KX delivers gpu-accelerated advantage for real-time AI in Capital Markets. April 2, 2026 Press play to listen to this content NEW YORK, April 2, 2026 - KX, a global leader in real-time, time-series, and AI-driven analytics, today announced the general availability of KDB-X, a unified compute engine designed to bring real-time AI into production for capital markets. By integrating time-series, vector, and GPU compute in a single runtime, KDB-X eliminates the fragmentation between research, backtesting, and live trading, enabling firms to deploy AI-driven strategies and agentic workflows with speed and control. KDB-X introduces GPU-accelerated analytics for time-series workloads, delivering 10x to 25x performance gains on core operations such as joins, aggregations, and model scoring. Built on the kdb+ engine, the platform also continues KX's leadership in industry benchmarks, where KX consistently outperforms alternative architectures in high-volume tick analytics in the STAC MS benchmark. KDB-X unifies structured market data with unstructured alternative data in a single environment, combining deterministic analytics with generative AI grounded in temporal context. This allows firms to build, test, and deploy intelligent trading and risk systems without moving between separate systems for time-series, vector search, and AI compute. "North Rock is continually evolving its technology stack to keep pace with the increasing demands of real-time data and AI-driven decision making," said Don Breslauer, Chief Technology Officer at North Rock Capital. "KDB-X's unified design is an exciting development, and we see strong potential in how it could help reduce infrastructure complexity while enabling more efficient, real-time analytics and AI workflows." At NVIDIA GTC 2026, CEO Jensen Huang recognized KDB-X as an enterprise-class AI database, highlighting its role in the emerging agentic AI stack. KX and NVIDIA have collaborated on production-ready AI blueprints for capital markets, including research assistants and trading signal agents built on the NVIDIA AI platform. Early deployments have demonstrated significant gains in research speed and operational efficiency. "Our clients in capital markets demand performance, resilience, and clarity in their technology stack," said Jonny Press, CTO of Data Intellect. "KDB-X consolidates time-series analytics and AI workloads into a single production platform, streamlining deployment and improving operational control. Simplification is critical in real-time trading environments." Data from the KX Capital Markets Data Report shows that quants are already seeing a 62% productivity lift from AI. However, firms only translate those gains into competitive advantage when research, backtesting, and production operate on a unified foundation. Organizations that reduce infrastructure fragmentation achieve results an average of 6.6 months faster than peers. "AI in capital markets has outpaced the infrastructure built to support it," said Ashok Reddy, CEO of KX. "KDB-X closes that gap by unifying time-series, vector, and GPU compute in a single production engine. With transparent pricing, an open ecosystem, and natural language access, we're making real-time AI systems accessible to a much broader set of builders." KDB-X is designed to address long-standing barriers to adoption. It introduces transparent pricing, a free Community Edition for commercial use, and native support for open data formats including Apache Parquet. The platform also includes built-in natural language querying via MCP Server, enabling users to interact with live and historical data using AI assistants. Together, these capabilities reduce cost, simplify integration, and expand access beyond specialist developers. KDB-X, KDB-X GPU Acceleration, and KDB-X Community Edition are generally available. Firms can begin deploying unified AI-driven trading and risk systems immediately through the KX Developer Center. KX software powers real-time, time-series, and AI-driven analytics across capital markets, aerospace & defense, and high-tech manufacturing. Built for speed, precision, and scale, the KX platform enables organizations to extract actionable insights from streaming, sensor, and historical data to support critical use cases from predictive maintenance and operational automation to real-time simulation and vertical agentic AI. Trusted globally for its proven performance and reliability, KX delivers the data infrastructure enterprises need to thrive in an AI-driven world.

KX has launched two capital markets agentic AI blueprints developed with NVIDIA: an AI Research Assistant and Trading Signal Agents. The company announced general availability at NVIDIA GTC 2026, demonstrating how firms can operationalise real-time decision intelligence across research, trading and risk teams. Built on NVIDIA's AI Enterprise software, including NeMo Retriever and NIM microservices, the blueprints combine GPU-accelerated vector indexing with KX's time-series analytics platform. The system enables sub-second responsiveness whilst maintaining auditable workflows at enterprise scale. A proof of concept with RBC Capital Markets showed the technology compressed research cycles from hours to minutes. The AI Research Assistant accelerates workflows across structured market data and proprietary documents, whilst Trading Signal Agents help teams discover and validate signals in real time.

