Berlin’s INXM emerges from stealth with €5.7 million to build AI process execution engine for enterprises
INXM, a Berlin-based startup developing an AI process execution engine for enterprise and Mittelstand operations, announced it has closed a €5.7 million pre-Seed funding round as it exits stealth mode.
The round was led by Cherry Ventures and Redstone, with participation from Angel Invest and other business angels such as Linden Capital. With this funding, the company plans to power its first enterprise deployments.
“We founded INXM because we’ve seen first-hand how enterprise AI projects fail: years of implementation, armies of engineers, and AI systems that break more than they fix. Knowledge workers still copy-paste between ERP, PLM, Excel, email, and approval workflows to close a month. We have set out to build AI that finishes the work for you. We’re building the system that turns AI from a productivity tool into the operational backbone of European industry and its processes,” said Alex Oelling, CEO of INXM.
Founded in 2025 by Oelling, Matthias Kainer, Jesper Bylund, and Kamil Klüber, INXM claims to build the first process execution engine for enterprises using compiled AI. Compiled AI is a new architectural principle: use AI to design and improve processes (so-called Plans at INXM) and then run them deterministically, which then combines the flexibility of intelligence with the reliability of execution, the company explained.
It further states that the INXM Orchestrator turns user intent into executable Plans, coordinates work across systems, people, and processes to produce repeatable, auditable outcomes through deterministic executions every time. Instead of asking an LLM to interpret every transaction at runtime,
Orchestrator uses AI to help create and improve the Plan. The process execution engine runs it, giving operations teams the predictability they need and compliance teams the audit trail they require.
“At its core, Compiled AI means you use LLMs to generate deterministic, enterprise-ready code. You then run the code to achieve your outcome. This gives you the flexibility of natural language from AI models, but the testability of deterministic code,” said Matthias Kainer, CTO of INXM.
The company emphasises that INXM is not just another costly tool meant to replace existing systems or record-keeping infrastructure, nor does it require a fortune or years to implement. Instead, it coordinates a company’s technology stack to enable collaboration, allowing processes to be reliably automated within a few months.
“Founders who have brought rocket engines and air taxis to production readiness develop a different mindset than most software teams. They’ve seen firsthand what it takes to achieve greatness under real conditions — the grit, rigour, and relentless iteration required when systems are pushed to their limits. They understand that AI workflow challenges almost always trace back not only to the models themselves, but to brittle integration with day-to-day operations. INXM is built by people who’ve lived that,” says Michael Brehm, Founding Partner, Redstone.
INXM also asserts that it is built in Europe, with full data ownership and local deployment, designed for the compliance and governance requirements of European enterprise customers.
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