KX

What KX does

KX powers time-aware, data-driven decisions for fast-moving organizations, enabling them to realize the full potential of their AI investments and outpace competitors. The technology addresses data challenges around completeness, timeliness, and efficiency, allowing organizations to understand change over time and generate faster, more accurate insights at any scale and with cost efficiency. KX is the data intelligence platform built for capital markets, ensuring every signal, model output, and agent action is calculable, not probabilistic. It provides a trusted data foundation, fast path to analytics, AI you can trust, and built-in governance. KX offers the only AI-ready, temporal market data service for capital markets, helping quant and AI teams reduce time spent on data cleaning and alignment. The kdb+ engine, independently benchmarked as the world's fastest vector database and time-series analytics engine, is at the core of KX's offerings, processing and analyzing time series and relational data at unmatched speed and scale.

Products

• KDB-XUnifies time-series, vector, and AI workloads in a single high-performance platform built on the trusted kdb+ core. It supports Python, SQL, and q from a single runtime, enables vector search, streaming data, and AI, and provides a modular, developer-first design. It is backwards compatible with kdb+ and offers a Community Edition for free commercial use.
• kdb InsightsA scalable time-series platform for real-time analytics, built on kdb+. It features high-speed data ingestion and processing, seamless streaming and historical data analysis, and built-in time-series and relational database capabilities. Available in Enterprise (out-of-the-box) and SDK (customizable) versions.
• KX SensorsTransforms large volumes of sensor data into actionable insights for IoT and OEM industries. It offers ultra-fast processing for high-velocity sensor data, real-time and historical analysis in one platform, a scalable architecture for mission-critical environments, optimized storage with advanced compression, and seamless integration with edge and cloud systems.
• kdb+A high-performance analytical database for real-time and historical data, independently benchmarked as the world’s fastest in-memory, columnar analytics database. It enables rapid analysis of vast datasets, minimizes latency with an in-memory compute engine, and offers extreme scalability. It uses the q language for building powerful data analytics solutions.
• KDB.AIUnlocks structured and unstructured data with temporal and semantic search at scale. It provides fast, scalable vector search and in-memory AI-driven insights for building GenAI applications with advanced search, recommendation, and personalization capabilities.
• KX Delta PlatformPowers real-time decision-making with an ultra-fast, scalable data platform. It features high-performance event processing, real-time analytics at scale, handles streaming and historical data in one platform, supports low-latency decision-making in mission-critical environments, and offers advanced compression for cost-efficient data storage.
• DashboardsInteractive visualizations for data-driven decision-making, offered as an add-on.
• KX AcceleratorsTurnkey solutions tailored to accelerate analytics, offered as an add-on.
• SurveillanceA monitoring solution for security and operational insights, offered as an add-on.
• KX FeedhandlersSeamless market data ingestion at scale, offered as an add-on.
• PyKXA Python interface for kdb+, enabling efficient data analysis and integration with other Python libraries like Pandas, Numpy, and PyArrow. It is open source and allows development with Python and kdb+ in the same workflow.
• OneTick Market DataDelivers curated, normalized tick and reference data across global equities, futures, and options from over 200 global exchanges. It provides historical coverage, T+1 updates, and validated, adjusted, and governed datasets for modeling, analytics, and decision-making. Available via cloud, API, or file delivery.
• OneTick CloudA managed service of normalized and cleansed exchange data and analytics to support backtesting, algo development, transaction cost analysis, technical studies, and charting applications. It is a securely-hosted and managed data service providing on-demand analytics and reducing total cost of ownership.
• KDB-X GPU AccelerationExtends the KDB-X foundation by offloading compute-intensive workloads to NVIDIA GPUs, enabling faster processing of large datasets, shorter batch windows, and more iterative analytics and model development.

Key capabilities

• Time-series analytics
• Vector database
• Streaming analytics
• Big data analytics
• Generative AI capabilities
• High-performance analytical database (kdb+)
• Unified platform for structured, unstructured, and temporal data
• Support for Python, SQL, and q languages
• Vector search
• Real-time and historical data analysis
• Scalable architecture
• Optimized storage with advanced compression
• In-memory compute engine
• Multi-petabyte scalability
• Cloud, hybrid, on edge & on premises deployment
• Machine learning toolkit
• Embedded machine learning & MLOps
• Multi-node data replication & recovery
• Kubernetes support
• Graphical UI
• Autoscaling
• Authentication & IAM
• Native Parquet support
• Built-in AI libraries
• GPU acceleration
• Agentic & MCP (Message Control Program) for AI interaction
• Developer tooling for debugging and profiling
• Real-time data capture
• Data compression
• Fastest query speed
• Open ecosystem with lakehouse compatibility
• Dual Mode analytics
• MCP-powered natural language access

