High-Resolution Intelligence,
Low-Res Cost
B2SC: Transforming legacy bulk data into
single-cell insights without new experiments
The Virtual Cell
Simultaneous Multi-Omics
H&E-Omics integration: inferring RNA, DNA & Protein
multi-layers from single cells
The Virtual Cell GenAI Pipeline
From your bulk RNA archives to regulator-ready patient stratification—here's how our platform transforms your data into actionable insights.
Input
Bulk RNA + H&E/IHC Archives
$50 runs, FFPE, and historical datasets you already trust. We handle QC, harmonization, PHI guardrails, and metadata normalization automatically.
Output
Regulator-Ready Strat Plans
Single-cell clarity on cohorts, responder predictions, biomarker packages, and documentation that Bioinformatics validators and regulators can sign off on.
What WittGen Delivers
Retrospective Pilot
We convert legacy bulk RNA-seq & IHC/H&E images into single-cell or spatial transcriptomic clarity for one priority program, deliver cohort guidance, and prove uplift before you commit to wet-lab.
Validator Evidence Pack
Explainability • Reproducibility • Traceability documentation for Bioinformatics and regulatory reviewers, including GRN/CNV narratives and model cards.
Pipeline Expansion Kit
Playbooks, APIs, and CDx/Innovation champion tooling so you can run multiple programs in parallel (Pipeline + Platform tiers).
Faster Predictions
Virtual patient responses before actual dosing accelerates decision-making.
More Insights
Biomarkers at cellular level (TME/rare cell populations) unlock hidden opportunities.
Boost Success
Identify responder populations with 7x higher precision through cellular-level profiling.
Cost Reduction
$50 bulk RNA-seq achieves 95% savings versus traditional $4,000+ single-cell methods.
See How We Fixed Stratification
Read how innovation teams, CDx partners, and bioinformatics validators aligned on WittGen output before moving to pipeline and platform tiers.
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