Overview

Clarity is a cloud-based platform for turning hyperspectral (HSI) data into decisions you can explain, repeat, and improve.

Three core workflows

Use these three values to orient yourself in the platform, then follow the linked feature pages for step-by-step guidance.

Reveal clear, defensible evidence about materials, anomalies, and targets hidden inside spectral imagery.

Feature pages:

Spectral Explorer - Explore imagery, layers, labels, and spectral context
Analysis Tools - Run matched filters, endmember extraction, and spectral-library workflows
Color Composites and Band Math - Create visual and numeric views that make spectral differences easier to evaluate

Get from an open question to the next useful step faster, with guidance and explanations in context.

Feature pages:

Clarity AI - Understand where the agent fits in the platform
Example Prompts - See practical ways to ask for analysis, model guidance, and workflow help
Agent Tools - Review the platform actions Clarity AI can use

Turn validated examples into repeatable predictions that can be evaluated, improved, and applied to new imagery.

Feature pages:

Datasets - Prepare training data and reference spectra for model development
Model Training - Train models from finalized datasets
Model Types - Choose between classification, unmixing, target detection, and regression
Training Metrics - Evaluate whether a model is ready to use or needs improvement

These feature areas support the three core workflows:

📖 Tutorial - Follow a complete example from uploaded data to a trained plastics unmixing model
📧 Support - Contact our team for assistance or to create an account

Ready to get started? Let's dive into the Tutorial!