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AI that earns its place in your operations

ARBA moves companies past scattered AI experiments to systems that hold up in production: agents, integrations, team tooling, and the architecture underneath. We design it, pilot it, and scale it with your people still in control.
  • Agents running in real operations
  • Enterprise IT architecture roots
  • Founder with 30+ years in IT
  • A human stays in the loop
  • Pilot first, then scale
  • Netherlands-based B.V.
  • Operating since 2017
  • Founder with 30+ years in enterprise IT
  • 50K+ users across ARBA-built products

Our enterprise platform for sovereign, governed AI

Nexus is our Enterprise AI Foundation Platform — a governed data foundation and an agentic capability plane that run inside your own infrastructure, with evidence, audit and human control by construction.

It is how large, regulated organizations move AI out of stalled pilots and into production without letting their data leave the perimeter.

A clear path from first audit to full rollout

Six steps we repeat on every engagement. Each one stays governed, integrated and measurable, so nothing turns into a black box.

  1. AuditWe look at your data, systems and processes to find where AI actually pays off.
  2. ArchitectureWe design the AI and integration setup so it fits the systems you already run.
  3. PilotWe run a tight pilot with people in the loop and success metrics agreed up front.
  4. IntegrationWe wire AI into CRM, ERP, support and analytics so it works where the work happens.
  5. GovernanceWe set the controls, access and oversight that keep AI safe, auditable and predictable.
  6. ScaleOnce it proves out, we roll it across teams and use cases with results you can repeat.

Four capabilities that add up to one working system

AI agents & automation

AI agents & automation

AI agents and copilots inside your operations: support, sales, documents and knowledge work — always with a human in the loop.

Explore AI agents
Enterprise AI architecture

Enterprise AI architecture

Solution architecture, integration design, security and governance for AI at enterprise level.

Explore architecture
AI transformation

AI transformation

From AI-readiness audit through pilots to rollout — a clear path with measurable results.

Explore AI transformation
Sovereign AI platform

Sovereign AI platform

Nexus — a governed AI platform that runs inside your own perimeter, with audit and human control.

Explore Nexus

The four share one architecture and governance model, so AI lands in your operations as a single system — not a pile of disconnected pilots.

Proof from practice

Internal practice

ARBA AI-native Operating Model

ARBA runs on its own AI agents — development, support, coordination and knowledge work under human supervision.

Internal practice

IT Team Acceleration

AI-assisted delivery for software teams: toolchain, workflows, QA and review guardrails that make selected workflows dramatically faster.

Product in operation

Woo ↔ Exact integration

E-commerce and accounting in sync: bidirectional stock, orders and invoices with monitoring and error handling.

Enterprise IT depth behind every AI decision

ARBA is led by Ivan Alexandrov, PhD in Computer Science, enterprise IT architect and technology entrepreneur with 30+ years in the field. He has done neural networks research, carried CIO-level responsibility, designed corporate IT architecture, and led SAP/OpenText projects, integration platforms, master data, infrastructure, information security and international IT programs.

So ARBA doesn't treat AI as a trend. We treat it as a new operating layer that has to be designed, integrated, governed and measured like any other.

We run it on ourselves first

ARBA runs as an AI-native lab: a small core team and a lot of automation doing the rest. Our own agents handle software development, system administration, security, legal prep, client support, project coordination and knowledge work, all supervised by people with clear quality checks in place.

That gives us experience theory can't. We know where agents pay off, where they need guardrails, and how to put them into day-to-day operations without losing the thread.

Ready to move from AI experiments to a working system?

Tell us where you want AI to work first — we will reply with a clear plan and next steps.