AI-Ready RF Data Infrastructure
Military AI work often stalls before modeling starts because the source data is hard to find, label, and trust. SigDrive helps normalize RF metadata, annotate signals, and export labeled training data.
ML Pipeline Capabilities
SigDrive focuses on the data preparation work that happens before model training.
Canonical Data Schema
Ingested metadata is normalized to a canonical JSONB schema so ML workflows start from consistent inputs.
Annotation & Labeling
Use region annotations as labels for signal types, anomalies, and classification workflows.
Training Data Export
Export labeled segments for signal classifiers, anomaly detectors, and cognitive EW research workflows.
Pipeline Integration
Access metadata and annotations through APIs so SigDrive can fit into existing ML workflows and pipelines.
Data Integrity & Provenance
Audit logs and SHA-256 checksums help preserve provenance from ingestion through downstream model work.
Feature Store Ready
SigDrive can act as a controlled source of curated, labeled, and traceable RF data for defense AI initiatives.
AI/ML Use Cases
Use RF data that is labeled, traceable, and ready for downstream ML work.
Cognitive Electronic Warfare
Build curated signal libraries for cognitive EW research and model development.
Signal Classification
Build classifiers that identify modulation types, protocols, and emitter signatures. Export labeled examples directly from annotated recordings.
Anomaly Detection
Train models to detect interference, jamming, or unusual spectrum activity. Historical data provides the baseline for anomaly identification.
Project Linchpin Alignment
Support Army AI initiatives by keeping RF data labeled, traceable, and ready for review.
Prepare RF data for ML work
See how SigDrive can serve as the data foundation for your ML pipelines.