Two complementary solutions — Aethix Continuum Nexus (ACN) for multimodal sensor fusion and explainable entity resolution, and Aethix Sentinel Fabric (ASF) for AI governance and provenance-grade compliance — built for defence, critical infrastructure, and intelligence operations.
[ EO/IR · SIGINT · OSINT · GEOINT · RF · SAR ] → Unified Entity Resolution → Actionable Intelligence
ACN fuses electro-optical video and RF signals into a single shared representation — resolving entities with explainable confidence and abstaining when certainty is insufficient.
Edge object detection pipeline for EO/IR video streams, targeting per-event gated latency. Multi-scale feature extraction across thermal and electro-optical spectra.
Cross-modal embedding alignment for fusing heterogeneous sensor modalities into a unified 1024-dimensional latent representation space.
Entity resolution and deduplication across distributed intelligence databases using Fellegi-Sunter probabilistic matching with Dirichlet uncertainty priors.
The rigorous mathematical frameworks underpinning Aethix AI's entity resolution and uncertainty quantification engines.
Transforms pixel-space camera coordinates to real-world geospatial coordinates by applying inverse camera intrinsics K⁻¹, extrinsic rotation matrix R, and translation vector T.
Quantifies model trust via Dirichlet probability priors, preventing overconfident false alarms during sensor anomalies or data degradation events. Uncertainty mass u absorbs unresolvable belief when evidence is sparse.
Aethix AI is designed for any environment where fusing heterogeneous data sources is mission-critical. Built with the stringent demands of highly regulated, security-sensitive, and operationally complex sectors in mind — globally.
Designed for multi-modal situational awareness through EO/IR and RF telemetry fusion — enabling theatre-level entity correlation from disparate collection assets into a unified operational picture.
Designed to support GRC compliance automation and semantic audit trails for energy, telecommunications, and financial sector operators managing cyber incident obligations and regulatory reporting requirements.
Designed to perform semantic parsing of unstructured operational documents and procurement records — extracting structured intelligence with provenance-linked entity tagging and semantic lineage.
Designed for multi-sensor crop health monitoring and anomaly detection — fusing satellite SAR imagery, IoT soil sensors, and drone-based EO/IR feeds for precision agricultural intelligence.
ASF is designed from the ground up with sovereign deployability as a core principle. The architecture is designed so that every inference, data flow, and API call can be audit-logged, policy-filtered, and cryptographically anchored — targeting the compliance requirements of regulated operators across federal, enterprise, and critical infrastructure sectors globally.
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