AIVC for drug research
Customized datasets, predictive vertical models and an oncology-first foundation-model program, connected through experiments and validation.
Explore AIVC applications
Proteomics-rich AI virtual cells
AI virtual cells,
with proteins
at the core.
We develop proteomics-rich AI virtual cells, deliver research services and advance clinical diagnostics—connecting protein measurements to discovery and laboratory applications.
Conceptual protein landscape
Platforms, services and products
Explore what we do.
Proteomics research services
Quantitative, spatial, plasma, targeted and multi-omics workflows, with study design and data analysis.
View research servicesClinical diagnostics
Mass-spectrometry laboratory products and thyroid-nodule proteomics, including LMDx IGF-I and ThyroProt.
Explore clinical diagnosticsPublished oncology research
Measured biology.
Testable predictions.
16,311
Proteomic profiles across 18 breast-cancer cell lines.
38M+
Temporal protein measurements capturing cellular responses.
63 + 59
Drugs and drug combinations in the published response dataset.
Sun et al., Nature (2026) · Study-specific experimental dataset.
Why protein biology
A cell is more than its transcriptome.
Proteins form the machinery of the cell. Their abundance, interactions and location help describe how that machinery responds.
A useful virtual cell needs evidence matched to the decision: the intervention, dose, time, tissue context and measured outcome. We prioritize informative protein-state experiments and integrate RNA, images and biological knowledge.
Explore the data strategyThe AIVC foundation
Measurement and prediction,
connected.
01
Spectral intelligence
MassNet · DIA-BERT · DDA-BERT
Turn mass-spectrometry spectra into interpretable protein evidence with AI-supported analysis.
Explore spectral AI02
Perturbation dynamics
ProteinTalks
Learn how protein states change after intervention, and evaluate drug-response and combination tasks.
Read ProteinTalks03
Spatial context
FAXP
Connect protein measurements to tissue location, cells and organelles through image-guided sampling.
Read the spatial method04
Multimodal integration
Knowledge · architecture · dynamics
Combine complementary molecular layers with biological priors and function-centered model design.
Read the data frameworkPublished temporal modeling and spatial measurement are foundations for our developing integrated time–space framework.
AIVC partnerships
Data for the question.
Models for the decision.
Connect purpose-designed experiments, scenario-specific predictions and reusable cellular representations.
Explore applicationsCustomized datasets
Controlled perturbation proteomics and relevant multi-omics, with quality control and functional readouts.
Predictive vertical models
Fine-tune for a defined drug-research task and evaluate predictions independently.
Foundation model
An oncology-first development program, with new data guiding expansion to further biological contexts.
Featured products · Research kits
Tools for protein biology.
FAXP for spatial protein measurements. OmniProt for plasma and serum enrichment.
Research kit
OmniProt™
A nanoparticle-based research kit for enriching low- and medium-abundance proteins before mass-spectrometry analysis.
Explore OmniProtResearch kit
FAXP™
Tissue-expansion and sample-preparation workflows connect protein measurements with tissue, cell and organelle location.
Explore FAXPResearch kits complement our AIVC partnerships and measurement services.
Clinical diagnostics
Protein measurements.
Clinical laboratory applications.
Explore our diagnostic products and translational proteomics capabilities.
Clinical laboratory test kit
LMDx IGF-I
Insulin-like growth factor I, measured by LC–MS/MS.
A mass-spectrometry-based test kit for IGF-I quantification, supporting laboratory assessment of growth and endocrine biology.
Thyroid-nodule proteomics
ThyroProt
Protein evidence for thyroid-nodule assessment.
Quantitative proteomics and AI for investigating benign and malignant thyroid nodules, including tissue and fine-needle-aspiration research.
Product-specific intended use and availability are separate from AIVC research predictions. Contact our clinical team for current product documentation.
Research partnerships
Bring us a biological question.
Define the intervention, context and decision. Build the evidence together.