Agency-Driven IT Modernization with exxfer

exxfer combines software analysis, domain-specific context understanding, and agent-based AI to understand existing applications more quickly, reliably evaluate modernization options, and implement targeted transformations.

Book a demo

The Digital Twin for Fast, High-Quality Modernization

Before applications can be modernized, they must be understood.

In legacy systems, knowledge is often scattered across code, documentation, databases, and teams. A lack of context makes decision-making difficult and limits the usefulness of AI agents.

exxfer reveals these connections and unlocks the knowledge needed for successful modernization projects.

We accelerate complex agent-based work on existing software

Understand

Understand applications from a technical and domain-specific perspective, including architecture, processes, dependencies, and business logic
Decide

Evaluate modernization options and establish a plan, including risks, target architecture, effort, and roadmap
Transform

Modify code with greater precision and reliability, including refactoring, migration, documentation, and test generation

Where exxfer Adds Value

Understanding Complex Systems

Gain a solid understanding of systems in days rather than weeks through transparent insights into technologies, applications, and business processes. exxfer uses agent-based analysis workflows to make distributed knowledge available in a structured way.
Planning Modernization Based on Data

Reliable decision-making foundations for evaluating modernization options and developing a targeted roadmap. Agent-based assessments help systematically evaluate business, architectural, and monolithic perspectives.
Modify the code precisely

A shared knowledge base for experts and AI agents enables faster results, greater reliability, and higher quality. Agent-based workflows support refactoring, migration, documentation, and test generation.
Address Risks & Streamline Maintenance

Greater transparency into hotspots, bottlenecks, and critical dependencies. exxfer helps teams reconstruct and consolidate documentation and tests, making them usable for further modernization. This not only makes risks visible but also allows them to be addressed in a targeted manner.

Not Just Another Dashboard to Tuck Away in a Drawer

Book a demo

Proven in real-world projects

Faster with exxfer + Coding Agent vs. Coding Agent alone

Automotive · C++ → Java
Cost Savings Through AI-Based Modernization

Insurance · AS/400 → Java
Lines of Code Automatically Analyzed and Modeled

Insurance · Modernization Planning

EXTRACT DATA, INFER MEANING

Extract & Enrich

exxfer collects data from various areas of legacy IT systems. This includes information from source code repositories, databases, and ticket systems—a true snapshot of the systems’ current state.

The comprehensive extraction process captures all relevant data needed to identify opportunities for improvement. The next step: structured data organization and storage—the key to efficient analysis and processing.

Infer & Visualise

exxfer transforms data into meaningful visual representations—a crucial step that enables decision-makers and technical teams to gain insights quickly and identify opportunities for improvement.

To do this, we use various visualization techniques: charts, graphs, or heat maps, for example. Advanced analytics tools help identify patterns and correlations in the data that would not be immediately apparent from the raw data alone.

exxfer helps successfully modernize IT systems and achieve better business results.

Reference Projects

Insurance

Data-Driven Modernization Roadmap for a Legacy Asset Management System.

Outcome-Driven Roadmap + Target Architecture
Insurance

Risk Assessment for a Strategic Modernization Initiative. Comprehensive analysis of 22 million lines of code.

Robust Risk Identification and Roadmap
Financial Services

Migration of a mainframe order management system to a modern microservices architecture.

20 abgegrenzte Kontexte, 4 Teams synchronisiert
Automotive

Analysis of a C++ monolith with over 900,000 lines of code and 2,000 pages of documentation. exxfer validated the modernization plan and supported the migration of a microservice to Java, including test and documentation generation.

40% more efficient with exxfer Coding Agent compared to Coding Agent alone
Insurance - Real Garant

Migration of an AS/400 system (1.6 million LOC) to Java. AI handles 40% of the code transformation.

30% cost savings, functional equivalence
Financial Services

Enterprise Architecture for an Automotive Bank Following Portfolio Splitting. COBOL/C Modernization.

New Target IT Landscape, Legacy System Phase-Out