THE AI PLATFORM FOR INDUSTRIAL NMR

From one NMR scan to validated insight in minutes.

Patented NMR AI models and in-house spectroscopy expertise turn one scan into physico-chemical properties and decision-ready insight — validated against your reference methods, comparable across instruments and sites.

THE PROBLEM

Quality decisions shouldn't wait for the lab.

Variable inputs
Every crude cargo, oil sample or spent solvent stream is different, and yesterday's analysis doesn't describe today's material.

One sample, many methods
A full quality profile can mean GC, distillation, Karl Fischer and more — each with its own instrument, operator and queue.

Calibrations that don't travel
Classic chemometric models often have to be rebuilt for every matrix, instrument and site.

HOW IT WORKS

From one scan to a decision

Measure

Run a benchtop NMR scan of your sample, with minimal preparation.

Predict

Our proprietary models, adapted to your matrix, return multiple physico-chemical properties and insight at once.

Decide

Get a traceable report, track drift over time and share results with your enterprise systems.

WHY ROMBO AI

Built by NMR scientists and AI researchers.

Patented, NMR-native models
We start from our openly published NMR foundation model and build patented, proprietary models on internal industrial datasets — so projects need less calibration data to get started.

Spectroscopy expertise in the loop
PhDs in machine learning, physics and mathematics with hands-on spectroscopy experience design each model with your analytical team, from sample preparation to acceptance criteria.

Validated on your methods
Every deployment is benchmarked against your ASTM or IEC reference methods, with metrics agreed before go-live.

FOUNDATION MODEL FOR NMR

Pre-trained on Millions of Spectra. Built for Industry.

Molecular structure visualization

At the heart of our platform is a proprietary transformer model — the first of its kind for quantitative NMR — pre-trained on millions of real-world spectra across materials, conditions, and instruments. Unlike traditional chemometric models that start from scratch on every dataset, our foundation model arrives with deep spectral knowledge built in. 

The result: faster calibration, higher accuracy on small datasets, and generalization across instruments and sample types. Our AI automatically interprets complex spectral data, delivering fast, precise, and scalable analysis — from molecular characterization to quantification. 

Built for industries such as energy, oil & gas, petrochemicals, biotechnology, and advanced materials, our foundation model transforms low-field NMR from a laboratory tool into a continuous source of material intelligence for industrial operations.

PROVEN IMPACT, TRUSTED BY INDUSTRY LEADERS

Clients and Partners

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How we work

Start with a free feasibility analysis.

We first assess the analytical problem, available data or samples, and target decision. If there is a strong fit, we define a focused pilot with clear objectives, success metrics, and a roadmap to scale.

1. Share the challenge

What sample type, workflow, and decision do you need to improve?

2. Assess feasibility

We review technical fit, data quality, sample requirements, and validation constraints.

3. Define the pilot

If the fit is strong, we propose objectives, metrics, timeline, and expected outputs.

4. Plan scale-up

After validation, we support integration and production-readiness.

What you get first: a practical feasibility view — fit, sample needs, validation criteria and a clear recommendation for the next step.