Research Engines
Understand biology.
Design what comes next.
We are advancing models for cellular understanding and molecular generation, with a focus on immune biology and cyclic peptides. These research programs build on the data, execution and evaluation capabilities of the BioMate workbench.
Virtual Cell LLM
Active research programFrom cellular state
to testable hypotheses.
Our Virtual Cell LLM research explores how models of cellular state and response can inform target identification and other biomedical decisions.
We aim to connect multi-omics evidence, biological context and perturbation reasoning so researchers can prioritize hypotheses for experimental testing.
Molecular generation
Active research programExplore new
cyclic-peptide candidates.
We are developing generation models focused on cyclic peptides, bringing target context and molecular structure into candidate design.
The intended loop connects generation, computational evaluation and assay feedback, allowing each round to inform the next. Candidates remain hypotheses until tested experimentally.
One scientific foundation
Models connected
to the research process.
Biological context
Ground scientific questions in evidence, data and disease mechanisms.
Computational evaluation
Compare model outputs through explicit tasks, baselines and reproducible analyses.
Experimental learning
Use observed results to challenge predictions and guide future research.