Bridge discovery & decision-making with actionable omics.

We uncover functional protein & metabolite biomarkers that elucidate dynamic disease biology, mechanism of action, and responder profiles to de-risk development for better outcomes.

The only multi-omics partner to analyze your samples and confirm the findings in real-world cohorts.

Through diverse multi-omics services and our DynamiQ™ molecular-clinical database, Sapient generates deeper molecular data, integrates it across every omics layer, and grounds it in real-world human evidence – so your insights come with the confidence to act.

Deeper biology.

We go beyond the genome to profile functional biology via dynamic biomarkers, the ultimate effectors of health & disease states.

multi-omics services provider

Smarter decisions.

By identifying actionable biological mechanisms, we help you rapidly move from discovery to decision-making and confidently:

  • Identify & Validate Targets
  • Stratify Patients
  • Predict Efficacy
  • Monitor Response

Faster breakthroughs.

Validate findings and strengthen evidence to advance the right drug candidates with Sapient’s DynamiQ™ platform for:

multi-omics services provider

Ready to answer,

“what biology can still be uncovered?"

Drug development often stalls when disease biology and drug mechanisms are insufficiently understood in humans. We make more of this biology explainable to fundamentally shift your odds of success.

The dynamic omics data Sapient generates adds the biological & disease context needed to functionally validate biomarkers and targets, ensuring the most promising proceed. 

See example use cases in your research area: 

DISCOVERY

Identify and prioritize novel targets through deep biological profiling.

  • Comprehensively characterize the tumor proteome including surface targets
  • Map functional signaling pathway activation & oncogene activity
  • Profile immune cell states and pathways

Enable rapid proof-of-mechanism with protein- and pathway-level resolution:

  • Confirm target engagement & pathway modulation
  • Characterize cancer resistance mechanisms
  • Measure drug tissue distribution

Strengthen oncology trials with mechanistic insight to stratify patients.

  • Identify predictive & prognostic biomarkers for patient selection
  • Uncover resistance and response patterns
  • Link immune phenotypes to treatment response durability
multi-omics services for oncology
DISCOVERY

Decipher the heterogeneity underlying abnormal metabolic states.

  • Identify non-genetic factors influencing metabolic perturbations
  • Map pathway-level variations across metabolic pathways
  • Define disease subtypes based on functional biology

Leverage Sapient’s platform & DynamiQ data to confirm biomarker findings.

  • Raidly cross-validate preclinical findings in human models
  • Contextualize biomarker discoveries in independent cohorts
  • Characterize signatures of glycemic, lipid, or inflammatory response

Enable adaptive trials with monitoring of dynamic omic markers.

  • Track metabolic changes for early prediction of response or adverse events
  • Layer in non-genetic markers to enrich trials for likely responders
  • Uncover mechanistic patterns underlying varied clinical outcomes
DISCOVERY

Reveal novel CNS disease biology & mechanisms that may be unpredicted by established biomarkers.

  • Broadly profile neuro-specific biomarkers beyond the genome for novel discovery
  • Map pathway‑level drivers that distinguish fast vs. slow disease progression
  • Differentiate patient subtypes through integrated cytokine, protein & metabolite signatures

Validate CNS biomarkers & targets by adding mechanistic context.

  • Confirm pathway modulation through measure of dynamic markers
  • Enable early detection of disease to stratify at-risk populations
  • Contextualize drivers of neuroinflammation, non-response, etc.

Leverage dynamic markers to read out evolving disease & treatment response.

  • Combine multi-omics data & neuroimaging to refine inclusion criteria
  • Track signals of early response or emerging non-response
  • Dynamically optimize dosing & timing of treatments
DISCOVERY

Uncover the non-genetic factors that influence autoimmunity.

  • Broadly profile dynamic changes that occur with immune system activation & dysregulation
  • Read out early and subtle changes in immune cell populations
  • Map pathway-level drivers of innate and adaptive immune responses

Enable deep immune phenotyping with Sapient’s DynamiQ data.

  • Confirm biomarker findings within and across human cohorts with autoimmune conditions
  • Identify omic signatures to differentiate disease mechanisms and disease subtypes
  • Confirm target engagement & downstream pathway modulation

Stratify patients by disease subtype and/or likelihood of response.

  • Discern pharmacodynamics for optimal dosing & timing of treatments
  • Track dynamic biomarker shifts to detect early response & response durability
  • Monitor for immune-related adverse events (irAEs)
DISCOVERY

Look beyond genetic sequence alone to decipher rare disease biology.

  • Elucidate cascading effects that a single gene alteration can have across signaling networks
  • Differentiate phenotypes in patients with the same causal gene mutation
  • Uncover disrupted pathways and disease mechanisms for targeting

Confirm systemic pathology resulting from genetic mutations.

  • Contextualize findings using Sapient’s rare disease virtual cohorts
  • Confirm underlying mechanisms driving rare disease phenotypes
  • Prioritize targets with therapeutic relevance

Leverage direct protein measures for accurate readout of therapeutic effects.

