EVERY CAPITAL MARKETS AI PROBLEM IS A DATA PROBLEM

KX is a data intelligence and temporal AI platform purpose-built for capital markets. KX helps financial institutions capture, sequence, analyze, and act on real-time and historical market data, providing the time and context AI models and agents need to make reliable decisions.

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WHY KX EXISTS

WHY DOES AI IN CAPITAL MARKETS REQUIRE SPECIALIZED DATA INFRASTRUCTURE?

AI in capital markets depends on understanding not only what happened, but when it happened and in what sequence. Prices, orders, trades, news, and market events change continuously. AI systems that lack this temporal context can reason from information that is incomplete, stale, or out of sequence.

For more than 30 years, KX has helped the world’s leading financial institutions solve this challenge through kdb+, the high-performance time-series database built to capture and analyze market data at speed and scale. kdb+ became foundational to trading, quantitative research, risk, and other data-intensive workloads across global capital markets.

Today, that proven kdb+ foundation extends through KDB-X and the broader KX portfolio to support the next generation of capital markets AI, giving models and agents access to real-time and historical data with the time, sequence, and context needed to make reliable decisions.

Explore why firms around the world choose KX

WHAT MAKES KX DIFFERENT?

Temporal Data Built For How Markets Actually Work

KX captures and sequences market events with precise time context, allowing firms to analyze what happened, when it happened, and what information was available at that moment.

Real-Time and Historical Analysis in One Environment

KX enables firms to analyze streaming market activity alongside historical data, supporting use cases including quantitative research, backtesting, execution analytics, risk management, and surveillance.

Structured and Unstructured Context for AI

KX brings time-series market data together with unstructured information so AI applications can reason over both market activity and the context surrounding it.

WHAT DOES KX DO?

KX provides temporal data infrastructure for capital markets.

Built on more than 30 years of innovation through kdb+, KX helps financial institutions capture and analyze real-time and historical market data at the speed and scale global markets demand. kdb+ helps organizations develop and backtest trading strategies, analyze execution, monitor markets, support regulatory surveillance, and build AI applications grounded in time-aware data.

KX delivers the following capabilities through KDB-X, built on the proven kdb+ engine; OneTick Cloud for managed market data and analytics; and OneTick Surveillance for market surveillance and compliance.

Trading and Execution Analytics

To analyze market conditions, execution quality, and trading performance in real time.

Market Data Management

To capture, normalize, and analyze high-volume market data across markets and asset classes.

Market Surveillance and Compliance

To detect potential market abuse, reconstruct market activity, and support regulatory investigations.

AI and Agentic Applications

To give models and agents access to market data with the time, sequence, and context needed to produce more reliable outputs.

KX BY THE NUMBERS

30+ Years

KX has powered data-intensive capital markets for more than three decades

60% of global GDP

Financial Institutions representing more than 60% of global GDP use KX

Millions per second

KX customers process millions of market events every second.

Leadership team

Ashok Reddy
Chief Executive
Officer

Adam Bozek
General Counsel

Michael Gilfix
Chief Product &
Engineering Officer

Matthew Bagley
Chief Financial
Officer

James Hollands
Chief Revenue
Officer

Anjali Jamdar
Chief People
Officer

Martin Carr
Chief Customer Officer

The People Driving Innovation at KX

Andrew Wilson
Chief Scientist

Nataraj Dasgupta
Head of AI

Kamala Parvathanathan
Head of Engineering

Jeff Banker
Head of Capital Markets

HOW FINANCIAL INSTITUTIONS USE KX

KX technology supports some of the world’s most demanding capital markets environments, from quantitative research and trading to execution analytics and AI. Financial institutions use KX when the volume, speed, and temporal complexity of market data make general-purpose infrastructure difficult to use effectively.

RBC Capital Markets: Building AI for Capital Markets

RBC Capital Markets uses KX as part of the data infrastructure supporting Aiden, its family of AI systems developed with Borealis AI and NVIDIA. KX enables RBC’s AI applications to combine vector search with real-time and historical market data, giving AI agents access to both information and its temporal context.

RBC has reported a 10x increase in document processing capacity and up to a 60% reduction in research report creation time as part of its broader AI initiative.

Explore the RBC story →

ADSS: Real-Time Analytics for Pricing, Risk and Execution

ADSS uses KX to process and analyze billions of market-data ticks each day, giving its trading and quantitative teams real-time insight into changing market conditions. KX supports confident pricing, execution analysis, risk management, and backtesting across large volumes of streaming and historical data.

ADSS can understand its risk exposure within one or two milliseconds of a trade, helping teams respond quickly as market conditions change. PyKX also gives a broader group of analysts and traders direct access to this data, accelerating research, analysis, and the development of new trading strategies.

Explore the ADSS story →

TD Securities: Improving Execution Analysis with OneTick Cloud

TD Securities uses OneTick Cloud to analyze execution quality across its equities business. The managed environment provides detailed historical market data alongside consolidated market information, giving trading teams the data needed to evaluate venue quality and improve execution strategies.

By using normalized, analytics-ready market data, TD Securities can focus its resources on execution analysis and model improvement rather than building and maintaining its own tick-data infrastructure.

Explore OneTick Cloud →

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