Signal found in the volume
The share of collected intercepts that actually produce an assessment, rather than sitting unreviewed because there were never enough analyst hours to reach them.
Jatayu turns irregular satellite intercepts into movement — trajectories, groups acting together, and where they are likely heading next.
With the reasoning kept beside the conclusion, so an assessment survives being questioned.
Trajectories, groups acting together, and where they are likely heading next — with the reasoning kept beside the conclusion.
What an intelligence cell probes once the screenshots are over.
Real collection is uneven — bursts, then nothing for hours, with position error that varies by pass. Jatayu is built for that shape of data rather than for a clean track, correlating irregular fixes into coherent objects instead of assuming continuity.
The analytic value is in the interval nobody observed. Trajectories are reconstructed between fixes with the confidence of each segment made explicit, so an analyst can tell an inferred leg from an observed one at a glance.
Individually unremarkable tracks become significant when they co-occur. Association is computed across time and space, surfacing groups that move as a unit — with the evidence for the grouping shown, not just the conclusion.
In this sector an inference nobody can retrace cannot be acted on, however plausible it looks. Evidence, inference and conclusion are stored together, so an assessment written today can be defended months later by someone who was not there.
Real collection is uneven — bursts, then nothing for hours, with position error that varies by pass. Jatayu is built for that shape of data rather than for a clean track, correlating irregular fixes into coherent objects instead of assuming continuity.
If none of these are true we are probably not the right call yet, and we will say so. What you receive, how irregularly it arrives, and the assessments you have to produce from it is enough — nothing has to leave your network.
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