Operational use case
Base air defense: one operator holds the whole air picture
A base faces small drones, low and slow aircraft, and RF activity at the same time, across sensors that each show only a fragment. Defenders end up with a console per sensor, duplicate tracks, and no single picture to decide from.
Base air defense fails when the picture is fragmented. DaggerOS™ correlates radar, radio-frequency, acoustic, and electro-optical/infrared detections into one deduplicated air picture, so a single operator sees every track — classified by behavior, not by one sensor’s guess — and holds the decision. BlackEcho™ ranks the tracks and drafts a recommendation; the operator authorizes.
The problem
A fixed site is watched by radar, RF sensors, acoustic arrays, and cameras that were bought separately and each present their own screen. The same drone shows up as four hits. An operator has to reconcile them by eye while more tracks arrive. That is slow, and it is where mistakes happen.
How DaggerOS handles it
DaggerOS senses passively first, so an approaching threat can be seen before anything of ours emits. Detections of the same object from independent sensors are correlated into one track, which removes the double-counting that overwhelms single-sensor consoles. Each track carries a behavior-based classification and a confidence. No effect is applied until a human sustains the Human Gate and the decision is written to a tamper-evident record.
Domains in play
Counter-UAS anchors the air picture, with ground-based radar and EO/IR extending range and identification, acoustic sensing filling the low-and-slow gap, and electronic-warfare sensing reading the RF environment. Each is one contribution to the single picture.
Evidence
Demonstrated under live, operationally representative, third-party conditions at T-REX 26-2 (May 2026) at TRL 7–8 — a multi-sensor counter-UAS air picture fused and decided by one operator. Extension to the full ground-based-radar and acoustic layers at every site is a roadmap item, marked honestly on those domain pages.
FAQ
Does one operator really replace a console per sensor?
That is the design goal and what was shown: independent sensor feeds correlated into one deduplicated track picture so a single operator holds the whole airspace, instead of reconciling four screens by eye.
Does the system engage threats automatically?
No. DaggerOS detects, classifies, tracks, and recommends. Any effect requires a human to sustain the Human Gate, consistent with DoDD 3000.09. There is no autonomous engagement path.