- INXM has raised €5.7M in pre-seed funding led by Cherry Ventures, with participation from Redstone, Angel Make investments, and Linden Capital, to construct what it calls the primary AI Course of Execution Engine for enterprise operations.
- The Berlin-based startup, based in 2025 by former CDOs of Isar Aerospace and Volocopter alongside veterans of n8n and Thoughtworks, is focusing on industrial producers struggling to show AI-generated workflows into dependable, auditable enterprise outcomes.
- European enterprise AI infrastructure is attracting rising investor consideration as organisations transfer from AI pilots to manufacturing deployments and demand repeatability over experimentation.
Enterprises have spent billions on AI. Most of that spending has produced dashboards, copilots, and pilot initiatives, not dependable manufacturing workflows. The hole between AI producing a plan and an enterprise persistently executing one is the place INXM was constructed to function.
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 help the industrial rollout of INXM’s flagship product, Orchestrator, and deepen improvement of its core expertise platform.
The founders
INXM was based in 2025 by Alex Oelling (CEO), Matthias Kainer (CTO), Jesper Bylund, and Kamil Klüber. Oelling beforehand served as Chief Digital Officer at each Isar Aerospace and Volocopter, the place he constructed the organisational and digital infrastructure behind a few of Europe’s most demanding aerospace programmes. Kainer labored alongside Oelling at each corporations, constructing mission management methods, launch orchestration, and cloud-native replacements for legacy operational platforms. The group’s backgrounds additionally span n8n and Thoughtworks.
“We based INXM as a result of we’ve seen first-hand how enterprise AI initiatives fail: years of implementation, armies of engineers, and AI methods that break greater than they repair. We now have got down to construct AI that finishes the give you the results you want — the system that turns AI from a productiveness software into the operational spine of European trade,” mentioned Oelling.
What INXM really does
On the centre of the corporate’s providing is Orchestrator, constructed round what INXM calls “Compiled AI.” Slightly than permitting an LLM to make real-time choices all through an operational course of, the agent mannequin attracting a lot of at this time’s AI funding, INXM, makes use of AI to design and optimise execution plans beforehand. These plans are then executed deterministically, guaranteeing outcomes stay repeatable, auditable, and compliant with enterprise governance necessities.
“At its core, Compiled AI means you employ LLMs to generate deterministic, enterprise-ready code. You then run the code to realize your end result. This provides you the flexibleness of pure language from AI fashions, however the testability of deterministic code,” mentioned Kainer.
The platform integrates with present ERP, MES, PLM, and high quality administration methods reasonably than changing them, focusing on producers, aerospace corporations, and logistics operators who can’t afford unpredictable outcomes in manufacturing environments.
The traders
“Enterprise AI is caught in a paradox: the extra formidable the deployment, the much less predictable the result. INXM has reframed the issue totally. It’s not about making AI smarter, however making it executable. Compiled AI is a brand new architectural paradigm, and INXM is the group to outline it,” mentioned Filip Dames, Founding Accomplice at Cherry Ventures.
“Founders who’ve introduced rocket engines and air taxis to manufacturing readiness develop a special mindset than most software program groups. They perceive that AI workflow challenges nearly at all times hint again not solely to the fashions themselves, however to brittle integration with day-to-day operations. INXM is constructed by individuals who’ve lived that.” says Michael Brehm, Founding Accomplice, Redstone.
“Enterprises don’t want extra disconnected AI instruments. They want AI that may execute ruled, repeatable processes throughout the methods they already use. INXM is constructing the orchestration layer that makes this potential: connecting enterprise platforms, people, and AI to run operational workflows with reliability, traceability, and management at scale.” says Jens Lapinski, Founding Accomplice, Angel Make investments.
The aggressive panorama
INXM enters a market the place a number of well-capitalised gamers are constructing adjoining 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 acquired a strategic funding from SAP that pushed its valuation to $5.2B, making it considered one of Germany’s most precious AI corporations. n8n focuses on connecting purposes by means of visible workflow automation; INXM targets deterministic execution with enterprise-grade governance, placing the 2 corporations in adjoining reasonably than an identical territory.
Parloa, the Berlin-based AI agent platform for enterprise customer support, raised $350M in a Series D in January 2026 at a $3B valuation, tripling in worth in underneath eight months. Parloa operates primarily involved centre automation reasonably than industrial operations. LangChain raised $125M in a Sequence B led by IVP at a $1.25B valuation in October 2025, offering foundational developer infrastructure for AI purposes and brokers, however centered on builders constructing new methods, whereas INXM targets operational groups managing present ones.
What differentiates INXM is its emphasis on industrial environments and compliance-first, deterministic execution, areas the place enterprises stay reluctant at hand management to autonomous AI methods and the place the results of unpredictable outcomes are measured in operational threat, not inconvenience.
What’s subsequent?
Enterprise AI’s first wave was about producing content material. Its second is about deploying brokers. The query INXM is betting on is whether or not the third wave belongs to the execution layer, the infrastructure that makes AI really end the work as soon as it begins.