Use cases

• Capital markets AI problem solving
• Curated market data provision
• Backtesting
• TCA (Transaction Cost Analysis)
• Algo development
• Surveillance and audit
• Research, execution, and oversight in trading
• Building and deploying modern analytics and AI workflows
• Transforming sensor data into actionable insights for IoT and OEM
• Real-time and historical data analysis for mission-critical applications
• Building GenAI applications with advanced search, recommendation, and personalization
• Real-time decision-making
• Quantitative research and financial modeling
• Accelerating AI and ML workloads
• Situational awareness and adaptability in complex environments (Aerospace, Defense, Space, Security)
• Real-time asset monitoring (Aerospace, Defense, Space, Security)
• Multi-source event correlation (Aerospace, Defense, Space, Security)
• Research science analytics (Aerospace, Defense, Space, Security)
• Trading strategy optimization
• Proactive risk management
• Pre-trade analytics
• Post-trade analytics
• Real-time visibility in financial services
• Pattern and trend analytics for market activity and anomaly detection
• Expanding coverage and accelerating insights for analysts, quants, and researchers
• Automating peer comparisons, trend analysis, and event tracking
• Real-time fleet intelligence (Automotive)
• Predictive maintenance (Automotive)
• Unified IoT data integration (Automotive)
• Route optimization (Automotive)
• Enhanced safety analytics (Automotive)
• Proactive fault detection and optimized uptime (Automotive)
• Digital twins for simulation and issue prediction (Automotive)
• Patient monitoring and anomaly detection (Healthcare)
• Clinical trial optimization (Life Sciences)
• Medical imaging analysis (Healthcare)
• Genomic data integration and analysis (Life Sciences)
• Developing time-series databases and streaming applications with Python
• Querying data and building APIs in Python, SQL, and kdb+
• Data analysis, visualization, and interactive dashboard creation
• Managing data and running time series analytics in cloud environments (Snowflake, Databricks)
• Market replay and reconstruction
• Regulatory reporting and compliance

AI approach

KX provides a data intelligence platform, primarily built on its kdb+ engine, which is a high-performance time-series and vector database. The platform is designed to handle large volumes of real-time and historical data, making it suitable for AI and ML workloads, particularly in capital markets and other data-intensive industries. KX emphasizes providing a "Trusted Data Foundation" and "AI You Can Trust" by ensuring data quality, completeness, and calculability, rather than probabilistic outputs. They offer built-in AI libraries within KDB-X, support vector search, and enable the development of GenAI applications. Their collaboration with NVIDIA focuses on accelerating AI workloads using GPUs and providing blueprints for AI in capital markets. KX's approach is to provide the underlying data infrastructure and tools that enable customers to build and deploy their own AI models and applications, ensuring the AI models reason over accurate and complete data.

Tech named: kdb+, KDB-X, KDB.AI, q language, Python, SQL, NVIDIA GPUs, MLOps, Vector Database, Time-Series Analytics, Generative AI, Parquet, MCP Server, AI Libraries, Pandas, Numpy, PyArrow, Plotly, Matplotlib, Seaborn

Industries served

• Capital Markets
• Investment Banking
• Hedge Funds
• Aerospace and Defense
• High-tech Manufacturing
• Healthcare and Life Sciences
• Automotive
• Fleet Telematics
• IoT
• OEM
• Financial Services
• Energy
• Telecommunications
• Smart City Solutions

What it says sets it apart

• 30+ years built and proven in capital markets
• Processes 1T+ records per day for a single client
• 60% of global GDP runs on KX
• Trusted by Top 40 investment banks & hedge funds
• AI-ready, temporal market data service for capital markets
• Reduces "Data Tax" by providing curated, AI-ready market data
• kdb+ independently benchmarked as the world’s fastest vector database and time-series analytics engine
• Microsecond queries on billions of rows
• Unified platform for quant data, trading data, and compliance data
• One lineage from raw tick to regulatory submission for auditable AI decisions
• Outperformed competitors using 1.5% of available CPU threads and 8% of system memory (KDB-X benchmarks)
• 34x faster for average query speed and 1,100x faster for peak compared to competitors
• 91% of benchmark scenarios won
• 40-60% TCO reduction per workload cluster
• Secure by design, proven for air-gapped environments
• Supports edge use cases and deployment on operational assets
• Advanced AI search for structured and unstructured datasets in the same system
• Partnership with NVIDIA for GPU acceleration and model development ecosystem
• Agentic AI use cases for unlocking new revenue opportunities and improving customer satisfaction
• Open source Python interface (PyKX) for kdb+
• OneTick Market Data with historical coverage back to 1970 and T+1 updates
• OneTick Cloud as a fully managed, multi-asset analytics platform with integrated streaming and historical processing
• Ability to handle global market data (over 10+ billion messages per day)
• Bulk processing rate of more than 10 million ticks per second, per core
• Real-time collection of 400K-600K messages per second, per core
• Purpose-built to handle the structure and nuance of trades, quotes, and full depth order books
• Comprehensive trade performance analysis and accurate benchmarking for post-trade analytics
• Compliance with strict regulations like HIPAA and GDPR for healthcare data