AirStack

Processes and evaluates highly complex radio frequency data directly on tactical edge hardware for immediate signal intelligence.

Compresses outbound data up to 10 million times by sharing only finalized classification outputs rather than raw IQ data streams.

Manages, reconfigures, and updates entire networks of deployed sensors simultaneously from a centralized management station.

Coordinates an FPGA toolkit that routes pre-conditioned data streams straight to onboard processing engines.

Mandates cryptographic authentication on all external API requests to support strict operational security parameters.

Supports modern containerized applications and automated developer CI/CD pipelines to streamline deployment updates.

Uploads new artificial intelligence models and modifies individual signal channels over the air without localized hardware access.

Integrates native acceleration engines like TensorRT and CUDA to maintain low latency during rigorous deep learning tasks.

Handles multiple parallel channels of raw and processed signal data simultaneously for expanded situational awareness.

Integrates natively with common developer toolkits like GNU Radio to enable direct Python and C++ customization.