Assessment
Our platform uses the Global Context Engine to generate a central system context from legacy system, upon which all further modernization discussions are built.
Additionally we define a robust scope for a Proof of Value on this.

The Global Context Engine is the heart of Element. Based on a complete deterministic analysis of your codebase, we extract and analyze the System Infrastructure, Data Flows, Business Logic and other parameters as a foundation for the transformation. This knowledge is format agnostic and can be used for AI agents, maps, and other tools to unlock and Harness the knowledge in your system.

The biggest advantage of having a holistic understanding of your mainframe is the ability to tackle a modular, less-risky, and more transparent approach to modernization. That gives you the ability to execute your modernization in small steps, and not one big leap that often fails.

Every transformation step is deterministic, traceable, and fully documented. We generate audit-ready artefacts that capture how business logic, data flows, and system behaviour evolve. Organizations gain full transparency into what changed, why it changed, and how it impacts the system. No blind spots. No surprises. No uncontrolled risk.
Our platform uses the Global Context Engine to generate a central system context from legacy system, upon which all further modernization discussions are built.
Additionally we define a robust scope for a Proof of Value on this.

The modernization of a subsystem guarantees the sustainable success of a comprehensive modernization and provides planning certainty. It also shows our quick time to value and gives you the ability to understand what your organization would look like after a modernization.

Element transforms legacy systems module by module, with fixed scope and fixed pricing for each deliverable. There is no multi-year lock-in. Organizations purchase the artefacts they need, when they need them, and retain full ownership of the outputs.


We don't just want to build tools that feel good, but also benchmark them diligently to see how we can increase quality every day.
Business rule extraction
Coverage across your legacy system
Improvement in Code Generation Efficiency
Faster Delivery and Implementation

Serial founder and former CTO at Sphericon. Expert in building AI code-generation agents, developer platforms, and scaling SaaS products to 6-figure revenue.

Information Systems graduate from TU Munich with deep experience in COBOL, Assembly, and Edge AI. Worked on Mainframe Modernization at a large enterprise.