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These are the domains where spiking networks and neuromorphic silicon stop being research and start being engineering. The common thread across all of them is not the application — it is the constraint. Real-time loops you cannot defer. Power budgets set by battery chemistry, not cloud capacity. Hardware that cannot be patched over the air. Auditors who need a file, not a notebook. THRINDEX is built for this class of problem. Not as a research prototype. As infrastructure.

Robotics

Sub-millisecond sensor-to-actuator loops. Event-driven activation — quiet when the arm is still.

Drones & UAVs

Energy scales with information rate. Onboard inference without GPU-class power.

Aerospace & Space

Finite power for years. No cloud. No field service. Verifiable before launch.

Defense

Reproducible builds, offline verification, evidence packages auditors can review.