Ready to use
Step 01 — Labeling
HyperLabel
Upload hyperspectral images and annotate them with precision using polygons or bounding boxes. Advanced multi-spectral layer support.
- Polygon Annotation
- Material Spectral Library
First release 0.1 beta
The end-to-end hyperspectral AI platform.
Annotate hyperspectral images and train models with HyperLabel and HyperIA. HyperDrones is coming soon — one platform as modules roll out.
Secure pipelineProduction-ready metrics
Accuracy
90.82%
F1
85.47%
Kappa
87.51%
The workflow
How H2M works?
Ready to use
Step 02 — Intelligence
HyperIA
Convert labeled data into ML-ready datasets and train models to detect plastics, corrosion, and complex material signatures.
- Model Architecture Select
- Spectral Fingerprint Training
Coming soon
Step 03 — Deployment
HyperDrones
Upload drone flight data and run inference on hyperspectral imagery in real-time or post-processing missions.
- Real-time Edge Deployment
- Flight Path Analytics
Applications
Real-world spectral intelligence for industrial and environmental workflows.
01 Plastic Detection
Detect and classify plastic pollution in complex environments. Our AI leverages unique spectral signatures invisible to standard RGB cameras to identify polymers even in challenging conditions.
02 Corrosion Inspection
Detect corrosion before it spreads. Hyperspectral analysis reveals early-stage chemical oxidation in metal structures, enabling preventative maintenance and significant cost savings.
Spectral analysis
Real-time feed
94%
Classification accuracy
Start building with hyperspectral AI today
From labeling to drone-based inference, H2M gives you everything you need to unlock the deep secrets of Earth science.