Use Cases

Multiple Industries. One Platform.
Explore how our platform delivers measurable value across industrial R&D. Discover real-world use cases and see how Rombo AI helps organizations transform complex analytical data into faster, more reliable decisions.
Vector

Use case — Oil & Gas

The Refinery Case: Crude Oil Analysis

Crude oil composition varies continuously, even within the same field, making reliable characterization essential for refinery optimization. Rombo AI transforms NMR data into a consistent material fingerprint, enabling faster crude evaluation and more confident blending decisions.

Crude oil barrel

The Challenge

Refineries routinely process crude oils from multiple fields and suppliers to optimize profitability. Each crude oil has different physical and chemical properties that directly influence refining performance, product yields, and operational efficiency. However, the properties of crude streams are not static. Even crude coming from the same oilfield can vary over time due to seasonal factors, extraction conditions, and reservoir changes.

These variations affect key parameters such as density, composition, and the P-N-A-R-A balance. Without accurate and timely characterization, refineries face higher operational uncertainty and reduced process optimization.

Slow and expensive crude characterization in traditional labs
Specialized personnel and expensive instruments are required
Existing reports provide isolated snapshots of crude properties
Raising number of analyses of new blends and products
Existing methods have limited report precision & amplitude

Our Approach

Our platform uses patented AI models trained on real refinery data to interpret low-field NMR measurements and generate a continuous material fingerprint of crude oils to support faster operational decisions.

Material Fingerprinting through NMR
The platform uses low-field NMR combined with AI to generate a consistent material fingerprint of crude oils. Instead of relying solely on periodic laboratory assays, refineries can obtain rapid measurements that capture the structural characteristics of the material and monitor how crude properties evolve over time and across blends.
15-Minute Property Estimation Time
The platform leverages low-field NMR spectra and deep learning algorithms to estimate over 40 crude oil properties simultaneously, including API gravity, sulfur content, TAN, viscosity, and distillation yields across multiple boiling ranges, in approximately 15 minutes — compared to the current industry standard of several weeks to months.
AI Models Trained on Real Refinery Data
We build models based on the Client's historical data, fully compliant with their internal IP, to produce results with ISO/ASTM lab-grade accuracy. This enables rapid and reliable evaluation of crude properties without waiting for traditional laboratory assays.

How Oil & Gas Companies Benefit

Our customers in the oil and gas sector use Rombo AI to gain faster and more reliable insight into crude oil composition, improving operational decisions across refining and blending.

  • Support refining strategy through faster fingerprinting and comparison across blends, batches, and suppliers
  • Classification and similarity search with traceable features
  • Link spectral patterns to properties and process variability
  • Predicting processing challenges through early detection of off-spec materials / compositional drift
  • Lower laboratory workload

Facing similar challenges?

Reach out to us today to discover how Rombo AI can help you gain faster, lab-grade insights into your crude oils and optimize your operations.

What you can expect:

A pilot-defined set of indicators and validation metrics, tested on your own samples
A scalable workflow to extend coverage to new oils, operating conditions, and sites
Consistent, comparable results across all your feedstocks
Book a free consultation
Power transformer and mineral oil

Use case — Energy

The Power Transformer Case: Insulating Mineral Oil Analysis

Mineral oil in transformers is a highly refined petroleum fluid that provides electrical insulation, cooling, and moisture protection. Accurate monitoring of this oil is critical to prevent catastrophic outages, extend transformer lifespan, and reduce downtime and operational costs.

The Challenge

Transformers are exposed to electrical and thermal stresses that can degrade insulation. Faults such as arcing, corona, or overheating generate specific dissolved gases (DGA) that reveal the health of the transformer. Traditional laboratory testing is precise but slow, making real-time monitoring difficult.

Our Approach

Our platform combines low-field NMR spectroscopy with over 30 machine learning models to generate detailed, continuous reports on mineral oil properties and dissolved gases — replacing slow laboratory cycles with automated, real-time monitoring.

Dissolved Gas Analysis via NMR + AI
The platform detects and quantifies dissolved gases (DGA) directly from NMR measurements, identifying fault signatures such as arcing, corona, and thermal degradation without the delays of traditional chromatographic methods.
Continuous Oil Health Monitoring
Instead of periodic laboratory snapshots, the platform enables continuous tracking of oil degradation indicators — such as acidity, moisture, and oxidation stability — giving maintenance teams early warning signals before faults escalate.
30+ ML Models for Property Estimation
Over 30 machine learning models estimate chemical and physical properties simultaneously with lab-grade accuracy, enabling predictive maintenance strategies and reducing reliance on external laboratory services.

How Energy Companies Benefit

Rombo AI's Material Intelligence Platform generates detailed reports on mineral oil properties and dissolved gases, combining lab-grade accuracy with automation. Over 30 machine learning models estimate chemical and physical properties, enabling early detection of critical faults.

Prevent Catastrophic Outages
Detect early warning signals before they escalate into failures.
Optimize Maintenance
Use real-time trends and predictive insights to schedule interventions.
Extend Transformer Lifespan
Continuous monitoring enables proactive care and longer asset life.
Reduce Downtime & Costs
Automated, actionable data replaces slow manual lab cycles.

Facing similar challenges?

Reach out to us today to discover how Rombo AI can help you gain faster, lab-grade insights into your transformer mineral oils and optimize your operations.

What you can expect:

A pilot-defined set of indicators and validation metrics, tested on your own samples
A scalable workflow to extend coverage to your type of oils, operating conditions, and sites
Consistent, comparable results across all your feedstocks
Book a free consultation