Enterprise Account Executive - France

Arango has launched Contextual Data Platform 4.0 at NVIDIA GTC, designed to help organisations build enterprise AI agents and applications more reliably. The platform introduces a Contextual Data Layer that transforms fragmented enterprise data into unified business context for AI systems. The release includes the Agentic AI Suite with over 20 built-in AI services, AutoGraph for automated context graph generation, AutoRAG for optimising retrieval, and Ada, an AI digital assistant. The platform supports deployment across cloud, on-premises and hybrid environments. Early adopters report 30–50% reduction in integration complexity and 2–4× faster AI development cycles. Customers include PSI CRO, Matpriskollen, Transient.AI and Linx Security. The platform also supports Bring Your Own Code/Container deployment, allowing organisations to integrate preferred models whilst maintaining security and compliance control.

Transient.AI, an AI platform for capital markets, has selected Arango's AI Data Platform as its data infrastructure to deliver explainable, real-time intelligence for hedge funds, asset managers and investment banks. The partnership enables Transient.AI to model complex financial relationships whilst maintaining transparency in AI-driven outcomes. The New York-based company, founded in 2024, required a unified system capable of combining graph, vector and document data whilst supporting real-time analysis of interconnected entities including strategies, instruments and risk factors. Arango's multi-model platform eliminates data fragmentation across AI workflows, enabling explainable decisions at institutional scale. The infrastructure supports front-office workflows including institutional sales, trading and research by delivering AI-driven recommendations on counterparty engagement and market opportunities. Financial institutions face mounting regulatory pressure to ensure AI decisions are both accurate and auditable.

