AI-Powered Deep Analysis
Using source code as specification, G.Tx automatically extracts business logic, functional dependencies and test case scenarios. The outcome is structured product documentation with user stories, which lay the foundation for an actionable roadmap for further development.
Design Transformation Strategy
In this phase, we define the target solution and model the transformation strategy in a format optimized for Agentic AI processing. The result is a blueprint for consistent, scalable and automated code transformation.
Generate & Refine Code
Agentic-AI engine generates feature and test code automatically based on pre-designed transformation blueprint. Developer stays in the loop to verify and refined code. G.Tx generates test cases and validation suites from legacy flows to ensure consistent functional behavior and quality production code.
Phased Rollout to Production
G.Tx navigates the process of production rollout —from executing functional, acceptance, and pre-production tests, through validating the solution and integrating with external systems, to the final production launch.
Our Agentic AI engine generates new code automatically, reducing manual effort and improving speed and consistency.
Knowledge Hub with all Project related information – from BRD, through technical design and user guide instructions.
A developer chatbot connected to Project Knowledge Base, capable to answering Developer questions about legacy code, design, dependencies.
An User Guide chatbot connected to Project Knowledge Base, capable to explaining how product works and how to operate it.
Once the approach is proven on a small scope, G.Tx scales quickly to cover wider codebase without repeating manual effort.
Enables transparent, step-by-step AI logic execution, improving predictability and governance of code generation.
Unlike popular code assist tools that focus on micro-contexts, G.Tx is designed to process entire systems or modules.
G.Tx enables precise scoping of context and routes tasks to the right models, reducing token usage, processing time and operational costs.
G.Tx supports bulk processing of large number of files, accelerating delivery across large systems.
Generated code is represented in clear tabular views, easily exportable or modifiable, with workflows that can be reused and adapted for similar logic across domains.
Manufacturing
Automotive
Finance
Car Rental
Computer Software
G.Tx supports any technology stack, programming language, or business process notation. G.Tx generate code in the language of your choice.
G.Tx primarily operates on source code (in any language or format) but can also analyze documentation (PDF, DOCX, images, video), database schemas, and business process or rule definitions in any notation.
G.Tx leverages various LLMs depending on the task, use case, or customer-specific requirements. Both publicly and privately hosted models can be used, based on enterprise policy.
Customers retain full control over what data is processed, where, and how. G.Tx ensures complete transparency, with all data flows clearly defined in collaboration with the customer. All communication with LLMs is encrypted.
No. G.Tx does not train models on customer data. It uses pre-approved models in a way that fully complies with enterprise data policies.
With developer in the loop approach, G.Tx generated code is verified and refined by engineering team. G.Tx understands business flows and generate validation suites for new code, using old code as input – this assures consistent system behavior after transformation.
G.Tx is deployed as service operating either in a public or private cloud environment.
G.Tx is delivered as a modernization service. It requires operation by Grape Up’s expert engineering team to ensure success at scale.