
LEIBER-X
Single-cell Intelligence as a Service
Beyond the Physical Body,
Toward the Living Life
Our solution runs on the LEIBER-X™ platform.
It works across all clinical Trial phases & offers adaptive clinical optimization.
LEIBER is more than just a name; it is a core philosophy that drives our technology, rooted in the German concept of
the “Living Body” (Leib /ˈlaɪbar/(lye-ber)) and defined by our advanced methodological approach.
Leveraging Extensive Intelligence for precision heuristics
Beyond Exploratory Regulatory single-cell strategy
AI Explainability w. Multi-Omics
Clinical-Level Validated
Legacy Data Valorization
<48 hours Turnaround
HIPAA Compliant
Precision CDx Enablement
How We De-Risk Your Journey
Transforming bulk tissue data into single-cell precision through AI-powered deconvolution
1Single-Cell Core
Data Foundation
WittGen single-cell database with 1.3B+ cells provides the ground truth for all platform capabilities.
- Comprehensive multi-cancer & healthy organ single-cell atlas
- Validated cellular profiles across tumor types
- High-quality reference data for deconvolution
2Bulk-to-Single Cell GenAI
Affordable Single-Cell Resolution
Transform $50 bulk RNA-seq into $4,000+ single-cell resolution profiles with cellular-level precision.
- GenAI-powered deconvolution of bulk samples
- Multimodal single-cell predictions
- Cost-effective patient stratification
3Image-to-Omics
Image2SC Capability
Derive single-cell omics insights from imaging data to expand analytical capabilities.
- Spatial context integration
- Image-based cellular profiling
- Complementary to molecular data
Continuous Value Across Clinical Phases
From historical data analysis through trial design, patient screening & outcome analysis
Superior Data Quality = Superior Results
Our data-centric AI approach prioritizes quality over quantity. Well-curated
datasets with precise annotation deliver significantly better model performance.
95%+ ML Accuracy
vs. 70% market standard
Our Competitive Edge
- CNV inference scoring for cell-level validation
- Expert curation + extra information mining
- Golden standard reference dataset construction
- Automated annotation pipeline for scale
Real cells vs Reconstructed Virtual Cells

Identical Gene-Gene Correlation

Marker Gene Preserved

Overlapping Distribution



Identical Gene-Gene Correlation
Marker Gene Preserved
Overlapping Distribution
200M+ cells / 17k+ samples / 60+ tissues
Highly Curated Cells at Scale
From over 468 patients across multiple cancer types
PDAC, HGSOC, SCLC, Breast Cancer, NETs