Arango launches AI Data Platform at NVIDIA GTC introducing Contextual AI: Enterprise AI powered by business context. Arango AI Data Platform gives you a trusted data foundation for Contextual AI - transforming enterprise data into a System of Context that truly represents the business, so LLMs can deliver better outcomes with unlimited scale and cost efficiency. WASHINGTON-(BUSINESS WIRE)-Arango unveiled the Arango AI Data Platform, a trusted data foundation for Contextual AI - transforming enterprise data into a System of Context that truly represents the business, so LLMs can deliver better outcomes with unlimited scale and cost efficiency. Operating at the data infrastructure layer, Arango fills the missing layer in the AI stack - because traditional data architectures weren't built to support AI workloads or the data complexity they require. Arango launches AI Data Platform at NVIDIA GTC introducing Contextual AI: Enterprise AI powered by business context. Share. We're entering an era where context is the new currency of enterprise AI. Competitive advantage no longer comes from raw compute power - it comes from understanding business context. The leaders are building Systems of Context that connect every type of data - structured, semi-structured, and unstructured, from databases and logs to text, images, and video - so AI can recognize relationships, understand meaning, and deliver insights that make sense to the business. Without context, AI sees fragments instead of the full picture - delivering generic answers instead of answers or outcomes based on true business understanding. With it, enterprises move from disconnected data to accurate, explainable, and actionable intelligence that drives measurable ROI. Overcoming the Barriers to Enterprise AI Success Most AI applications can generate answers, but they can't understand the business because they're disconnected from enterprise data. They're built on fragmented stacks - separate databases, brittle pipelines, and missing relationships between data and meaning. When organizations try to scale copilots, chatbots, or agentic applications, those fragile architectures break under real-world scale, leading to inaccurate answers, stalled performance, and rising infrastructure costs. The Arango Advantage "Every enterprise building AI today is fighting the same battle: fragmented data, brittle pipelines, and runaway costs," said Ravi Marwaha, Chief Product & Technology Officer at Arango. "The problem isn't the models; it's the missing business context. Contextual AI shifts the focus from data integration to business understanding. With the Arango AI Data Platform, we're giving AI the business context it needs to deliver accurate, explainable, and actionable insights at scale and provide the repeatable ROI enterprises can measure." Arango solves this with a System of Context, a unified data foundation that connects relationships, meaning, and business context across all types of enterprise data. Within a single integrated environment, Arango unifies multimodal and multi-model data, including graphs, vectors, documents, key-value data, and full-text search, enabling AI to reason, retrieve, and respond with business understanding rather than isolated information. It understands relationships through graphs, meaning through vectors, and multimodal signals across text, structured data, and media, giving AI the ability to connect facts to context and deliver results enterprises can trust. By combining advanced capabilities such as Hybrid/GraphRAG, AIOps, MLOps, Graph Analytics, and GPU acceleration, Arango enables enterprises to: * Accelerate development: Eliminate data silos and fragile integrations. * Scale confidently: Handle billions of relationships with real-time performance. * Reduce cost and complexity: Consolidate tools, simplify maintenance, and achieve repeatable ROI. With Arango, enterprises gain context-aware AI applications that understand their business reality and solve specific problems with accuracy and scale. "Most enterprises have valuable data scattered across disconnected systems such as CRMs, ERPs, emails, product logs, and documents," said Marwaha. "The challenge isn't that they lack data; it's that the data lacks context. The System of Context changes that by unifying every source and mapping how things relate across all data so AI understands the business context. When AI sees the full picture, its answers, decisions, and actions become accurate, explainable, and trustworthy - making AI truly useful for business." Build Enterprise AI Faster with a System of Context With built-in ingestion pipelines, BYO LLM integrations, and context-aware RAG frameworks for GraphRAG, HybridRAG, and enterprise context management, Arango accelerates the path from prototype to production, ensuring every model response is grounded in enterprise knowledge. Teams can use natural-language querying to ask questions in plain English and instantly generate optimized Arango Query Language (AQL) commands, turning business questions into contextual outcomes in seconds while reducing developer workload. Just as Waymo's self-driving system fuses inputs from cameras, radar, and LiDAR into situational awareness, Arango fuses enterprise data into business context, enabling AI to perceive, interpret, and decide with accuracy and scale. This is the foundation of Contextual AI, giving models the ability to reason like humans but at machine speed and enterprise scale. Enterprise-Grade Results * Builds Trust: Connects relationships and meaning across all data types for accurate, explainable AI that understands business context. * Scales Without Limits: Handles billions of relationships with SmartGraph clustering and natural-language querying. * Cuts Costs: Consolidates multiple systems with GraphRAG, HybridRAG, and BYO LLM support, reducing total cost of ownership by up to 70%. With Arango, enterprises gain a dynamic System of Context that evolves with their data, models, and needs - enabling them to scale AI confidently, maintain trust, and turn insight into action. Building the Future of Enterprise AI The Arango AI Data Platform simplifies every stage of AI development, reducing time to delivery, eliminating integration headaches, and empowering teams to build faster. A new role is emerging: the Context Engineer - builders who design relationships, curate multimodal data, and connect it to reasoning. Arango equips them to architect understanding, not just pipelines. "Success in enterprise AI won't be defined by who has the biggest model but by who can connect their data into business understanding," added Marwaha. "With Arango, enterprises turn disconnected data into Contextual AI, delivering business results with context, confidence, and scale." New Product: The Arango AI Data Platform unifies graph, vector, document, and key-value data with full-text and multimodal search in a single System of Context. It connects relationships between all types of data to give AI business understanding and enables AI-powered applications with accurate, explainable insights, unlimited scale, and repeatable ROI. Product Launch: Official debut at NVIDIA GTC AI Conference, Washington, D.C., October 28, 2025. AI Ecosystem Fit: Arango serves as the AI data foundation that turns enterprise data into a System of Context - the layer that connects meaning, relationships, and reasoning across the business. With context-aware RAG (Hybrid/GraphRAG), Arango enables AI to retrieve, reason, and respond using the full spectrum of enterprise data, delivering accurate, explainable, and actionable insights that reflect business context across every AI-powered application. AI Suite: The Arango AI Suite delivers built-in capabilities for context-aware RAG, Hybrid/GraphRAG, AIOps, MLOps, Graph Analytics, and GPU acceleration within the same integrated environment. It allows teams to build, test, and deploy AI-powered applications faster, improve accuracy and scalability, and achieve repeatable ROI by operationalizing context-aware AI without managing multiple tools. Performance: Scales to billions of relationships with SmartGraph clustering, horizontal elasticity, and near-real-time performance under production workloads. Customers: Trusted by thousands of developers at more than 200 organizations - including NVIDIA, HPE, the London Stock Exchange, the U.S. Air Force, the National Institutes of Health (NIH), the French Ministry of Defense, Synopsys, and Articul8 - who rely on Arango to enable mission-critical applications at global scale. Learn More: See the Arango AI Data Platform in action at Booth I-2 during NVIDIA GTC Washington, D.C. Visit arango.ai or book a private preview. About Arango Arango gives you a trusted data foundation for Contextual AI - transforming enterprise data into a System of Context that truly represents the business, so LLMs can deliver better outcomes with unlimited scale and cost efficiency. The Arango AI Data Platform gives developers a single, integrated environment to build and scale AI-powered applications without the complexity of stitching together multiple databases and tools. At its core is a massively scalable multi-model database that unifies graph, vector, document, and key-value data with full-text, geospatial, and vector search, creating the System of Context - the bridge between enterprise data and AI-powered applications. The Arango AI Suite includes automated data pipelines, multimodal data ingestion, AIOps and MLOps, LLM integrations, Graph Analytics, agentic frameworks for context-aware Hybrid/GraphRAG, GraphML, natural-language support, and GPU acceleration, enabling repeatable ROI and faster innovation. Trusted by NVIDIA, HPE, the London Stock Exchange, the U.S. Air Force, NIH, and Articul8, Arango powers enterprise AI with context, confidence, and scale. Learn more at arango.ai, LinkedIn, YouTube, and G2.