.jpg)
Arango has announced its participation in NVIDIA GTC 2026, taking place March 16–19 at the San Jose Convention Center. AI leaders and builders attending the event are invited to visit Booth 3421 to meet Arango executives and contextual data experts, explore live demonstrations, and see how organizations are using a contextual data layer to power AI agents that can reason, decide, and act across complex enterprise data environments.
Arango will participate in NVIDIA GTC 2026, showcasing its Contextual Data Platform at Booth 3421 to demonstrate how it powers production AI agents.
The company addresses the "business context gap" where fragmented enterprise data prevents AI agents from reasoning effectively across workflows.
Live demonstrations will include integrated circuit design knowledge graphs, infrastructure security root cause analysis, and NVIDIA Video Search with Arango GraphRAG.
Arango will unveil version 4.0 of its Contextual Data Platform on March 17, 2026, during the conference.
The platform unifies graph, vector, document, and search capabilities to eliminate the need for stitching together multiple databases.
Arango is a member of the NVIDIA Inception Program and is trusted by organizations including NVIDIA, HPE, Linx Security, the U.S. Air Force, and Articul8.
As enterprises accelerate the deployment of AI agents that can reason, decide, and act across complex workflows, many are discovering that the biggest barrier isn't the AI model itself. The critical missing piece is business context that connects fragmented enterprise data. Without this context, AI systems cannot fully understand what things mean, how they relate, when they were true, and where they came from.
At NVIDIA GTC 2026, Arango will demonstrate how organizations are closing this gap by building a contextual data layer. This layer enables AI systems to understand and leverage unified business context, defined once and reused across AI agents, applications, and workflows. Industry analysts increasingly highlight the importance of unified multimodel data platforms that combine graph, vector, document, and other data types to support advanced AI workloads and reasoning systems.
Organizations across industries are recognizing the need for a contextual data layer to power AI agents across complex workflows. Use cases include AI support agents for engineers diagnosing issues across products and systems, engineering intelligence where AI agents trace chip designs across development and production, and customer service co-pilots guiding frontline staff with real-time operational context. Other applications span cybersecurity investigations, clinical trial intelligence, supply chain digital twins, and video intelligence for incident response.
Many organizations attempt to assemble this contextual layer themselves, starting with vector search, then adding graph technologies, document stores, and custom pipelines. The result is often a complex, fragile, and fragmented stack that becomes difficult to maintain as AI initiatives scale. Arango delivers this contextual data layer out of the box, allowing teams to power AI systems with unified business context without stitching together multiple databases and pipelines.
“Enterprises are deploying AI agents that must reason, decide, and act across complex business environments – but without the right business context across enterprise data, they cannot succeed,” said Shekhar Iyer, CEO of Arango. “At NVIDIA GTC, we’re excited to meet with AI leaders and builders and demonstrate how a contextual data layer helps make AI systems reliable and production-ready.”
At Booth 3421, Arango will showcase live demonstrations of the Arango Contextual Data Platform, illustrating how organizations empower AI agents with unified, current, and trusted business context at scale.
One demonstration will show how AI agents trace chip designs from development through production support, reasoning across engineering data, documentation, and system records to accelerate troubleshooting and design decisions.
Another demonstration will focus on infrastructure security, identifying failures, configuration changes, root causes, and remediation steps by connecting alerts, logs, and documentation into unified operational context. Additionally, Arango will showcase NVIDIA Video Search and Summarization combined with Arango GraphRAG, turning hours of video into actionable insights by connecting video evidence with enterprise data. NVIDIA will also feature version 3.0 of this blueprint at their booth.
Arango will unveil the Arango Contextual Data Platform 4.0 on March 17, 2026, during NVIDIA GTC, highlighting new features and capabilities. Visitors to Booth 3421 can receive copies of The Forrester Multimodel Data Platforms Landscape, Q4 2025 and Arango's Definitive Guide to Agentic AI-Ready Data Architectures.
Attendees will also have the opportunity to meet Arango's leadership team and contextual data experts to discuss customer use cases and emerging architectures that help organizations move AI from experimentation to reliable production systems.
Key Facts: Arango at NVIDIA GTC 2026
Event: NVIDIA GTC 2026
Dates: March 16–19, 2026
Location: San Jose Convention Center
Booth: 3421
Schedule a Meeting
Book time with the Arango team using Avery, Arango's AI agent, at: arango.ai
Live Demonstrations
Integrated Circuit Design Knowledge Graph
Infrastructure Security Root Cause and Remediation
NVIDIA Video Search and Summarization + Arango for GraphRAG
Arango Contextual Data Platform 4.0 New Features (TBA March 17, 2026)
Resources Available at Booth 3421
Get copies of the Forrester Multimodel Data Platforms Landscape Q4,2025 and Arango's Definitive Guide to Agentic AI-Ready Data Architectures.
Upcoming Product Announcement
Arango will unveil the Arango Contextual Data Platform 4.0 on March 17 during NVIDIA GTC.
NVIDIA Ecosystem Member of the NVIDIA Inception Program supporting AI startups building on accelerated computing.
About Arango
Arango delivers a unified, natively multimodel Contextual Data Layer that powers AI agents and applications with the unified, current, and trusted business context needed to reason, decide, and act at scale.
The Arango Contextual Data Platform connects fragmented enterprise data with LLMs, co-pilots, and AI agents through a simplified, agentic-AI–ready architecture delivered out of the box. By unifying graph, vector, document, key-value, and search capabilities in a single native platform, Arango eliminates the complex "Frankenstack" most organizations stitch together to operationalize enterprise AI.
TechIntelPro empowers B2B technology decision-makers with the latest industry trends, deep insights, leadership perspectives and actionable intelligence to drive both organizational and professional milestones—and thrive on the tech pulse.