KX Launches Agentic AI Blueprints Powered by NVIDIA at GTC 2026, Featuring a Capital Markets Research Assistant and Trading Signal Agent

Company introduces production-ready agentic AI blueprints for real-time research and signal intelligence

SAN JOSE, Calif.--(BUSINESS WIRE)--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.

Learn more about KX and NVIDIA's collaboration.

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.