Arango Expands Cologne Office to Help Enterprises Scale AI and Graph Applications

New customer-focused office will host hands-on training and architecture workshops to help enterprises build more reliable AI agents and scale graph applications in production

SAN FRANCISCO, California and COLOGNE, Germany — October 29, 2026 — Arango, the graph-native data platform for mission-critical applications and AI agents, today announced the opening of its expanded Cologne office. The larger space is designed for customers and partners to work directly with Arango experts through hands-on training, architecture workshops and collaborative sessions that help shape future product development.

The office officially opened on October 22 with Arango’s inaugural Customer Advisory Board meeting, bringing together a dozen customers and Arango executives to discuss their biggest AI and data architecture challenges and help shape Arango’s product direction.

Located at the Deichmannhaus, Bahnhofsvorplatz 1, 50667 Cologne, the expanded office strengthens Arango’s presence in Germany and the DACH region while creating new opportunities for customers and partners across EMEA to collaborate directly with the company’s engineering and technical teams.

“As a co-founder, it’s incredibly rewarding to see how far Arango has come and to celebrate this next chapter in Cologne,” said Frank Celler, Co-Founder & Chief Information & Security Officer of Arango. “Our success has always been built on talented engineers, a passion for solving difficult problems and close relationships with our customers. This new office brings those strengths together and creates even more opportunities to innovate.”

Two Production Challenges Arango Helps Solve

As enterprises move AI agents and graph applications into production, two common architecture challenges emerge.

  • Getting AI agents into production. AI agents can retrieve information, but they struggle when answers depend on connected, current data across multiple sources. Without the relationships, freshness and supporting evidence that tie data together, agents can miss important context and produce answers that are difficult to trust.
  • Scaling connected graph applications. Graph applications can hit a ceiling when a connected graph outgrows a single server. As data and query complexity increase, teams may face slower multi-hop queries, bigger machines, graph splitting or migration. Arango lets one connected graph scale across multiple servers while keeping related data together.

Arango addresses both challenges with a graph-native data platform built for connected data. For AI applications, it brings relationships, current and historic data, and supporting evidence together and keeps that context current. For graph workloads, Arango distributes a connected graph across multiple servers while preserving the relationships applications need to query.

Through hands-on training and architecture workshops at its expanded Cologne office, Arango will help customers apply these capabilities to their own applications, data and production requirements.

“Building an AI application prototype is one thing. Making it reliable and scalable in production is another,” said Shekhar Iyer, CEO of Arango. “Customers come to us when their applications and agents need better context or when their connected data has outgrown the architecture underneath it. Our expanded Cologne office brings technical leaders and builders together with our experts to solve those problems and move their applications forward.”

Hands-On Workshops to Accelerate AI and Graph Applications

Customers and partners can work directly with Arango experts to solve challenges in their own applications, improve performance and prepare for production.

Workshops will focus on two common production challenges: building more reliable AI agents with knowledge graphs and GraphRAG, and scaling connected graph applications as data, query complexity and usage grow. Customers can also work with Arango experts on application modernization, hands-on training and architecture testing against real-world performance requirements.

Bringing Customers Closer to Product Development

The inaugural Customer Advisory Board gave participating customers a direct opportunity to share their experiences, discuss emerging technology requirements and influence Arango’s product strategy and roadmap.

Participants discussed priorities including interoperability across systems, security and governance, developer productivity, data recovery, and the requirements for scaling AI and graph applications in production.

The advisory board establishes an ongoing forum for customers to share feedback, exchange ideas with peers and work directly with Arango’s product and engineering leaders.

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Key Facts

  • Official Opening: October 22, 2026
  • Location: Deichmannhaus, Bahnhofsvorplatz 1, 50667 Cologne, Germany
  • Regional Presence: Strengthens Arango’s presence in Germany and the DACH region, supporting customers and partners across EMEA.
  • Customer Collaboration: Expanded facilities for hands-on technical training, architecture workshops, and direct engagement with Arango’s product and engineering teams.
  • Technical Focus: Helping enterprises build reliable AI agents, implement knowledge graphs and GraphRAG, modernize applications, and scale graph workloads in production.
  • Customer Advisory Board: Hosted Arango’s inaugural CAB on October 22, bringing together 12 customers and company executives to discuss product direction and enterprise data challenges.
  • Global Hiring: Arango is expanding its global team, with 17 open positions across multiple functions and geographies.
  • Current job openings

About Arango

Arango delivers a unified, natively multimodel contextual data platform that powers AI agents, assistants, 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, copilots, and AI agents through a simplified architecture delivered out of the box. By combining graph, vector, document, key-value, and search capabilities in a single platform, Arango eliminates the complex stacks many organizations build to operationalize enterprise AI.

Trusted by organizations including NVIDIA, HPE, the London Stock Exchange, PSI CRO, the U.S. Air Force, NIH, Siemens, Transient.AI, Matpriskollen, and Articul8, Arango helps enterprises move from AI pilots to reliable production systems faster while lowering infrastructure complexity and total cost of ownership. Arango is a proud member of the NVIDIA Inception Program and the AWS ISV Accelerate Program. Learn more at arango.ai, LinkedIn, and G2.

Media Contact:
press@arango.ai