Modeling human microbiology with AI

Modeling human microbiology with AI

Outpost is building the AI layer for the largest unmodeled variable in human biology: the microbiome.

A continuous loop between biology and computation

A continuous loop between biology and computation

The microbiome shapes how we respond to drugs, food, and therapeutics, yet it remains largely unmodeled. Our lab-in-the-loop platform combines high-throughput experiments with machine learning in a continuous cycle, accelerating how quickly we decode the microbiome and turn that understanding into better health outcomes.

The microbiome shapes how we respond to drugs, food, and therapeutics, yet it remains largely unmodeled. Our lab-in-the-loop platform combines high-throughput experiments with machine learning in a continuous cycle, accelerating how quickly we decode the microbiome and turn that understanding into better health outcomes.

The microbiome shapes how we respond to drugs, food, and therapeutics, yet it remains largely unmodeled. Our lab-in-the-loop platform combines high-throughput experiments with machine learning in a continuous cycle, accelerating how quickly we decode the microbiome and turn that understanding into better health outcomes.

CapTURE

Capture advanced multi-omics readouts to establish both the composition of the microbiome and its function, pre and post intervention.

EXPERIMENT

Experiments test how drugs, food fibers, and other compounds interact with the microbiome. 

TRAIN

Train Outpost frontier models on the experimental results and open access data, improving prediction performance with each new data point.

Design

Design improved experiments using model predictions, closing the loop and speeding up discovery with each cycle.

CapTURE

Capture advanced multi-omics readouts to establish both the composition of the microbiome and its function, pre and post intervention.

EXPERIMENT

Experiments test how drugs, food fibers, and other compounds interact with the microbiome. 

TRAIN

Train Outpost frontier models on the experimental results and open access data, improving prediction performance with each new data point.

Design

Design improved experiments using model predictions, closing the loop and speeding up discovery with each cycle.

Design
TRAIN
CapTURE

EXPERIMENT

Better decisions at every stage of R&D

Better decisions at every stage of R&D

Predict how drugs, ingredients, and formulations interact with human microbial ecosystems. Flag risks earlier. Make sharper go/no-go calls.

Predict how drugs, ingredients, and formulations interact with human microbial ecosystems. Flag risks earlier. Make sharper go/no-go calls.

Predict how drugs, ingredients, and formulations interact with human microbial ecosystems. Flag risks earlier. Make sharper go/no-go calls.

Drug R&D De-risking

Ingredient R&D De-risking

Metabolism, toxicity, and efficacy screening for drug candidates in development.

Drug R&D De-risking

Metabolism, toxicity, and efficacy screening for drug candidates in development.

Ingredient R&D De-risking

Community shifts, metabolic output, and safety screening for food ingredients, probiotics, and consumer health formulations.

Drug R&D De-risking
Ingredient R&D De-risking

Metabolism, toxicity, and efficacy screening for drug candidates in development.

Team

We are scientists, technologists, and operators backed by top-tier investors, industry leaders in AI & high-performance compute, and global experts in precision medicine.

We are scientists, technologists, and operators backed by top-tier investors, industry leaders in AI & high-performance compute, and global experts in precision medicine.

Jenny Yang, PhD

CEO, Co-Founder

Oxford PhD & Marie Curie Fellow.

AI in cancer genomics & drug discovery.

Expertise in clinical ML & bioinformatics.

Jenny Yang, PhD

CEO, Co-Founder

Alex Merwin

COO, Co-Founder

Ops leadership at $1B+ scale at Amazon.

Health & bio lead at AWS Startups.

Experience at two unicorn-exited startups.

Alex Merwin

COO, Co-Founder

Heidi Arjes, PhD

VP, R&D

15+ years in microbiology 

Molecular genetics & genomics PhD

Leadership in academia & industry

Heidi Arjes, PhD

VP, R&D

Saif Ur-Rehman, PhD

VP, Engineering

First engineering hire at Basecamp Research

PhD in computational biology

Scaled bioinformatics & genomics infra

Saif Ur-Rehman, PhD

VP, Engineering

Neythen Treloar, PhD

Principal, ML Research Engineer

PhD in ML, mathematics, and SynBio

Foundation models and RL

AI for biological and microbial data


Neythen Treloar, PhD

Principal, ML Research Engineer

Joey Gardner, PhD

Principal, Computational Scientist

Chemical and Biological Engineering PhD

Multiomics and metabolic systems modeling across thousands of patients and three commercial platforms

Community health advocate and open-source builder

Joey Gardner, PhD

Principal, Computational Scientist

Kaitlyn Barrack, PhD

Scientist, Microbiome

Microbiology and Immunology PhD from Dartmouth

Expertise in developing in vitro gut microbiome models

Generating experimental pipelines to probe gut microbiome interactions at scale

Kaitlyn Barrack, PhD

Scientist, Microbiome

Sam Henderson

Associate, Finance & Operations

CFA Level 1, Western BMOS Finance.

Experience as a Data and Financial Analyst.

Sam Henderson

Associate, Finance & Operations
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