Kinetica is the real time database for generative retrieval and analytics
Kinetica is a real-time analytical database purpose-built for operational environments where speed, accuracy, and multi-domain insight are mission-critical. Its GPU-accelerated architecture enables commanders, operators, and AI agents to perform complex, multi-modal analytics with minimal latency—even as data volumes surge across sensors, platforms, and domains. In a single query, users can seamlessly fuse geospatial, time-series, graph, vector search, and OLAP analytics, enabling rich situational awareness without shuttling data between systems. This unified, multi-modal execution model is a major technical differentiator for defense organizations seeking to collapse the kill chain, increase decision advantage, and operate effectively across JADC2 environments.
Kinetica’s lockless, parallel ingestion architecture ensures that data from ISR sensors, mission systems, tactical datalinks, and logistics feeds is immediately queryable—no batch windows, no stale data. Its vectorized processing model (SIMD) delivers high performance at scale for complex correlation workloads such as track fusion, threat detection, course-of-action evaluation, and AI-assisted decision support.
To support analysts, developers, and operators, Kinetica provides several built-in interfaces for managing and exploiting data. Kinetica Workbench offers streamlined ingestion tools and collaborative SQL workbooks for building analytic applications. Kinetica Reveal enables real-time command-level dashboards, geospatial mission views, and graph-based dependency insights—all backed by the same real-time data fabric.
Air Domain Use Case: Real-Time Track Correlation & Threat Response
In the air domain, Kinetica powers real-time track correlation and threat analysis by fusing radar, ADS-B, ELINT, EO/IR, and mission system telemetry into a single operational picture. For example, in a contested airspace scenario, Kinetica can continuously ingest high-velocity radar tracks, correlate them with flight plans and historical behavior patterns, apply vector similarity search to identify anomalous flight signatures, and run geospatial/graph analytics to infer likely intent or threat level—all in milliseconds. Operators receive an immediately updated air picture, enabling faster identification of non-cooperative aircraft, early warning on trajectory deviations, and rapid cueing of sensors or intercept assets. This capability is directly aligned with modern C2 requirements across programs like ABMS, Project Overmatch, and joint air operations centers.
