Technology
Our Technology
From sampling to interpretation, every step is designed to strengthen analytical robustness, refine the microbial profile and make the result clinically useful.
From sample to actionable insight
Each link in the chain matters – from the quality of the sample to the way the data is interpreted.
Sampling & stabilisation
Standardised instructions and stabilisation device to preserve the integrity of microbial DNA throughout transport.
Shotgun metagenomics
Whole-genome sequencing for a rich taxonomic and functional reading of the microbiome.
Multi-kingdom bioinformatics
Separate pipelines and databases for bacteria, fungi, viruses and parasites.
Multi-level reporting
From action-oriented priorities to expert views and advanced indices in the same dashboard.
Why our approach goes further
Synthetic benchmark of current microbiome technologies.
| Technique | ALT 116S | ALT 2WGS | |
|---|---|---|---|
| Bacteria | |||
| Fungi | |||
| Viruses | |||
| Parasites | |||
| Taxonomic resolution | |||
| Functions / pathways | |||
| Personalisation | |||
| Clinical robustness (potential) |
For viruses, DNA sequencing mainly explores DNA viruses. Exploring RNA viruses requires a specific analytical strategy.
A bioinformatics pipeline dedicated to each microbial kingdom
Bacteria
High-resolution taxonomic profiling and functional pathways for key bacterial species.
Fungi
Specific tools to better capture the intestinal mycobiome, often under-analysed in standard pipelines.
Viruses
Targeted detection of DNA viruses with context on current methodological limits.
Parasites
Identification of certain intestinal parasites relevant to the overall microbiome balance.
From raw data to decisions: AI-assisted knowledge base
Population reference cohorts
Signals are compared with large-scale metagenomic cohorts such as the Dutch Microbiome Project.
Literature-enriched knowledge base
More than 1,000 scientific publications structured in a proprietary knowledge base.
AI-assisted extraction & ranking
LLM-type models accelerate reading, structuring and ranking of associations between microorganisms, symptoms and pathways.