Data Re-Processing Services (Other Systems)

Unlock the Full Potential of Your Existing Datasets

Already have hyperspectral datasets but need better outputs? Our standalone hyperspectral data processing service helps you extract more value from existing data with advanced workflows, tailored outputs, and reproducible results. Whether hyperspectral data is collected from our scanners or another system, we deliver the clarity and insights your team needs—saving time, reducing costs, and improving consistency across projects.

Compatible

Data processing for hyperspectral datasets from any rock scanning system

Powerful

Data processing methods built for speed and accuracy

Insightful

Outputs from advanced data processing tools

Efficient

Use of existing data and digital archives

Why Data Re-Processing?

Extract More Value from Existing Data

Not every project starts with a new scan. Many organizations already hold existing hyperspectral datasets, but the outputs are underutilized. Our service applies advanced hyperspectral data processing workflows to maximize value, ensuring that your data contributes directly to decision-making.


Use Case Examples:

Broad Compatibility

Process Data from Any Hyperspectral Sensor

Our service is designed for flexibility. We support data collected from a wide range of proximal hyperspectral systems, making it easy to improve results without changing hardware. Plus, our workflows adapt to the unique characteristics of your dataset.

Hyperspectral data processing to extract more value from existing datasets. Mineral spectroscopy, data reduction & big data management solutions.

Our World

screen logs

Mineral Spectroscopy and Advanced Analysis

Tailored Insights from Hyperspectral Data

Our processing can include advanced mineral spectroscopy methods that improve mineral identification and classification. By leveraging in-house data processing technologies, we provide outputs that go beyond basic spectral signatures, delivering compositional details with higher accuracy and reproducibility.

A key part of this accuracy comes from our Lithotype™ Method—a proven framework for delivering reliable, reproducible results across diverse deposits.

Data Reduction and Big Data Management

Scalable Solutions for Hyperspectral Projects

Hyperspectral datasets from imaging systems can be massive. We apply hyperspectral data reduction techniques to streamline storage, transfer, and interpretation, while maintaining data integrity. Combined with secure big data management practices, our infrastructure ensures that even the largest projects remain manageable and accessible.

Tailored Deliverables

Outputs Aligned with Your Project Goals

Every dataset is unique. That’s why our hyperspectral data processing service offers flexible deliverables to match your requirements. Outputs can include spectral logs and predictive logs as required. 

By applying rigorous QA/QC protocols, we ensure reliable outputs that improve consistency, reduce interpretation time, and help you re-use valuable legacy data.

Proven Expertise

Trusted Across Exploration and Industry

With decades of combined experience, our specialists in hyperspectral data processing have supported projects across mineral exploration, mining, energy, and applied research. We  ensure every dataset achieves its maximum value.

Stand-Alone Data Processing FAQ

Common Questions from Our Customers

Yes. We can process existing hyperspectral datasets from most proximal sensing  systems, even if we didn’t perform the scanning.

Our workflows are designed to clean, validate, and harmonize challenging datasets.

We apply advanced mineral spectroscopy techniques as part of our processing service.

We use hyperspectral data reduction and big data management strategies to make large-scale datasets manageable without compromising integrity.

All outputs follow strict QA/QC protocols. Our Lithotype™ Method  further ensures reproducibility and reliability.

We leverage a suite of proprietary data processing technologies developed in-house, optimized for speed, scalability, and accuracy.

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