Your Biology Is Unique.
Your Care Should Be Too.

We're building at-home sampling kits paired with AI that learns how your body works over time—so you and your doctor can find interventions that actually help. Starting with autism spectrum disorder.

How It Works

Conditions like autism affect everyone differently, which is why the same treatment can work for one person and not another. We're developing sampling kits that measure multiple aspects of your biology—your gut microbiome, metabolism, proteins, and more—to build a complete picture of what's happening inside your body.

Our AI then uses this picture to identify which subtype of a condition you have and which interventions are most likely to help your specific symptoms.

Simple sampling: Collect samples at home—no clinic visit required
Complete picture: We measure across multiple biological systems, not just one
Personalized insights: Understand your unique biology and what interventions may work for you

Your Digital Twin: A Model of You

Think of a digital twin like a weather forecast, but for your body. Just as meteorologists combine temperature, pressure, humidity, and wind data to predict tomorrow's weather, we combine data from your gut bacteria, metabolism, proteins, and genes to model how your biology works.

Most approaches take a single snapshot of one biological system. We track multiple systems over time. This matters because your biology isn't static—it's constantly changing. By learning these patterns, our AI can predict how your body will respond to different interventions before you try them.

This is powered by a type of AI specifically designed to learn how complex systems change over time. Where standard AI sees a still photo, our platform sees the whole movie—capturing how your biological systems interact and evolve together.

Why This Approach Is Different

Most health tests look at one thing—your DNA, or your microbiome, or a blood panel. Each gives a partial view. We combine all of them, and the result isn't just additive—it's exponentially more accurate.

Multiple biological layers, not just one: Gut microbiome, metabolites, proteins, and genetics analyzed together reveal patterns no single test can detect
Changes over time, not just a snapshot: Our AI models how your biology evolves, which is critical for predicting what will help
Causes, not just correlations: Most AI finds patterns that appear together. Our platform identifies which biological factors are actually driving symptoms—and what happens when you change them. This is what makes our predictions actionable
Purpose-built technology: To make this possible, we built a new programming language from the ground up—designed specifically for constructing AI models that reason about cause-and-effect under uncertainty. This lets us coordinate specialized models across each type of biological data into a single, coherent picture
Backed by published science: Our methodology has been validated in Nature Neuroscience, Nature Methods, and Nature Communications, and trained on over 1 million curated biological samples

AI model architecture for multi-omics analysis

Core Modeling Team for Wellcome LEAP FORM

We are the core computational modeling team for Wellcome LEAP's FORM program (Foundations of a Resilient Microbiome)—a $50 million global initiative investigating the link between the gut microbiome and neurodevelopment in early life.

As part of this consortium, we are analyzing multi-omics data from 17,000 individuals across multiple longitudinal birth cohorts, working alongside world-leading research institutions to determine whether early-life microbiome dysfunction is causally linked to neurodevelopmental outcomes including autism.