High-throughput taxonomic profiling for clinical pathogen detection and early-stage cancer screening and type classification.

Enabling Foundation-Model Pretraining on Noisy, Real-World Corpora.

A new approach to understanding and controlling evolutionary dynamics in microbial systems.

The first large-scale dataset enabling AI to predict and engineer microbiome interventions.

The first multimodal foundation model for microbial communities. Combines genomics, metabolomics, and clinical data. Predicts drug-microbiome interactions at scale.

We are making the microbiome computable.

Bridging the speed-accuracy gap in metagenomic classification, identifying microbial species with high precision at a fraction of the computational cost.