Aztech City is a Service-Disabled Veteran-Owned Small Business staffed with cleared personnel — delivering ATO-Ready, AI-native mission software, international public opinion research, and cleared engineering for USSOCOM, the Department of Defense, the Department of State, and the Intelligence Community.
Four platforms for cleared environments — wargaming and exercise management, investigative case management and analysis, multi-INT fusion for swarm and counter-UAS awareness, and contested logistics/sustainment decision support.
ATO-Ready and AI-native, MONTEZUMA runs the full exercise lifecycle with commander decision capture, counter-options analysis, and after-action coverage — engineered to operate inside SCIFs, across degraded networks, and fully air-gapped.
COA portfolio, Strategy Map, predictability meter, commander validation, and per-inject PIVOT.
End-to-end traceability from objectives to injects to after-action, scored for coverage.
DDIL connectivity with SCIF off-net toggle, classification banners, and CUI markings throughout.
Provenance gates architected to align with DoDD 3000.09; swappable model endpoints, in-fence on-prem.
MSEL / inject execution, NIMS/ICS, NPG capability mapping, and five-role RBAC.
ATO-Ready, SHAMAN gives investigators a single system of record for a case — all-source intelligence, forensics, entities, and analysis fused and correlated from intake through court-ready reporting, with a tamper-evident chain of custody at every step.
Autonomous AI analyst surfacing connections, gaps, and leads; one-click triage on any phone, email, IP, domain, or crypto address across the full toolkit.
40+ open-source tools plus link analysis, pattern of life, and association-matrix fusion into a single case view.
Document, media, and cellular exploitation (MEDEX / DOCEX / CELEX) with hash verification, EXIF/metadata, hex viewer, and write-block-active evidence handling.
.onion, paste-bin, and dark-forum monitoring; live IOC / STIX-TAXII feeds; and sanctions, AML, and crypto-trace financial investigation.
Managed cover identities and OPSEC/attribution-resistance tooling, plus LE-only chain-of-custody, warrant, and subpoena tracking.
ATO-Ready, OCELOT fuses UAVs, USVs, UUVs, and counter-UAS detections through an ontology-backed object model and a connector-registry architecture — the same pattern that ingests live ADS-B air tracks now extends to maritime AIS, RF, acoustic, and EO/IR detection sources, each independently provider-gated so nothing is ever silently faked. A STANAG-style grading engine scores every detection's reliability and credibility automatically, analyst-overridable, and a provenance-gated demo mode lets the full multi-sensor picture be shown or hidden on demand without ever touching real data.
Typed vehicles, sensors, detections, and geofences with enforced provenance — nothing enters the system without an explicit, honest source.
One registry pattern spans five sources today — OpenSky ADS-B live, plus Maritime AIS, RF, acoustic, and EO/IR detection, each registered and provider-gated pending contract, never faked in the interim.
RF, acoustic, and EO/IR detections resolve through the same verified two-sensor triangulation geometry; rangefinder-equipped EO/IR sensors additionally deliver a direct position fix.
Reliability (A–F) and credibility (1–6) auto-derived on every detection from sensor method and corroboration, analyst-overridable, and never applied to demonstration data.
Real MIL-STD-2525 type mapping for file-based Cursor-on-Target export and import — built to speak the ecosystem's actual format, not a proprietary island.
Genuine online/degraded/off-net posture detection, with auth-gated multi-operator sync and full deletion propagation across every connected client.
Toggleable, scenario-driven synthetic data for demonstrations — visually marked throughout, excluded from every real export, and shown or hidden independent of live detections.
Internally assessed at TRL 5. No fabricated sensor data, no simulated classifier — every capability shown here is tested, not demoed.
ORCA gives sustainment and logistics planners a real-time picture of contested chokepoints and blockades — live transit data, open-source reporting, and capacity/risk modeling fused into a single severity-ranked board, built directly to the FY26 NDAA's Contested Logistics Posture Strategy requirement.
Severity-ranked live board fusing IMF PortWatch transit data with GDELT open-source reporting for every tracked chokepoint.
Claimed-vs-validated capacity variance and continuous movement exposure scoring, generalized from MONTEZUMA's Readiness Sim and interdiction-risk composition.
Cited chokepoint statuses (Strait of Hormuz, Bab-el-Mandeb/Suez, Panama Canal), 26 major ports ranked by throughput, and live OpenSeaMap seamark data — nothing fabricated or seeded.
OCONUS prepositioned-stock site layer (APS-5 Qatar/Kuwait, Diego Garcia, Guam, Norway MCPP-N) mapped directly to 10 U.S.C. §2229b(c)'s six required Contested Logistics Posture Strategy elements.
AZTECH-SENTINEL-CORE grading, critical-severity Slack alerts, and a DDIL-aware service worker for offline resilience.
Internally assessed at TRL 4. Live PortWatch and GDELT feeds, no demo/synthetic scenario data — every capability shown here is tested, not demoed.
Nationally representative, probability-based public opinion research delivered worldwide — face-to-face, telephone, and online — via Aztech's partnership with D3 Systems, Inc., a social science research firm operating in 120+ countries since 1985.
These are five of Aztech's direct federal prime awards, all with the Department of State's Office of Opinion Research, part of several public opinion and survey research pursuits Aztech currently has active across multiple global regions.
Probability-proportionate-to-size cluster sampling, random-route household selection, and single-frame mobile RDD — administered under AAPOR Transparency Initiative standards.
Native translation with independent review and blind back-translation, validated through a 25+ respondent pre-test before fieldwork begins.
Automated interviewer and case-level fraud detection, GPS route verification, and AI-assisted audio review of recorded interviews.
Aztech is an AI and data company — multi-INT fusion, model integration, and secure data pipelines, built by cleared veteran engineers.
Secure software development, CI/CD pipelines, DevSecOps best practices, automated testing, and ATO-path engineering.
Cloud automation, infrastructure-as-code, data pipelines and analytics enablement, and AI / ML integration.
Model integration, ontology-backed fusion architectures, and analyst-facing AI tooling across the Aztech platform suite.
Staffed with cleared personnel and built for SCIF and DDIL environments from day one.
Provenance gates architected to align with DoDD 3000.09, swappable model endpoints, and in-fence / air-gap-capable deployment.
Founded and led by an SOF / SIGINT veteran. 40+ years combined operational and technical experience across USSOCOM, DoD, and the IC.
Service-Disabled Veteran-Owned, Minority-Owned, Small Disadvantaged Business; SBA 8(a) pending — sole-source and set-aside eligible.
Sole-source eligible under SBA thresholds; set-aside competition above. An ideal cleared-lane teaming partner for primes pursuing small-business and 8(a) goals.