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Gizil GmbH

Stand: M25(Floor plan)
Engineering & Procurement
Maintenance & Repair
Terminal Management IT Solutions

About us

What if the biggest barrier to digital transformation in tank terminals isn’t technology—but understanding the plant itself?

Across the storage and terminal industry, digitalization strategies often focus on artificial intelligence, analytics, and automation. Yet many facilities still operate with fragmented documentation, decades of modifications, and legacy systems that were never designed for the digital era.

In other words: before artificial intelligence, there must be brownfield intelligence.

Brownfield facilities are complex ecosystems. Tanks, pipelines, instrumentation, and control systems evolve continuously over time. Engineering documents become outdated, operational knowledge remains scattered across teams, and the true state of the plant often exists only in the experience of operators and engineers.

Attempting digital transformation without first structuring this reality creates a fundamental gap between digital ambition and operational truth.

This is where Virtual Plant® comes in.

At Gizil, we approach digital transformation from an engineering-first perspective. Virtual Plant® is a brownfield intelligence platform designed to capture, structure, and contextualize real industrial assets into a living digital environment. By integrating engineering documentation, asset information, and operational context, it creates a reliable digital foundation that enables safer operations, more efficient maintenance, and scalable digital initiatives.

For tank storage operators and terminal infrastructures—where safety, asset integrity, and regulatory compliance are paramount—this approach provides a practical path forward. Instead of forcing transformation through isolated technologies, brownfield intelligence establishes the structured plant understanding required for advanced digital capabilities to succeed.

At StocExpo 2026, we look forward to sharing insights on how tank terminals can bridge the gap between legacy infrastructure and future digital capabilities—starting not with algorithms, but with a deeper understanding of the plant itself.

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