Rombo AI Platform
From benchtop NMR to validated quality data
Rombo AI Platform combines patented NMR AI models with in-house spectroscopy expertise to turn a single benchtop scan into multiple physico-chemical properties — traceable, comparable across instruments and sites, and validated against your reference methods.
Rombo AI Platform for Industrial NMR Analysis
In oil & gas, petrochemicals, chemicals and energy, material quality determines how a product will perform. Yet accurate characterization is still slow and hard to scale:
- A full characterization often requires several reference methods, instruments and specialists
- Results can take days, while operational decisions can't wait
- Manual, repetitive workflows introduce variability between analysts and sites
- Reports remain isolated snapshots instead of a comparable history
In industrial contexts, while process indicators may look stable to QC operators, the chemical change and material shift may already be happening. The problem is not the measurement — it's the lack of early signals, with critical deviations leading to significant production loss.
Industrial Value
What you gain from deploying Rombo AI Platform in your operations.
Rombo AI Platform
Rombo AI Platform brings NMR acquisition and domain-specific AI into industrial workflows, with traceability, reproducibility, local validation, and expert review as first-class requirements.
Build a consistent, explainable material state baseline. Detect drifts, chemical regime changes, and early signs of irreversibility.
One platform, two modules
NMR AI Analyzer and AutoML Framework are modules of Rombo AI Platform. Each production workflow is validated on relevant instruments, samples, and operating conditions.
Module 1 — NMR AI Analyzer
Module 1
NMR AI Analyzer
Discover the unique AI + Spectroscopy power. NMR AI Analyzer is designed for industrial labs where traceability and comparability matter. The software controls the NMR data acquisition, AI model integration, report generation, and integration with enterprise systems.
Key Features:
Module 2 — AutoML Framework
Module 2
AutoML Framework
Our AI expertise, at your service. As an optional module, we enable R&D teams to build their own internal ML modules and custom pipelines, while retaining 100% Intellectual Property and utilizing their own data. It supports model selection, validation, and comparison — grounded in experimental datasets.
- Feature selection and pipeline comparison
- Training and validation with agreed metrics
- Performance comparison across approaches & models
- Support for adapting to new datasets (data quality + validation criteria)
Technology
Built on an NMR foundation model
Rombo AI Platform is powered by a spectral foundation model trained to learn reusable representations from NMR data. This shared foundation supports faster adaptation across analytical tasks while each production use remains subject to validation on the relevant instruments, samples, and operating conditions.
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.