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Multicloud Enterprise Kubernetes

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Know before you commit.  See if G.Tx is the right path for your legacy modernization - and what it could look like

In under a week, our experts analyze your codebase, qualify it for AI-driven transformation, and deliver a clear report with risks, gains, and recommended next steps - at no cost.

Request a Free Assessment
What you get?

Get a fact-based modernization report — 4 key areas, zero sales pitch

1

System & code assessment

G.Tx - assisted expert analysis of your codebase structure, complexity, and core functional areas.

2

G.Tx qualification

Clear identification of where AI-driven automation brings the highest value: documentation, refactoring, migration, or test generation - with indicative efficiency gains.

3

Risks & challenges

Transparent overview of structural complexity, test coverage gaps, and knowledge constraints that could impact modernization.

4

Guidance & next steps

Actionable priorities and a recommended path forward - whether that’s a focused Proof of Concept or a deeper G.Tx Feasibility Analysis.

How it works?

From first call to actionable report in under a week

Step 1

Discovery workshop

We align on your pain points, modernization goals, and system landscape. You walk us through the product and its target vision; we define the scope together.

Step 2

Code sharing

Share your codebase - full or sample. We adapt LLM deployment to your security requirements: on-premises, private cloud, or Grape Up managed environment. Your code is never used to train AI models.

Step 3

AI-powered analysis

Our experts leverage G.Tx Platform to run automated code analysis - mapping structure, dependencies, business logic, and transformation potential.

Step 4

Assessment report delivery

You receive a comprehensive report with system evaluation, AI-transformation qualification, identified risks, and clear next-step recommendations.

Start with a Free Assessment
Why G. Tx?

Built for enterprise. Proven in production.

AI-agentic, not
AI-assisted

G.Tx uses advanced agentic workflows that analyze source code directly - delivering structured, transparent outputs, not black-box suggestions.

Security-first approach

Your code stays under your control. We offer four LLM deployment models - from fully on-premises to customer-approved public models - aligned with your compliance requirements.

Enterprise modernization expertise

Grape Up has delivered complex legacy transformations in automotive, finance, aviation, and manufacturing. We bring domain knowledge, not just tooling.

Schedule a call
Data security

Your code. Your rules.

We know that sharing source code requires trust. That’s why before any analysis begins, we agree on the LLM deployment model and security measures with you. Customer code is never used to train or fine-tune any AI model, is processed only within the agreed scope, and is isolated per engagement.

  • Customer On-Premises
  • Customer Private Cloud
  • GU Managed Private Environment
  • Public LLM (Approved by client)
Case study

24 weeks became 5: When AI transforms legacy modernization

Trusted by enterprises modernizing at scale.

Read more
Connect

Get clarity on your legacy system — before you spend a single dollar on modernization

The G.Tx Assessment is free, takes under a week, and gives you the data you need to make confident transformation decisions.

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Capabilities:
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Industries:
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Solutions:
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