  • Quantify proteins to confirm target engagement & potential off-target effects
  • Monitor dynamic biomarker changes to detect early response or adverse events
  • Support adaptive trial designs
ONCOLOGY CASE STUDY 

Discovery of novel targets across oncogenic pathways in FFPE tissue

How Sapient’s next-generation FFPE Proteomics method measures >10,000 proteins in a single FFPE tumor section, delivering protein- and pathway-level resolution across 200+ oncogenic pathways. 

Cardiometabolic CASE STUDY 

Systematic Inflammatory Profiling Reveals Immune Modulation in Response GLP-1 Therapy

See novel findings from a study combining cytokine profiling, discovery proteomics, and discovery metabolomics to characterize changes in inflammatory markers following weight loss intervention.

CNS DISEASE APPLICATION

Quantify the Alzheimer’s Disease biomarkers that matter most – in one assay

See how the NULISAqpcr AD 5-plex assay enables absolute quantitation of APOE4, BD-pTau217, Aβ42, GFAP, and NfL, allowing for integrated assessment of AD and dementia.

IMMUNOLOGY CASE STUDY

Lysosomal dysfunction and inflammatory sterol metabolism in PAH

See how this landmark study supported by Sapient establishes causative linkages between lysosomal dysfunction and oxysterol metabolism, endothelial cell inflammation, and pulmonary arterial hypertension (PAH).

RARE DISEASE CASE STUDY

Discovery of a biomarker of symptomatic manifestation of mitochondrial disease

Detailing the discovery of specific small molecules that are altered in patients with sequence-verified mitochondrial disease- found to be in a biochemical pathway not yet described before in humans.

Move from data to breakthroughs in weeks, not months.

Our high throughput workflows ensure rapid turnaround of data and insights within and across all development phases.

First, we help you select the experimental approach best suited to your biological question – guiding decisions around:

  • In vitro, in vivo, or virtual experiment
  • Discovery vs. targeted analysis
  • Singular or multiple integrated omics
  • Regulatory considerations

We deliver high-specificity molecular measurements at scale, with rapid sample processing via:

  • Discovery and targeted proteomics, metabolomics, and/or cytokine profiling
  • Next-generation mass spectrometry platforms monitored via robust QC metrics
  • AI-enabled computational pipeline for spectral processing and metabolite identification

We turn data into insights with a rich biocomputational framework to identify and characterize targets & markers using:

  • Expert integration of molecular, phenotypic, and clinical data
  • Integrated multi-omics analyses to interpret these datasets – from regression analysis to ML-based modeling
  • Our DynamiQ™ Insights Engine to provide added biological & disease context to findings

We deliver insights made to act on, uncovering novel biology & accelerating go/no-go decisions with findings delivered in:

  • An insights report offering an integrated biological narrative, not just features
  • Processed and raw data packages
  • An expert-guided presentation to collaborate on findings and next steps

Move from data to breakthroughs in weeks, not months.

Our high throughput workflows ensure rapid turnaround of data and insights within and across all development phases.

First, we help define how to answer your biological question with guidance on:

  • In vitro, in vivo, or virtual experiment
  • Targeted vs. nontargeted
  • Singular or multiple integrated omics
  • Regulatory considerations

We deliver high specificity measures at scale, with rapid sample processing via:

  • Proteomics, metabolomics, and/or cytokine profiling
  • AI-enabled computational pipeline for spectral processing, and metabolite identification

Explore the science.

biomarkers in precision medicine

Rx for Biotech Podcast: “The Future of Precision Medicine & How Biomarkers Can Guide Treatment”

functional proteomics analysis

Proving Target Relevancy: A Fast Path to Functional Biology with FFPE Proteomics

metabolomics foundation model

Mapping Human Metabolic Diversity with Foundation Models: A DynamiQ Approach

metabolomics research

What Discovery Metabolomics Reveals About Human Biology

ms-based ffpe proteomics

Mass Spectrometry-Based FFPE Proteomics as a Transformational Platform for Modern Oncology R&D

multi-omics leader

Inside Sapient’s Multi-Omics Revolution: A Deep Dive with Founder Mo Jain

immune response to glp-1 therapy

Systematic Inflammatory Profiling Reveals Immune Modulation in Response to Weight Loss Intervention

creatinine assay

Marker of the Month | Creatinine

biocomputational analysis addressing outliers

Mind the Gaps: The Real Impact of Missing Data and Outliers in Biocomputational Analysis

nulisaqpcr bd-ptau217 assay

NULISAqpcr™ BD-pTau217 Assay

multi-omics approaches

From Lab to Launch Podcast: “The proof is in the protein”

omics data analysis

Bioanalysis Zone Feature: Scaling biomarker discovery—more data, deeper insights

metabolomics analysis at scale

The Omics Brief | Novel Findings from Deep Metabolomics Analysis in Population Scale Studies

omics data pca analysis

Enhancing Omics Data Integrity: A Principled Approach to PCA-Based Quality Assessment

aging clock model

Turning back the metabolic aging clock

metabolic aging clock

Rapid Liquid Chromatography-Mass Spectrometry (rLC-MS) for Deep Metabolomics Analysis of Population Scale Studies

biological metadata analysis

Clean Metadata, Credible Insights: The Critical Role of Diligent Metadata Preprocessing

ihc analysis vs mass spectrometry

From IHC to Mass Spectrometry: Expanding Possibilities in Clinical Protein Analysis

Let's get started.