Clear Insights from Complex Data
We transform complex multiomics data into actionable understanding - accelerating research, clarifying biology, and enabling next-generation therapies.
Where Multi-Omic Data Meets Real-World Discovery
100,000+ Proteogenomic Dataset
Over 100,000 paired proteomic and genetic samples, powering deep biological analysis.
Stanford-led Organ Aging Models
Stanford-origin clocks reveal biological aging at the organ level - with clinical relevance.
Built-in Causal Inference Capabilities
Mendelian randomization and pQTL-based analytics turn associations into insight.
Built on One of the World's Largest Proteogenomic Datasets
100K+
Proteomics Samples
50K+
Matched Genotypes
20+
Diverse Cohorts
And Protemomic Organ-aging Clocks
11+ Organ Systems
Biological aging modeled across all major organ systems
11,000+ Proteins
High-resolution insight from high-throughput proteomic data.
45,000+ Model Validation
Organ aging models validated across diverse populations
Empowering Teams with Deep Capabilities Across High-Complexity Use Cases
Identify Biomarkers for Risk or Disease
Discover proteins associated with clinical traits, outcomes, or disease risk - enabling better stratification and earlier intervention.
Track Aging and Resilience Across Organs
Assess how individual organs are aging relative to peers — detecting early decline, hidden vulnerability, or resilience over time.
Measure the Impact of Interventions
Quantify how a treatment, exposure, or lifestyle factor shifts biological signatures across organs - even before symptoms appear.
Uncover Mechanisms Behind Observed Changes
Assess how individual organs are aging relative to peers - detecting early decline, hidden vulnerability, or resilience over time.
Prioritize Proteins with Evidence of Causality
Determine whether a protein is likely to cause a given phenotype or outcome, using genetic instruments to go beyond correlation.
Add Molecular Insight to Existing Studies
Layer Teal’s analytics onto proprietary or external data to extract deeper insight from cohort studies, trials, or biobank data.
Teal's Platform is Built on Foundational Peer-Reviewed Research
Services at a Glance
Differential Protein Analysis
We identify proteins that shift meaningfully across conditions, revealing molecular signatures of disease, intervention, or change.
Causal Inference
We go beyond correlation — using genetic instruments to test whether proteins are likely to cause specific phenotypes or outcomes.
Trait & Outcome Association
We uncover proteins linked to clinical traits, risks, and outcomes — illuminating hidden biology behind observable patterns.
Pathway Enrichment
Our analyses surface biological pathways and functional themes that underlie your data, guiding deeper investigation and hypothesis generation.
Organ-specific Aging Clocks
Built on Stanford-originated IP, our clocks quantify biological aging across organs, offering early insight into systemic decline.
Custom Analytics
From study design to novel hypotheses, we collaborate closely to shape and execute tailored analyses grounded in your scientific goals.
