Proteomics-Driven Precision Medicine Services

Unbiased Proteomics to Accelerate Oncology Pipelines

Yatiri Bio, Inc. is a B2B precision-medicine biotech offering unbiased global mass-spectrometry proteomics, patient-derived cell models (ProteoModels), and CLIA/CAP biomarker development to help biopharmaceutical companies identify responsive patient subsets, discover companion diagnostics, and reduce clinical failure rates in oncology.

ProteoBrowser™ - Run #4910
Active
Proteins / Sample 8,000+ Unbiased Global Scan
Clinical Validity CLIA/CAP Post-NGeneBioAI
PTM Abundance Matrix 98.4% Confidence
Peak

> Loading patient cell model cell_aml_venetoclax_2026

> ProteoModels matched: Target phosphorylation profile detected.

Biopharma Pain Point
95% Failure

Oncology drug candidates show the lowest clinical success rate (only 3.4% approved) of all drug classes (Wong et al., 2019). We use high-throughput proteomics to isolate responsive subsets early.

Unbiased Resolution
8,000+ Proteins

Unlike targeted panels that miss novel signaling mechanisms, our unbiased global mass-spectrometry maps the complete proteome, providing deep translational data for target identification.

Certified Laboratory
CLIA & CAP

Through the acquisition of NGeneBioAI, Inc. in August 2025, we integrate certified laboratory infrastructure to translate research signatures directly into clinical assays.

Our Sellable B2B Services Catalog

Providing end-to-end biological characterization, computational modeling, and regulatory assay development for oncology pipeline translation.

How We Optimize Oncology Drug Pipelines

Our structured workflow matches unbiased proteomics discovery to validated clinical assays.

Phase 01

Sample Extraction

Biopharma cohorts provide cell lines, organoids, tissues, or biofluid samples. Our lab prepares clinical inputs for processing.

Phase 02

High-Throughput Mass Spec

Unbiased, deep global proteomics runs quantify 8,000+ total proteins and phosphorylation modifications per sample.

Phase 03

In Silico Analysis

ProteoBrowser™ algorithmic models correlate protein networks to ex-vivo drug sensitivity, isolating patient subset targets.

Phase 04

CLIA/CAP Assay Testing

Signatures are validated inside NGeneBioAI CLIA-certified labs to select patient targets for live clinical trials.