Services · In silico design

In silico design

Skip the wet lab and select strong probiotics from genomic data.

Engraftment

Scan your strain collection and pick the strains, and formulations, that grow in the target conditions.

Biosafety

Detect virulence, antimicrobial resistance and pathogenicity risks before they become a liability.

Impact

Select the treatments that reliably improve the properties you care about: disease control, stress tolerance, yield.

How it works

We build a computational model of your microbiome from genomic data and test candidate treatments in silico before you commit lab time: probiotic strain and consortium selection, and treatment ranking for a given system.

Priced per simulation (), booked in blocks of 1'000; the price per simulation falls with volume, and it is available on every project. Contact us to fit it into your workflow.

Candidate ranking · maize silage12'480 → 12
StrainGrowth matchBiosafetyPredicted effect
L. buchneri GD‑0410.92Clear+38 h aerobic stability
L. plantarum GD‑0070.84ClearpH −0.6
P. pentosaceus GD‑1120.61Clearlactate ×1.7
E. faecium GD‑0190.33Review:

Use cases

Medicine

Stratify patients for probiotic response from their microbiome.

Agriculture

Pick the biostimulant combination that improves soil properties.

Clean tech

Design pollutant‑removing consortia that thrive in soil.

Put your microbes to work.

Create a free account and start analysing your data.