The Missing Layer Between Genomics and Clinical Reality
Most research focuses on DNA.
Biology happens in the metabolome.

With Linearis, you can:
Capture biology quantitatively and reproducibly
Convert irreplaceable samples into permanent digital assets
Generate AI-ready datasets at scale

Metabolomics

• Reflects true physiological state

• Metabolic changes can occur in asymptomatic stages

• Reveals the underlying mechanisms of multiple diseases

• Early cancer detection, measure disease progression & treatment response

Biological samples degrade.
Freezers fail.
Data is lost.

We convert your biospecimens into high-resolution metabolomic profiles of ions and molecules from 100 to 3000 Daltons) — permanent, AI-ready representations of biological reality.

Capture the dynamic physiological state in an immutable digital record.

HMDB lists 250,000 metabolites

HMDB (Human Metabolome Database) is the comprehensive reference of ~250,000 known and predicted metabolites.

It represents:

• endogenous metabolites and lipids

• exogenous compounds (drugs, environmental compounds, food constituents, etc.) 

• microbiome-derived molecules

HMDB reports the known metabolome and lipidome space of human biology.

HMDB is a comprehensive reference for annotation and biological interpretation.

Targeted metabolomics enables quantitative measurements.

The key difference:

• HMDB shows what’s possible

• GigaKit™ measures what’s reliable

While HMDB contains ~250,000 metabolites, only a subset can be:

• consistently detected across studies

• accurately quantified

• reproducible in large-scale cohort

GigaKit™ focuses on this validated, actionable subset.

Because scale without reliability creates unusable data.

Untargeted approaches generate thousands of signals, but:

• many features/peaks remain unidentified

• quantification is  limited to relative variation

• results are difficult to reproduce and interpret

This limits:

• clinical translation

• AI model performance

• cross-study comparability

GigaKit™ is designed to convert biological complexity into structured, usable data.

What makes it different:

• Up to 1,780 metabolites in one assay

• Across 39 chemical families (15 lipids and 24 metabolites classes)

•  389 standards and 279 isotope-labeled internal standards

• Reproducible

• Built-in standards and QC for reproducibility

• Vendor-neutral and scalable

• AI-ready datasets — no preprocessing required

You get broad coverage with targeted-level confidence.

Provides AI-Ready Data

• Clean, structured datasets

• No preprocessing required

• Direct integration into ML and analysis pipelines

Not Just Data — Insights

We go beyond measurement.

Built-in analytics:

• Statistical analysis (PCA, PLS-DA, clustering)

• Machine learning models

• Feature importance ranking

Advanced option:

• AI-derived molecular signatures

• Biomarker discovery

• Predictive modeling

Turn complex datasets into actionable biological signals.

Standardization at Scale

• Kit-based platform → reproducible across studies, sites and different vendors

• Absolute quantification (not relative)

• Designed for discovery and qualification of biomarkers obtained from  large cohorts

Low Sample Requirement

• Works with as little as 50–100 µL

• Ideal for biobanks and rare samples

Efficient interpretation of biomarkers

• 82 samples per run

• Optimized for large cohorts

• Run in less than 30 minutes per sample

• Elimination of the identification bottleneck

• Maximizing Quantitative Information per Sample

• Analysis-Ready Datasets

• Accelerated Biological Interpretation

The most comprehensive targeted metabolomics platform available:

• Up to 1,780 metabolite measurements per assay

• Built-in Isotope-labeled standards and QC for reproducibility

• Kit developed by the metabolomic innovation centre (TMIC)  with 20 years of metabolomics expertise

• Vendor-neutral and globally deployable

• Designed for precision + scalability

• Raw data is provided

• AI-ready datasets — no preprocessing required

You get broad coverage with targeted-level confidence.

The main advantage of the GigaKit™as the name implies is the Kit. 

The kit is a set of standards that are provided in 14 wells of the standard  96-well plate layout, leaving 82 wells for your samples.  It incorporates a 7-point calibration curve, quality controls, blanks, and double blanks to ensure reliable and accurate results across batches.

The Kit is not lab specific and vendor specific, creating a metabolomic standard that elevates the field.

Linearis delivers ready-to-use, structured outputs:

• Quantitative metabolite concentration tables

• QC Batch reports

• Annotated metabolite database mapping

• Interactive HTML reports

• AI-ready datasets for machine learning

No preprocessing required. Your data are ready for analysis from day one.

Our metabolomics platform providing Research Use Only (RUO) services:

• Biomarker discovery

• Clinical research and validation

• Drug discovery and development

• Clinical trial stratification

• Multi-omics integration

• AI model development

Turn biological samples into predictive, actionable insight

Not all metabolomics data are created equal.

Targeted metabolomics (GigaKit™) measures a defined set of metabolites with standardized acquisition and processing methods, delivering high confidence and reproducible quantitative data. 

Untargeted metabolomics captures a broader range of features (often 5,000–50,000 ions), including unknown compounds—but with less certain identification and far more complex analysis.

Choose targeted metabolomics if you need:

• Quantitative, reproducible data

• High-confidence metabolite identification

• Standardization across studies or sites

• Data ready for AI and clinical translation

Choose untargeted metabolomics if you need:

• Broad discovery

• Novel or unexpected metabolites

• Early-stage hypothesis generation

• Digitize precious samples such as biobank specimen

Recommended approach:

• Start with the GigaKit™  targeted for a robust foundation.

• Expand to untargeted if deeper exploration is needed.

With GigaKit™, you get the best of both worlds:  unmatched targeted coverage (up to 1,780 metabolites) with high-confidence quantification.

Linearis can provide results from both approaches.

Because data without quantification doesn’t scale or translate.

Quantitative metabolomics enables:

• Cross-study comparability

• Reproducibility across sites

• High data quality and traceability

• Clinical and regulatory readiness as real-world evidence

 If you want AI-ready or clinically actionable data, quantification is essential.

Yes. Linearis supports both.

Best practice:

1. Start with GigaKit™ targeted profiling
   Build a clean, quantitative baseline

2. Add untargeted metabolomics (if needed)
   Explore unknown biology

This approach maximizes both confidence and discovery.

Built for the Future of Medicine

Metabolomics is the closest link to phenotype.

It enables:

• early disease detection

• treatment response monitoring

• precision medicine

• systems biology insights

And when combined with AI:

It becomes a predictive engine for biology.

Data Sovereignty & Trust

• 100% processed locally

• Secure handling of sensitive biological data

• Built for researchers in all fields including biopharma, biobanks, and clinical research

• You get the raw data, not just the interpretation

Use Cases

• Biobank digitization

• Drug discovery & development

• Biomarker identification

• Clinical trial stratification

• Multi-omics integration