimodal AI models.

Translating Morphology into Actionable Insights

Proven on highly heterogeneous Intrahepatic Cholangiocarcinoma (ICC) with 92% predictive accuracy, our pipeline is rapidly expanding across pan-hepatobiliary oncology. We translate gigapixel slides into multidimensional clinical and pharmaceutical insights:

High-Resolution TME Taxonomy

Unveiling a high-resolution cellular architecture that decodes complex heterogeneity across the tumor microenvironment.

Quantitative Spatial Profiling

A "CBC blood test" for solid tumors. We statistically predict and quantify critical cell proportions directly from H&E.

Therapeutic Niche Identification

Pinpointing spatial niches associated with drug resistance to guide targeted and immune combination therapies.

In Silico Target Discovery

Simulating potential cellular interactions via virtual cell computation to accelerate novel biopharma R&D.

Backed by Rigorous Global Science

Our foundational methodologies and discoveries are peer-reviewed and published in world-leading scientific journals.