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Vitalis

The Future of Omics Research — Copiloting Scientists to Accelerate Discovery

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Transform your workflows, save valuable time for your labs.

Data Harmonization in Action

Integration

Efficiency

Success Metrics

Reduced schema errors

Aligned ontologies across

Limit metadata chaos

Data Harmonization in Action

Integration

Efficiency

Multi-Omics Potential

Compare and integrate data from different molecular layers.

TCGA

GEO

NCBI

EBI

PRIDE

Encode

TCGA

GEO

NCBI

EBI

PRIDE

Encode

Precision. Clarity. Acceleration.

How we transform the status quo

Standardization

Detect inconsistencies, align variable names, and map datasets to community-accepted standards

Standardization

Detect inconsistencies, align variable names, and map datasets to community-accepted standards

Real-Time Insights

identify patterns and relationships across datasets, from genes to pathways

Real-Time Insights

identify patterns and relationships across datasets, from genes to pathways

Scalable Infrastructure

Integrate seamlessly into existing environments and grows with your research demands

Scalable Infrastructure

Integrate seamlessly into existing environments and grows with your research demands

Data Privacy

Secure handling, encrypted transfers, and compliance aligned design, ensure that data is protected

Data Privacy

Secure handling, encrypted transfers, and compliance aligned design, ensure that data is protected

System Intelligence

Algorithms learn from recurring patterns and decisions, and enhance how future datasets are interpreted

System Intelligence

Algorithms learn from recurring patterns and decisions, and enhance how future datasets are interpreted

Dedicated Support

We work closely with you to onboard your datasets and troubleshoot integration

Dedicated Support

We work closely with you to onboard your datasets and troubleshoot integration

INTEGRATIONS

Connect with the latest tools to streamline workflows

DESeq2, edgeR, and Bioconductor for gene-level analysis.

Seurat, Scanpy, and Cell Ranger for RNA-seq workflows.

PRIDE, MaxQuant, and MSstats for quantitative proteomics.

GEO, TCGA, ENCODE, and MetaboLights for cross-domain data.

DESeq2, edgeR, and Bioconductor for gene-level analysis.

Seurat, Scanpy, and Cell Ranger for RNA-seq workflows.

PRIDE, MaxQuant, and MSstats for quantitative proteomics.

GEO, TCGA, ENCODE, and MetaboLights for cross-domain data.

DESeq2, edgeR, and Bioconductor for gene-level analysis.

Seurat, Scanpy, and Cell Ranger for RNA-seq workflows.

PRIDE, MaxQuant, and MSstats for quantitative proteomics.

GEO, TCGA, ENCODE, and MetaboLights for cross-domain data.

See Vitalis in Action

Experience a unified workspace designed for researchers.