Virtual Spatial Biology to Transform Cancer Treatment & Drug Discovery
AI-powered spatial biomarkers can transform pathology by unlocking hidden layers of biology and enabling large-scale, predictive analysis of tumor microenvironments.
Our foundation models can decode spatial biology from routine H&E slides— without expensive instruments, complex workflows, or further tissue processing. All we need is an image of a standard biopsy.
Our platform identifies predictive biomarkers, immune phenotypes, and cellular subtypes— powering virtual assays at scale.
AI models are trained on multimodal data (H&E, spatial omics, outcomes), delivering rich, interpretable insights for research and clinical use.
Just one H&E image — no extra reagents or tissue needed.
Upload a single tissue slide
Standard H&E
Processing...
AI analyzes tissue slides to extract deep spatial omics insights.
Results Ready
Visualize spatial proteomic + spatial transcriptomic data at single cell resolution.
A new standard in cancer diagnostics across trials, labs, and care settings worldwide — fast, scalable, and AI-powered
Our models extract spatial proteomic and transcriptomic data from standard H&E slides without labeling or complex workflows.
No additional reagents, tissue, or instrumentation needed. Works with the infrastructure already in your lab.
Easily deployable across research, clinical trials, and routine diagnostics— delivering predictive, reproducible results at scale.
Validated across tumor types, institutions, and clinical cohorts.
Tumor types utilized for training and validation enabling broad pan-cancer applications.
Independent cohorts spanning diverse H&E workflows, scanners, and institutions.
Foundation models for spatial proteomics, transcriptomics, and cellular identification.
We offer
Provide Slides
Transfer digitized H&E slides from retrospective or trial cohorts. No additional assays, tissue preparation, or hardware required.
Spatial Analysis
Our foundation models infer proteomic, transcriptomic, and microenvironment features at cellular resolution across your cohort.
Decision-Ready Deliverables
Receive structured spatial biomarker datasets and analytical summaries designed to inform biomarker strategy, cohort enrichment, and trial development.
Secure Upload
Upload digitized H&E slides and associated clinical metadata into a compliant cloud environment (platform rollout in progress).
Spatial Modeling
Access a library of spatial omics assays to infer proteomic, transcriptomic, and microenvironment features. Identify predictive biomarkers, molecular subtypes, and therapeutic targets across your cohort.
Actionable Outputs
Receive structured spatial feature datasets and cohort summaries ready for stratification, modeling, and translational decision-making.
