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INXM, a
Berlin-based startup developing AI-powered process automation technology for
enterprise and industrial operations, has raised €5.7 million in a pre-seed
funding round as it emerges from stealth. The round was led by Cherry Ventures
and Redstone, with participation from Angel Invest, Linden Capital and other
business angels.
Many
organisations continue to face challenges when deploying AI within operational
workflows. While AI systems can generate useful outputs, they often lack the
consistency, auditability and reliability required for business-critical
processes, particularly in environments that depend on complex workflows,
legacy software and strict compliance requirements.
INXM was
founded by Alex Oelling, Matthias Kainer, Jesper Bylund and Kamil Klüber to
address the gap between AI-generated insights and reliable operational
execution. The founding team previously worked on enterprise systems in sectors
including aerospace and deep technology, where they experienced the operational
challenges associated with deploying AI in complex environments.
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.
The
company has developed what it describes as a Process Execution Engine based on
a concept it calls “Compiled AI.” Rather than relying on large
language models to interpret and execute every task in real time, the platform
uses AI to design and refine operational workflows, which are then executed
through deterministic processes intended to deliver repeatable and auditable
outcomes.
The
platform’s orchestration layer coordinates activities across enterprise
systems, employees and workflows, enabling organisations to automate processes
while maintaining greater predictability and oversight.
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,
explained Matthias Kainer, CTO of INXM.
According
to the company, the platform is designed to integrate with existing enterprise
infrastructure rather than replace it, helping organisations automate processes
without large-scale system overhauls. INXM says its approach is particularly
suited to industrial operations, where process complexity, limited engineering
resources and compliance requirements often make AI adoption more challenging.
Built
and deployed in Europe, the platform is designed to support the data
governance, compliance and deployment requirements of European enterprise
customers.
The
funding will support INXM’s initial enterprise deployments and the continued
development of its platform, which is designed to automate and execute complex
business processes across industrial and enterprise environments.