Technology
The only AI that speaks MRS.
We didn’t adapt a general-purpose AI for MRS.
We built an AI engine from MRS physics — from the ground up.
Core Engine
Not a black box. An AI that obeys physics.
An MRS spectrum is a chemical fingerprint — each peak shaped by the quantum-mechanical properties of the molecule it represents. These aren’t patterns to guess at. They’re laws to build on.
METLiT’s deep learning doesn’t just learn from data. It searches for answers within the boundaries that MRS physics allows. The result: an engine that is accurate not by coincidence, but by design.
Data Efficient
Learns from physics, not just volume. Superior generalization even with limited clinical datasets.
Physically Consistent
The model cannot produce results that violate spectroscopic principles. This is not a post-hoc filter — it is built into the architecture.
Transfer-Stable
Same physics, same performance. Consistent results across institutions, scanners, and protocols.
Overlapping metabolite signals — unresolvable by conventional methods
Bayesian uncertainty per metabolite
Physics-informed decomposition — not curve fitting
Performance
Side by side, there is no comparison.
Reliability
Every number comes with a confidence score.
Most AI gives you an answer. It doesn’t tell you how much to trust it. METLiT applies Bayesian deep learning to quantify uncertainty for every single metabolite. High confidence? Act on it. Low confidence? We tell you before you have to ask.
High Confidence
Clinically actionable — proceed with decision-making.
Moderate Confidence
Reliable with context — specialist review recommended.
Data Quality Issue
Signal quality insufficient — rescan recommended.
Universality
One AI engine. Every major MRI scanner.
Clinical MRI scanners vary — by vendor, by institution, by configuration. Conventional MRS software breaks when the setup changes. METLiT was built to handle this variability from day one. GE, Philips Healthcare, Siemens Healthineers — same AI, same result quality.
GE Healthcare
Nearly all versions of P-file format fully compatible
Philips Healthcare
SPAR / SDAT and Enhanced DICOM compatible
Siemens Healthineers
.rda, TWIX, and Enhanced DICOM compatible
Automation
From scan to report. No manual steps in between.
MRS data analysis has always been a multi-stage expert workflow: signal processing, quality control, quantification, interpretation, reporting. Each stage traditionally required different specialists.
METLiT automates the entire pipeline end-to-end. Where autonomous decision-making is needed — signal quality assessment, clinical pattern recognition — dedicated AI agents handle the reasoning. Where deterministic precision is needed — quantification, data ingestion, report generation — purpose-built engines execute flawlessly.