KX launches agentic AI blueprints Powered by NVIDIA at GTC 2026, featuring a Capital Markets Research Assistant and Trading Signal Agent. 11 March, 2026 Reading Time Company introduces production-ready agentic AI blueprints for real-time research and signal intelligence. SAN JOSE, Calif., March 11, 2026 - KX a global leader in real-time, time-series, and AI-driven analytics, today announced general availability of two capital markets agentic AI blueprints developed in collaboration with NVIDIA: an AI Research Assistant and Trading Signal Agents. KX will demonstrate both blueprints at NVIDIA GTC 2026, showcasing how capital markets firms can operationalize real-time decision intelligence across research, trading, and risk teams using the NVIDIA AI Factory stack. Available now, the KX AI Research Assistant blueprint is designed to accelerate research workflows by improving retrieval, summarization, and synthesis across structured market data, unstructured content, and proprietary documents used for earnings, filings, and investment research. The KX Trading Signal Agents blueprint is designed to help teams discover, validate, and monitor signals in real time by aligning multi-modal information in market time and producing governed outputs that can be evaluated and incorporated into trading and risk processes. Built on NVIDIA accelerated computing and NVIDIA AI Enterprise software, including NVIDIA NeMo Retriever, NVIDIA Nemotron embedding models, and NVIDIA NIM microservices, the blueprint combines GPU-accelerated vector indexing and search through KDB.AI's integration with NVIDIA cuVS, along with KDB-X, KX's time-series native analytics platform. This integration delivers a unified solution for capital markets that enables temporal AI, ensuring AI systems understand not just what happened, but when it happened. By aligning data to event time and computing point-in-time correct context, the solution supports sub-second responsiveness and repeatable, auditable workflows at enterprise scale. These autonomous, goal-oriented agents operate directly on live data streams and coordinate across workflows to deliver validated, actionable outputs for human decision-makers. "Capital markets are facing an alpha paradox where more data and more AI can make it harder to find durable signal," said Ashok Reddy, CEO at KX. "The signal-to-noise ratio is collapsing. When signals decay before validation, and governance and economics can't keep up, many AI approaches break down. KX is solving these problems with Temporal AI systems that turn real-time, multi-modal data into research and signal intelligence that teams can operationalize with speed, governance, and control." "To extract durable alpha in today's hyper-competitive markets, financial institutions need unprecedented computational capacity," said Ioana Boier, Global Head of Capital Markets Strategy, NVIDIA. "Our collaboration with KX combines NVIDIA AI Factory stack with KX's deep expertise in time-series data, enabling trading and research teams to overcome the traditional speed-intelligence trade-off and deploy complex models without sacrificing real-time execution at scale." A production-focused proof of concept with RBC Capital Markets showed measurable impact in research workflows and AI experimentation. The effort produced Aiden Quick Takes, which incorporates a number of specialized agents, including earnings and filings workflows, to compress research cycles from hours to minutes across RBC's capital markets organization. The proof of concept also demonstrated how KX, via integrations with NVIDIA AI Enterprise software, improved retrieval and search quality across the structured market data, unstructured content and narrative, and proprietary documents used for earnings and research decisions. "We wouldn't be able to do any of this without RBC Borealis and our strategic partnerships," said Bobby Grubert, Head of AI and Digital Innovation at RBC Capital Markets. "We're prioritizing industry leaders that we go deep with in terms of strategy - NVIDIA and KX being two of those firms - as we go all in to scale up and out across capital markets." KX will conduct live demonstrations of the AI Trading Signal Agent and AI Research Assistant Blueprints at Booth #186 while on site at NVIDIA GTC 2026. In addition, Reddy will present From Signal to Strategy Unlock Alpha With AI Powered Research and Trading on Monday, March 16, 2026, at 5:00PM PT. The session will examine how capital markets firms can operationalize insight and decision intelligence in real time. This announcement precedes the upcoming debut of KDB-X, the next generation of the kdb+ ecosystem built for real-time, data-intensive, and AI-driven applications, and is part of KX's ongoing efforts to support capital markets, advance high-performance infrastructure, and operationalize AI at scale. About KX. KX software powers real-time, time-series, and AI-driven analytics across capital markets, aerospace & defense, and high-tech manufacturing. Built for speed, precision, and scale, the KX platform enables organizations to extract actionable insights from streaming, sensor, and historical data to support critical use cases from predictive maintenance and operational automation to real-time simulation and vertical agentic AI. Trusted globally for its proven performance and reliability, KX delivers the data infrastructure enterprises need to thrive in an AI-driven world www.KX.com