SERPENT
PSYOP & Influence Assessment
Longitudinal survey-baseline measurement of whether an influence campaign actually changed a population — assessment, not collection.
Longitudinal survey-baseline measurement of whether an influence campaign actually changed a population — assessment, not collection.
SERPENT measures whether an influence campaign actually changed a population — against its own pre-campaign baseline — rather than competing on collection. Baselines are drawn from Aztech's own nationally representative public opinion survey work spanning multiple regions, with media and campaign-volume data from GDELT structurally barred from the attribution engine so publication is never mistaken for exposure.
Baselines drawn from Aztech's own nationally representative public opinion survey work — spanning multiple regions — measuring real pre/post-campaign population shift.
Positioned deliberately against collection-focused incumbents — SERPENT's lane is measuring whether a campaign changed a population, not out-collecting the field.
GDELT DOC 2.0 published-volume data feeds timing/sequencing signal only — structurally barred from the attribution engine, because publication is not exposure.
Built to the boilerplate common across federal public opinion research contracts — random seed disclosure, AAPOR RR3 by strata, open-end coding, Roper Center archiving — a repeatable spec, not one customer's preferences.
AZTECH-SENTINEL-CORE grading across an external reference catalogue of survey, census, exposure, adversary, and ground-truth sources feeding sampling design.
Internally assessed at TRL 4–5. TRL 5 is earned when a real public opinion survey wave loads and grades correctly.
A browser-based tabulation layer for analysts working directly with a delivered SPSS system file — weighted crosstabs with column significance testing, AAPOR RR1/RR3 by strata, open-end coding, and post-stratification weight construction, with a plain-English audit log standing in for syntax. Rides on SERPENT as an additional capability, not a redefinition of its assessment core — not yet validated against a live survey dataset.
ATO-Ready, AI-native wargaming and exercise management with commander decision capture and after-action coverage.
ATO-READY
ATO-Ready system of record for a case — all-source intelligence, forensics, and analysis fused from intake to court-ready report.
ATO-READY
Multi-INT fusion for swarm and counter-UxS awareness — ADS-B, AIS, RF, acoustic, and EO/IR detections, STANAG-style graded.
TRL 5