Mo Valentini

Modern drone programs generate enormous telemetry, imagery, and sensor streams that overwhelm legacy infrastructure. Real-time ingest, scalable storage, and edge-aware analytics pipelines turn mission data into actionable intelligence before decisions.

Agentic AI promises autonomous execution, but agents can only act on applications built with APIs, event-driven architecture, and real-time data. Before deployment, modernize legacy systems so workflows become machine-readable programmatically.

AI models may perform brilliantly in development, but production fails when infrastructure cannot sustain low-latency inference at scale. GPU architecture, streaming pipelines, and resilient cloud orchestration determine operational performance ultimately.