While the Sondera platform is in development, we work directly with inspection teams on analysis, modeling, and measurement design. Every engagement feeds the same goal: dependable, traceable decisions from inspection data.
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THz-TDS data analysis
Processing and interpretation of terahertz inspection data for composite materials. Send us raw time-domain scans and receive validated defect maps and a report your engineers can act on.
Preprocessing and feature extraction pipeline applied to your dataset
Defect detection and mapping with confidence estimates
A written analysis report with methodology and acceptance recommendations
Custom machine learning and physics-informed models for inspection data in any modality. We take a problem from feasibility assessment through training, validation, and a deployable model.
Feasibility study with data audit and performance targets
Trained and validated model with documented metrics
Deployment package with inference code and integration notes
Physics-based simulation, FDTD and finite element, to design and optimize inspection procedures before hardware time is spent. Know what a measurement can resolve before you make it.
Simulation study of your part, material stack, and measurement configuration
Sensitivity analysis: detectable defect sizes, depths, and orientations
Recommended measurement parameters and procedure specification
Advisory for teams building inspection capability: NDE data strategy, THz measurement campaigns, and practical AI adoption. Delivered as workshops, reviews, or ongoing support.
NDE data strategy assessment with a prioritized roadmap
Measurement campaign design and on-record review of results
Team training on signal processing and AI methods for inspection
Describe your inspection problem and the data you have. We will tell you plainly what is feasible, what it takes, and whether we are the right team for it.