Replace on-prem systems and legacy applications with modern, cloud-native infrastructures to build the foundation for data flow and intelligence.
Establish foundation for modern data platforms
A unified, AI-ready data layer on scalable cloud infrastructure that collects and governs information from machines and systems.
Gain Intelligence Readiness
Modular, cloud-native architecture with on-demand resources prepared for AI, analytics, and GenAI augmentation.
Enable real-time connectivity
Connecting machines and systems through cloud IoT and edge integration for secure, real-time data flow and operational analytics.
Activate modern business operations
Real-time data analysis powered by elastic cloud services for planning, operations, fleet management, and predictive maintenance.
Establish foundation for modern data platforms
A unified, AI-ready data layer on scalable cloud infrastructure that collects and governs information from machines and systems.
Enable real-time connectivity
Connecting machines and systems through cloud IoT and edge integration for secure, real-time data flow and operational analytics.
Gain Intelligence Readiness
Modular, cloud-native architecture with on-demand resources prepared for AI, analytics, and GenAI augmentation.
Activate modern business operations
Real-time data analysis powered by elastic cloud services for planning, operations, fleet management, and predictive maintenance.
G.Tx Modernization: AI-Powered Transformation from On-Prem to the Cloud
Remove legacy bottlenecks on your path to innovation. G.Tx Platform leverages AI-agentic workflows to automate modernization processes – delivering up to 5x faster transformation.
Handles massive scale with unlimited complexity
Generates up to 70% code automatically
Requires less manual effort
Delivers most up-to-date product requirements
Maintains complete logic preservation
Assures full business continuity
From Legacy Systems to Intelligent Manufacturing
From cloud modernization to AI activation, we turn industrial complexity into connected intelligence.
Phase 1: Transformation
– Establish the Core
We help manufacturers transform their on-prem systems and legacy applications into modern, cloud-native infrastructures.
Phase 2: Expansion
– Connect the Parts
Once the foundation is in place, we expand system outward – connecting sensors, machines, and applications into a single flow of data streams.
Phase 3: Intelligence
– Empower the Analytics
With a connected ecosystem in place, the final step is activation – turning signals into decisions, and decisions into action. We build intelligence that learns, adapts, and continuously improves performance.
Why Grape Up?
Cloud-native by design
Our roots in cloud engineering ensure that modernization leads to scalability, interoperability, and continuous delivery.
End-to-end transformation partner
From legacy to cloud, from modernization to AI – we engineer the full nervous system of modern manufacturing.
Bridging legacy and innovation
From refactoring monoliths to deploying MLOps pipelines, we connect what you already have with what the future demands.
AI-ready foundation
Every layer of your system is designed to support intelligence – predictive, generative, and adaptive.
Unlocking Performance and Scalability in Airline Software Through Legacy Modernization
Airline Software
Recovering Critical Knowledge from a Legacy System Through Reverse Engineering and Modernization
Car Rental
Transformation of a Core Mission-Critical Legacy Product
Computer Software
Modernizing Large Order Management Platform to Ensure Regulatory Compliance
Finance
Modernizing Legacy Architecture Drove a Substantial 82% Reduction in Operational Expenses
Automotive
DevOps Enablement and Legacy Modernization
Manufacturing
Check our insights
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Accelerate Your Legacy Modernization: A Guide to GenAI-Powered Application Transformation
Technical debt is an ongoing challenge for most top enterprises, but with the help of Generative AI, addressing it has never been easier.
Our ebook explains how Generative AI accelerates the modernization of legacy systems, explores use cases for AI in the transformation process, analyzes helpful tools, and examines potential risks.
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