Anto

Anto is a frontier biology AI lab focused on making the gut microbiome computable for drug development. The gut microbiome can metabolize drugs, convert compounds into active or toxic forms, and modulate immune responses, yet drug development often treats it as noise. Anto addresses this by applying quality-aware, goal-directed sparsification algorithms to remove low-quality data from microbiome datasets, leaving the predictive signal, and by turning large-scale sequence data into causal models of microbial ecosystems.

Its work spans sparsification and tokenization methods for microbiome data, causal modeling of microbial ecosystems to forecast dynamics and predict intervention outcomes, and foundation models for microbial communities. The Darwin model series predicts drug toxicity and efficacy across diverse populations and supports molecule optimization. The company also combines large-scale multi-omics with interventional trajectories and AI-guided lab-in-the-loop validation, and publishes research in computational biology, AI, and pharmacology.

Anto is aimed at drug development and pharmaceutical research contexts where microbiome variability affects drug response. The pages describe research and application work rather than a packaged software product, and do not state a free plan, trial, editions, or pricing model.