Enterprise architecture
Integration, data, platform-boundary and governance decisions remain explicit and reviewable.
ARBA International B.V. designs and implements enterprise AI systems, from architecture and integration with your IT environment to ongoing operation and development.
We use AI in our own operations. People approve the rules, review results and resolve exceptions; this experience informs our system design.
Integrations, governance and monitoring are part of the design from day one.
Clear roadmaps, weekly updates, and visible progress keep teams aligned.

Ivan AlexandrovFounder · PhD in Computer Science · 30+ years in enterprise IT
Ivan has spent 30+ years in IT — researching neural networks, carrying CIO-level responsibility and architecting enterprise systems. He now helps companies adopt AI in a way that stays controlled, practical and tied to the business.
Tools are the easy part. The hard part is architecture, governance, integration, security and quality control — and turning all of it into change people actually feel in their work.
That is the experience Ivan brings to ARBA Agency.
Ivan Alexandrov is an enterprise IT architect, technology entrepreneur and founder of ARBA Agency, with a PhD in Computer Science. Across more than 30 years in IT he has worked in corporate IT architecture and strategy, project and program management, software development, infrastructure, information security, business analysis and enterprise systems.
Before building ARBA as an AI-native company, he ran complex IT programs inside large international organizations — in oil and gas, energy, transport and logistics.
Ivan was researching neural networks back in the early 2000s. That gives him a technical, long-term read on AI — one that sees past today’s noise and the churn of short-lived tools.
Today Ivan helps companies define their AI architecture, integrate it with existing systems and organize delivery and operation. His work connects technology choices with business processes, security, quality and the responsibilities of business and IT teams.
Integration, data, platform-boundary and governance decisions remain explicit and reviewable.
Work is decomposed, reviewed and accepted against agreed criteria rather than opaque AI output.
Deployment, access, egress and auditability are reviewed with the customer team before production.
AI accelerates the work; people remain accountable for design, approval and outcomes.
A dated record of product, platform and company releases.
View updatesDeployment models, controls, data boundaries and security review materials.
Review securityApproved company facts, boilerplate and downloadable brand assets.
Open press kitTell us briefly about your project, current stack, and goals - we'll suggest the shortest path to launch.
Identify where AI can change operating performance and what should be piloted first.
Book opportunity reviewReview architecture, integration boundaries, platform choices and the path to production.
Book architecture workshopReview deployment, data flow, egress, identity and responsibility boundaries.
Request security reviewDiscuss joint delivery, local market coverage and the role of Nexus.
Discuss partnershipShare the essentials and we'll reply with next steps and a clear plan.
Meetings by appointment - online or at our Amstelveen office.
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