- INXM has raised €5.7M in pre-seed funding led by Cherry Ventures, with participation from Redstone, Angel Invest, and Linden Capital, to build what it calls the first AI Process Execution Engine for enterprise operations.
- The Berlin-based startup, founded in 2025 by former CDOs of Isar Aerospace and Volocopter alongside veterans of n8n and Thoughtworks, is targeting industrial manufacturers struggling to turn AI-generated workflows into reliable, auditable business outcomes.
- European enterprise AI infrastructure is attracting growing investor attention as organisations move from AI pilots to production deployments and demand repeatability over experimentation.
Enterprises have spent billions on AI. Most of that spending has produced dashboards, copilots, and pilot projects, not reliable production workflows. The gap between AI generating a plan and an enterprise consistently executing one is where INXM was built to operate.
The Berlin-based startup has emerged from stealth with €5.7M in pre-seed funding led by Cherry Ventures, alongside Redstone, Angel Invest, and Linden Capital. The capital will support the commercial rollout of INXM’s flagship product, Orchestrator, and deepen development of its core technology platform.
The founders
INXM was founded in 2025 by Alex Oelling (CEO), Matthias Kainer (CTO), Jesper Bylund, and Kamil Klüber. Oelling previously served as Chief Digital Officer at both Isar Aerospace and Volocopter, where he built the organisational and digital infrastructure behind some of Europe’s most demanding aerospace programmes. Kainer worked alongside Oelling at both companies, building mission control systems, launch orchestration, and cloud-native replacements for legacy operational platforms. The team’s backgrounds also span n8n and Thoughtworks.
“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. We have set out to build AI that finishes the work for you — the system that turns AI from a productivity tool into the operational backbone of European industry,” said Oelling.
What INXM actually does
At the centre of the company’s offering is Orchestrator, built around what INXM calls “Compiled AI.” Rather than allowing an LLM to make real-time decisions throughout an operational process, the agent model attracting much of today’s AI investment, INXM, uses AI to design and optimise execution plans beforehand. Those plans are then executed deterministically, ensuring outcomes remain repeatable, auditable, and compliant with enterprise governance requirements.
“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 Kainer.
The platform integrates with existing ERP, MES, PLM, and quality management systems rather than replacing them, targeting manufacturers, aerospace companies, and logistics operators who cannot afford unpredictable outcomes in production environments.
The investors
“Enterprise AI is stuck in a paradox: the more ambitious the deployment, the less predictable the outcome. INXM has reframed the problem entirely. It’s not about making AI smarter, but making it executable. Compiled AI is a new architectural paradigm, and INXM is the team to define it,” said Filip Dames, Founding Partner at Cherry Ventures.
“Founders who have brought rocket engines and air taxis to production readiness develop a different mindset than most software teams. 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.
“Enterprises do not need more disconnected AI tools. They need AI that can execute governed, repeatable processes across the systems they already use. INXM is building the orchestration layer that makes this possible: connecting enterprise platforms, humans, and AI to run operational workflows with reliability, traceability, and control at scale.” says Jens Lapinski, Founding Partner, Angel Invest.
The competitive landscape
INXM enters a market where several well-capitalised players are building adjacent infrastructure. n8n, the Berlin-based workflow automation platform, raised $180M in a Series C in October 2025 at a $2.5B valuation, and has since received a strategic investment from SAP that pushed its valuation to $5.2B, making it one of Germany’s most valuable AI companies. n8n focuses on connecting applications through visual workflow automation; INXM targets deterministic execution with enterprise-grade governance, putting the two companies in adjacent rather than identical territory.
Parloa, the Berlin-based AI agent platform for enterprise customer service, raised $350M in a Series D in January 2026 at a $3B valuation, tripling in value in under eight months. Parloa operates primarily in contact centre automation rather than industrial operations. LangChain raised $125M in a Series B led by IVP at a $1.25B valuation in October 2025, providing foundational developer infrastructure for AI applications and agents, but focused on developers building new systems, while INXM targets operational teams managing existing ones.
What differentiates INXM is its emphasis on industrial environments and compliance-first, deterministic execution, areas where enterprises remain reluctant to hand control to autonomous AI systems and where the consequences of unpredictable outcomes are measured in operational risk, not inconvenience.
What’s next?
Enterprise AI’s first wave was about generating content. Its second is about deploying agents. The question INXM is betting on is whether the third wave belongs to the execution layer, the infrastructure that makes AI actually finish the work once it starts.