Unlocking Molecular Diagnosis for Every MRI

Native AI for MR Spectroscopy

Every MRI already holds metabolic insight waiting to be read. METLiT makes it accessible.

Clinical Evidence

MRS has always had the potential. What’s been missing is a way to use it — everywhere.

The diagnostic utility of MRS-based metabolite biomarkers has been established through decades of academic research and 180,000+ publications. The problem was never a lack of evidence — it was a lack of accessibility.

Neurological Differential Diagnosis

MRS generates a metabolic fingerprint of living brain tissue — measuring neuronal integrity, membrane turnover, energy metabolism, and neurotransmitter balance simultaneously. Each disorder produces a distinct metabolic signature that structural MRI alone cannot reveal.

Alzheimer's · Parkinson's · MS · Brain Tumors

Drug Response Monitoring

MRS can detect metabolic changes before structural changes appear, enabling early and objective assessment of drug treatment response — critical for pharmaceutical clinical trials and personalized treatment strategies.

Detect change before imaging can

Non-invasive Molecular Profiling

Brain biopsy is virtually impossible. MRS is the only clinical examination that can obtain molecular-level information from brain tissue non-invasively — a core diagnostic tool in the era of precision medicine.

The only non-invasive molecular test for the brain

The Unmet Need

A proven science, waiting to be unlocked

MR Spectroscopy can reveal molecular-level information hidden inside every MRI — yet the gap between its potential and clinical reality remains vast.

180K+

Publications on PubMed

Decades of scientific validation

PubMed search: "magnetic resonance spectroscopy"

Nearlyall

MRI Scanners Already Capable

MRS sequences available on most systems

J Nucl Med 2011;52:492

Rare

Clinical Adoption

Limited to select research centers

J Nucl Med 2011;52:492

Expert

Dependent Analysis

Steep learning curve with specialized training required

MRspecLAB, Front Neuroimaging 2025

AI Agentic Architecture

Not just AI.
A system that reasons autonomously.

METLiT’s AI is not a single model. When spectrum data is received, specialized AI Agents autonomously collaborate to complete the entire workflow — from preprocessing to quality assessment, quantification, clinical interpretation, and reporting — without human intervention.

01

Self-orchestrating

Agents that think for themselves

Each Agent executes autonomously based on its own decision criteria, automatically exploring alternative paths when anomalies arise.

02

Physics-informed

Grounded in physical law, not just data

AI built on the first principles of MRS physics. Not a black box — reasoning grounded in the laws of physics.

03

Uncertainty-aware

Every result comes with a confidence score

Bayesian deep learning-based uncertainty quantification. Confidence scores accompany every result to support clinical decision-making.

Core Technology

The World’s Most Advanced
MRS AI Quantification Engine

517+

Metabolites Quantified

Including Glu, Gln, GABA, GSH and other clinically critical metabolites — 3× more than conventional methods. Brain MRS as a representative example; applicable to other organs.

Published in Magnetic Resonance in Medicine
~30 min<15sec

Fully Automated

No expert required. End-to-end autonomous pipeline from raw scanner data to clinical report — replacing hours of manual Ph.D.-level analysis.

GE·Philips·Siemens

Universal Compatibility

Consistent performance validated across all major clinical MRI platforms. No vendor lock-in, no workflow disruption.

Global Partners

Partnering with World-Leading Institutions

MoU / NDA established with leading medical institutions across North America, Asia, and Europe for multi-center collaborative research and clinical partnerships.

SNUHSeoul National University Hospital
SNUBHSeoul National University Bundang Hospital
NUSNational University Singapore
NUHNational University Hospital Singapore
NHCSNational Heart Centre Singapore
Penn MedicineUniversity of Pennsylvania
Johns HopkinsJohns Hopkins University Hospital
CHLAChildren's Hospital Los Angeles
Univ. of PerugiaUniversity of Perugia Hospital
KNUCHKyungpook National University Chilgok Hospital
CMCISMCatholic University of Korea, Incheon St. Mary's Hospital
Multi-center Clinical Studies · Retrospective Research · Multimodal Imaging Studies · Disease-specific Diagnostic Pipelines

Ready to unlock the clinical value of MRS?

Discover how METLiT fits your institution's clinical and research environment.

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