FLUX
DYNAMIC MEASUREMENT
Perfused microfluidics hold living organoids in a controlled microenvironment while time-resolved metabolomics capture bioenergetic flux in real time — the dynamic readout static assays can't see.
// METEOR // MAIN
Developing next generation therapeutics from
METABOLIC
INTELLIGENCE
Drug discovery platform for complex disease using physics-driven AI and microfluidic metabolomics.
FLUX × FORCESEQUENCE NO. 00112687RUN
// METEOR // PLATFORM
Two integrated systems, one closed loop.
FLUX measures living metabolism as it happens; FORCE turns those dynamics into predictive, physics-constrained models. Together they form a continuous measure → infer → design loop.
FORCE
PREDICTIVE INTELLIGENCE
Physics-constrained models turn measurement into a navigable map of cell-state space — resolving disease from health and predicting which interventions move metabolism where you want it.
DUAL SYSTEMSEQUENCE NO. 00112687ONLINE
// METEOR // SCIENCE
Disease control lies beyond molecular targets.
Cellular state is governed by dynamic bioenergetic control architecture. Meteor is building tools to learn and reprogram that layer.
// METEOR // DISCOVERY
Turning control into therapeutics.
What we learn about bioenergetic control becomes the blueprint for intervention — a new class of de novo small molecule metabolic transducers, designed to guide cells back toward a healthy state.
Designed from first principles.
FORCE operates internally in a richer state-space representation — one that surfaces structure standard metabolomics misses. We translate that into decision support in the formats your teams already run on, with no new interpretive infrastructure to absorb.
A more powerful engine, familiar deliverables.
WHAT PARTNERS RECEIVE
01Patient enrichment hypotheses
02Ranked metabolic signatures
03Candidate biomarker panels
04Mechanism-of-action hypotheses
05Responder / non-responder stratification
06Drug-combination rationale
DE NOVOBATCH NO. 00021DESIGN
// METEOR // PLATFORM // TEAM
Where computational biology meets production AI.
Tyler Quarton came to metabolism from computational biology at NASA; Gabriel Trisca from building AI at Google. Together they lead a team decoding — and reprogramming — the control layer of disease.
WHY METEOR
PHYSICS-GROUNDED
We use physics-constrained models and dynamic measurements to reveal bioenergetic control mechanisms with predictive fidelity.
PLATFORM-NATIVE
Our integrated microfluidics + metabolomics platform is built for speed, scale, and reproducibility across disease models.
PARTNER-READY
We collaborate closely with pharma, biotech, and academic partners to co-develop programs from biology to candidate insight.
CORE TEAMEST. 2025BUILD