designed for disovery

Nygen Intel

Your next drug target is already discovered.

Our AI bioinformatician analyzes thousands of public single-cell datasets. The novel targets are waiting for you to claim.

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The Gap in Target Discovery

Thousands of single-cell datasets in public repositories contain undiscovered drug targets. Traditional analysis takes months and costs on average - $50K+ per study. Standard pipelines miss ~70% of novel cell states needed for biomarker validation.

Designed for Biomarker Discovery teams

Scientists running target discovery and biomarker validation need validated cellular data without months of annotation overhead. Nygen Intel provides resolution your standard pipeline can't reach.

Pre-analysed intelligence for biomarker validation and target identification in drug discovery using public single cell RNA-seq datasets and atlases

Pre-Analyzed Data for Drug Discovery

Nygen Intel delivers annotated single-cell atlases for target discovery, biomarker validation, and translational research. CyteType, our multi-agentic platform, processes public datasets at 300-400% improved accuracy over existing methods.

Deep Cell Characterization

Nuanced cell type identification with confidence scores

Identification of metabolic, immunogenic and differentiation related cell state

Identification of novel or ambiguous cell populations

Quality metrics for annotation reliability

Disease Impact Analysis

How disease states affect cellular populations

Altered pathways and gene programs in disease

Cell type specific changes between conditions

Functional implications of cellular shifts

Biological Contextualization

Relevant citations supporting cell type assignments

Connection to established cell ontologies

Critical pathway identification

Marker genes with expression specificity metrics

Actionable Insights

Potential therapeutic targets by cell type

Biomarkers for cell population identification

Cell surface proteins for therapeutic targeting

Key transcription factors driving cell states

Powered by CyteType

Single-cell datasets in biopharma now routinely contain millions of cells across complex disease models. Yet annotation remains constrained by static reference atlases and marker-based approaches that fail to capture disease-relevant biology, creating critical bottlenecks:

Building in-house datasets?

CyteType is available as a standalone annotation tool with full pipeline integration.

Explore CyteType

View on GitHub

Interactive reports that unlock deeper biology

Nygen Intel provides interactive HTML reports, serving as an exploratory workspace with annotations, evidence, and confidence scores for each cluster.