Element

Element develops a software platform for modernizing legacy mainframe systems. Its stated architecture consists of three layers. Layer one is the Global Context Engine, described as performing a complete deterministic analysis of a customer's codebase to extract and analyze system infrastructure, data flows, business logic and other parameters; the resulting knowledge is described as format-agnostic and usable by AI agents, system maps and other tools. Layer two, artefact-based transformation, applies that system-wide understanding to enable modernization in modular increments rather than a single large rewrite. Layer three covers built-in compliance and auditability: the company states that each transformation step is deterministic, traceable and documented, producing audit-ready artefacts recording how business logic, data flows and system behaviour change over time.

The company frames its offering as an alternative to the two options it characterizes as prevailing today — "big bang rewrites" and leaving systems in "maintenance mode." Its marketing cites mainframes as handling 80% of bank transactions and 90% of credit card transactions, and argues that institutional understanding of these systems has eroded. Element publishes self-reported benchmark figures of 92% business rule extraction, 100% coverage across the legacy system, a 30% improvement in code generation efficiency and roughly 80% faster delivery and implementation; the site notes some placeholder statistics that are not yet populated.

Founding story

The public sources identify three co-founders but do not describe the founding event. Alexander Wiener (Co-Founder & CEO) is an information systems graduate of TU Munich with experience in COBOL, Assembly and Edge AI who worked on mainframe modernization at a large enterprise. Lukas Marienfeld (Co-Founder & CTO) is described as a serial founder and former CTO at Sphericon with expertise in AI code-generation agents, developer platforms and scaling SaaS products to six-figure revenue. Julian Zeller (Co-Founder & CCO) spent three years as a business consultant at BCG in banking, worked on IT initiatives including mainframe modernizations at German financial institutions, and holds an MBA and a History degree from the University of Oxford.

Business model

Element sells modernization deliverables as discrete artefacts rather than as a long-term engagement. According to the company, legacy systems are transformed module by module with fixed scope and fixed pricing per deliverable, no multi-year lock-in, and customers purchase artefacts as needed while retaining full ownership of the outputs. The site directs prospective customers to "Book a demo" and "Contact Sales."

Fixed-scope, fixed-price per-deliverable (artefact) pricing, with customers buying individual modernization artefacts incrementally instead of committing to multi-year contracts.

Traction

No customers, contracts, revenue or user figures are disclosed in the available sources. The only quantitative claims are self-reported internal benchmarks (92% business rule extraction, 100% legacy system coverage, 30% code generation efficiency improvement, ~80% faster delivery), which the company says it measures to track quality improvement.

Latest developments

No dated announcements, funding rounds or product releases appear in the available sources; the most recent public signal is the live website bearing a 2026 copyright notice.