Aerospace, Defense, & Space
Trusted, efficient, and secure solutions for real-time data analysis in mission-critical environments.
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Trusted, efficient, and secure solutions for real-time data analysis in mission-critical environments.
Keeping pace with the volume and complexity of today’s data, analytics, and reporting requirements, while ensuring absolute security is harder than ever. Solutions are often:
Current systems take weeks to analyze and report mission data, delaying decisions and missing critical insights.
Inefficient deployment of resources for data discovery, redundant queries, and data cleansing are common.
Analytics often fail to provide a continuous and comprehensive view across the mission lifecycle.
Existing systems burden developers, missing end-user needs and slowing down the analysis cycle.
Deeper insight. Intelligent hindsight. Greater foresight.
Why Aerospace, Defense & Space customers choose KX:
Integrate with Python, SQL, ML, and AI frameworks to develop and deploy mission-critical apps in days and weeks.
Our open system architecture and API ensure comprehensive data access, along with data sovereignty
Secure by design, for air-gapped environments, KX has been a trusted system for mission-critical applications for over 20 years.
KX’s tiny footprint supports edge use cases, including deployment on operational assets.
KX has the fastest time series database globally.*
Search unstructured datasets alongside structured data in the same system.
* Independently benchmarked by STAC Research
DATA INTEGRATION AND FUSION
Integrate and analyze data from multiple intelligence sources, including radar data, intelligence mission data, ONSIT, and electronic order of battle activity. This creates a comprehensive data landscape, providing a more complete understanding of subversive activities and networks.
REAL-TIME INTELLIGENCE ANALYSIS
Evaluate data in real time for timely threat identification and response. Monitor various data streams continuously, flagging potential threats or suspicious activities as they occur.
PATTERN RECOGNITION AND ANOMALY DETECTION
Analyze historical and current data to identify patterns, trends, and anomalies in a subject’s behavior. This is useful for predicting potential subversive activities, identifying hotspots, and understanding the modus operandi of various subversive elements.
EFFICIENT SIGNAL DATA PROCESSING
Process and analyze large volumes of signal data (such as communications intercepts, electronic signals, and other forms of electronic data) rapidly, which is crucial for SIGINT operations that typically involve vast datasets.
Powering data-driven decisions for Thales-led digital factory initiative as part of COREF Consortium
Developed by Thales, COREF provides a low-risk, collaborative environment to investigate and prove digital technology use cases. This accelerates technology deployment in complex, low volume production scenarios. At KX, we enable data-driven insights through quality monitoring, remote diagnostics, simulation, and cost modeling using kdb. COREF allows users to test industrial software solutions in a sandbox environment and connect to live industrial assets, enhancing data management and supporting automated decision making.