Products
Replace slow laboratory snapshots with continuous, explainable material intelligence for industrial operations — powered by the first foundation model for quantitative NMR, pre-trained on millions of spectra
AI-Powered Solution to Analyze Complex Materials
Industries working with complex materials, such as Oil & Gas, Petrochemical, Chemical, Manufacturing, and Energy, material analysis is the most important aspect to understand how the product will perform. However, accurate material characterization remains challenging:
- Lab analysis takes weeks/months to complete
- Specialized personnel & expensive instruments are required
- Repetitive and prone to human errors
- Reports are used as isolated snapshots
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 Material Intelligence in your operations.
The Material Intelligence Platform
Material Intelligence Platform is a platform designed to bring benchtop NMR and domain-specific AI into industrial workflows—with traceability and reproducibility as first-class requirements.
Build a consistent, explainable material state baseline. Detect drifts, chemical regime changes, and early signs of irreversibility.
One Platform, 2 Modules
The modules below are part of our unique Platform — designed to be validated on your real experimental data and to be consistent over time.
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)
How we work
Run a fast pilot. Prove value on your data.
We start with a structured pilot: clear objectives, agreed success metrics, and validation on your experimental data. You get a working solution and a roadmap to scale into operations.
