Discover the biology encoded in your data.
Synthetic Cognition is Trobant.AI’s general-purpose AI engine for translational medicine and life sciences. It learns from cohorts as small as dozens of samples, and every prediction comes with the full biological explanation behind it — no black box, no massive datasets required.
No pretraining. No pre-parameterization. No specialization required — just connect your data.
Which cross-omic features distinguish viral controllers from non-controllers?
Found
320 genes + 1,295 methylation sites jointly separate the two patient groups.
Explained
Each feature comes with confidence, direction, and which omic layer it regulates.
Validated
Perfect classification across 10 train/test shuffles on the held-out cohort.
Which molecular features best classify breast cancer subtypes across omic layers?
Found
A joint transcriptomic + proteomic signature separating tumor subtypes with high consistency.
Explained
Every feature ships with its direction and confidence, and which omic layer it came from.
Validated
0.934 accuracy, ahead of the previous best-performing graph neural network approach.
Can regulatory motifs be classified directly from DNA sequence, without a foundation model?
Found
Regulatory motifs and epigenetic marks decoded directly from raw sequence data.
Explained
Each call ships with the specific sequence regions and confidence driving it.
Validated
Won outright in 52% of 57 genomic tasks against DNABERT-2, NT-v2, and HyenaDNA.
Can we predict sepsis risk in infants from a highly imbalanced dataset?
Found
A small set of clinical features that separate high-risk from low-risk infants.
Explained
Each risk score comes with the contributing clinical variables and their direction.
Validated
2nd place (AUC 0.592) in a public competition where only 2% of cases were positive.
Can single cells be clustered using two omic layers jointly, without a custom pipeline?
Found
206 cells clustered using RNA expression and chromatin accessibility together.
Explained
Each cluster assignment is explainable by the specific features that drove it.
Validated
Matched or beat dedicated joint-dimensionality-reduction methods built for this task.
See what Synthetic Cognition finds in your cohort.
Book a short walkthrough with our team. Bring a real (or anonymized) dataset and see prediction and explanation side by side.
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Discover trustworthy knowledge.
Trobant.AI's Synthetic Cognition is a general-purpose, explainable AI engine for translational medicine and life sciences.
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