Colorful spectrum data visualization

High-Resolution Intelligence,

Low-Res Cost

B2SC: Transforming legacy bulk tissue data into
single-cell insights without new experiments

Virtual cell visualization

The Virtual Cell Simultaneous

Multi-Omics

H&E-Omics integration: inferring RNA, DNA & Protein
multi-layers from single cells

Data pipeline visualization

The Virtual Cell GenAI Pipeline

Input

Bulk RNA + H&E/IHC Archives

$50 runs, FFPE, and historical datasets you already trust.

Virtual Cell GenAI

Output

Regulator-Ready Strat Plans

Single-cell clarity on cohorts, responder predictions, and documentation.

From your bulk RNA archives to regulator-ready patient stratification—here's
how our platform transforms your data into actionable insights.

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).

3x

Faster Predictions

Virtual patient responses before actual dosing accelerates decision-making.

5x

More Insights

Biomarkers at cellular level (TME/rare cell populations) unlock hidden opportunities.

7x

Boost Success

Identify responder populations with 7x higher precision through cellular-level profiling.

70%

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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