LEIBER-X Technology

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

Single-Cell Core
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Single-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
Bulk-to-Single Cell GenAI
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Bulk-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
Image-to-Omics
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Image-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

Historical Data AnalysisTrial DesignPatient ScreeningOutcome Analysis
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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

Subtyping
95%
Grade
92%
Cell Composition
98%

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

Identical Gene-Gene Correlation

Marker Gene Preserved

Marker Gene Preserved

Overlapping Distribution

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