SERVICE · TARGET DISCOVERY
PortraiTARGET
From tumor-selective ADCs to dual-targeting degraders — spatial transcriptomics + AI modeling + multi-dimensional validation reveal targets standard pipelines miss.
A unified, AI-driven decision platform. We integrate one of the most comprehensive spatial transcriptomics datasets with in-silico prediction and rigorous validation to accelerate therapeutic development.
① DATA ENGINE
We build high-quality spatial-omics big data to precisely reconstruct the microenvironment and gene-expression patterns within human tissue.


② PREDICTION ENGINE
Before dosing real patients, we precisely predict drug distribution (Microscopic-PK) and cellular response (Microscopic-PD) on virtual tissue, in silico.
SERVICE · TARGET DISCOVERY
From tumor-selective ADCs to dual-targeting degraders — spatial transcriptomics + AI modeling + multi-dimensional validation reveal targets standard pipelines miss.
SERVICE · DRUG DISTRIBUTION
Quantify drug distribution and mechanism-of-action in tissue via spatial transcriptomics. Applies to ADCs, mRNA, stem cell, and combination therapies.
Virtual Spatial Omics
An AI model that generates virtual spatial-omics (Virtual ST) data from H&E tissue images and clinical metadata.
Drug Distribution Simulation
Quantitatively tracks where, how much, and how long a drug stays as it moves through the tissue microenvironment and vasculature (Drug Distribution Map).
Cellular Response Prediction
Spatially predicts per-cell sensitivity, death, and gene-expression changes in response to drug concentration (Drug Action Map).
③ VALIDATION ENGINE
Using AI predictions, we derive the optimal dose, payload, and indication priority to validate a drug's value.
Decode TME architecture, predict payload accumulation and off-target risks computationally.
Validate ADCs & modality candidates in vitro. Spatial transcriptomics confirms co-localization.
POR006 and RPT assets advance to pre-clinical imaging and human imaging stages.
PRODUCT LINEUP
Therapeutic target discovery for ADCs, RPTs, bispecifics.
Drug distribution visualization and label-free spatial transcriptomics.
Drug mechanism-of-action analysis.
An AI model that generates virtual spatial-omics (Virtual ST) data from H&E tissue images and clinical metadata.
Quantitatively tracks where, how much, and how long a drug stays across the tissue microenvironment and vasculature (Drug Distribution Map).
Spatially predicts per-cell sensitivity, death, and gene-expression changes by drug concentration (Drug Action Map).
A SaaS web platform providing spatial-omics data visualization and AI analysis.
VALUE FOR PARTNERS
Collaborate with us to discover and validate novel targets using one of the largest spatial transcriptomics databases in oncology.
Access de-risked pre-clinical pipeline assets (POR-series) for rapid clinical advancement.
Supported by global technology partners for secure, scalable spatial data computing.
READY TO ACCELERATE?
See how Portrai's platform can de-risk drug discovery from spatial insights to life-changing therapies.