A fix is a dot.
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.
Tell us your collection profile and the assessments you need from it.
This is for you if
If none of these are true we are probably not the right call yet, and we will say so.
- Intercept volume has outgrown what analysts can review by hand
- Individual fixes are held, but movement is not being inferred from them
- A conclusion has to be defensible, not just plausible
- The data cannot leave sovereign infrastructure
What an intelligence cell is judged on.
The share of collected intercepts that actually produce an assessment, rather than sitting unreviewed because there were never enough analyst hours to reach them.
Whether an inference can be explained and reconstructed months later — which is what separates intelligence from a plausible guess.
The gap between a fix arriving and someone understanding what it means, which is the interval in which the assessment is still actionable.
How the analysis works
Ask the harder questions.
What an intelligence cell probes once the screenshots are over.
Intercepts do not arrive on a schedule.
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.
- Handles gaps, bursts and revisits
- Per-fix positional uncertainty carried through
- Correlation across passes, not just within one
- National-scale ingest volumes
- No requirement for a continuous track
- Degrades visibly, not silently
What happened in the gap.
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.
- Trajectory reconstruction across gaps
- Confidence shown per segment
- Inferred legs visually distinct from observed
- Speed and heading plausibility checked
- Alternative hypotheses retained
- Revised as later fixes arrive
Objects that keep travelling together.
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.
- Co-movement detection over time
- Group formation and dissolution flagged
- Association strength scored, not binary
- Evidence for each grouping inspectable
- Pattern-of-life over long baselines
- Analyst can reject and the system learns the correction
An assessment someone can reconstruct.
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.
- Evidence stored with the conclusion
- Every inference traceable to its fixes
- Analyst reasoning captured alongside
- Versioned as the picture changes
- Exportable into existing reporting
- Air-gapped retention under your policy
Intercepts do not arrive on a schedule.
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.
- Handles gaps, bursts and revisits
- Per-fix positional uncertainty carried through
- Correlation across passes, not just within one
- National-scale ingest volumes
- No requirement for a continuous track
- Degrades visibly, not silently
What Jatayu does
Irregular, sparse fixes ingested at national scale and correlated into coherent objects.
Movement reconstructed between fixes, including where sampling is uneven or interrupted.
Objects moving in concert identified as a group, with the behaviour that links them made explicit.
Predicted positions with the uncertainty attached, rather than a single confident point.
The evidence and inference chain retained alongside the conclusion, RTI- and CAG-ready.
Runs inside sovereign infrastructure with no external calls and no telemetry.
How it is deployed.
On national-security infrastructure, with nothing leaving the network.
Runs inside the perimeter on hardware you procure, with no outbound connectivity and no licence phone-home.
Sized for the volume a national collection programme actually produces, not a demonstration dataset.
Assessments export in the formats your existing reporting chain already consumes, evidence attached.
Built and maintained by Idea Infotech — no foreign licensing trail and no escrow exposure in the stack.
Let's talk about your collection picture.
What you receive, how irregularly it arrives, and the assessments you have to produce from it. Describing that on a call is enough for us to tell you what inference is actually possible — nothing has to leave your network.
Jatayu — common questions
Every conclusion retains the fixes it rests on, the correlation that produced the track and the reasoning applied. The requirement in this environment is that an assessment can be reconstructed and questioned months later — which means the working has to be stored, not just the answer.
That is the normal case rather than the exception. Fixes arrive unevenly and with gaps, so trajectory inference is built around uncertainty rather than assuming a regular sample — and forward projections carry that uncertainty explicitly instead of presenting a single confident point.
Yes. Jatayu is built for sovereign national-security infrastructure, operating with no external calls and no telemetry, and its audit trails are constructed to be RTI- and CAG-ready.
