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Arbio Raises $36 Million in Series A to Build the Future of Autonomous AI Systems

Arbio, a Berlin-based artificial intelligence startup, has successfully raised $36 million in Series A funding to advance its mission of developing autonomous AI-driven automation systems that help businesses operate at scale without human bottlenecks. The funding round was led by Eurazeo, with participation from OpenOcean, Atlantic Labs, and prominent angel investors including Philipp Freise, Justin Reizes, Johannes Reck, Tao Tao, Din Bisevac, and others.

This fresh capital will be used to expand Arbio’s product capabilities, scale its research team, and deepen its footprint in enterprise automation  -  a rapidly growing sector where AI is evolving from a tool into a fully collaborative digital workforce.


Redefining Automation in the AI Era

For years, automation was synonymous with static workflows and rule-based systems. But as enterprises face unprecedented complexity  -  from real-time data processing to global compliance  -  the next wave of innovation demands something more adaptive.

That’s where Arbio steps in.

Founded by Constantin Schröder, Arbio is pioneering autonomous automation, an evolution of traditional AI where systems can observe, learn, and optimize themselves in real time without constant manual intervention.

The company’s platform integrates across data pipelines, CRM systems, and business operations, identifying inefficiencies and self-correcting processes on the fly. In other words, it doesn’t just automate  -  it thinks.

“We’re building AI systems that don’t just execute instructions, but understand intent,” said Constantin Schröder, Founder and CEO of Arbio. “The future of work isn’t about replacing humans  -  it’s about creating AI collaborators that evolve alongside them.”

This marks a profound shift in how organizations deploy AI. Instead of requiring armies of data scientists or RPA engineers, Arbio enables companies to deploy adaptive automation models that continuously improve with use.


From Reactive to Proactive Intelligence

Most enterprise AI systems today remain reactive  -  they respond to inputs but rarely anticipate outcomes. Arbio’s self-learning algorithms are designed to bridge that gap by predicting operational patterns before inefficiencies occur.

Using reinforcement learning and contextual data mapping, the platform enables:

This proactive AI approach has applications in everything from supply chain management to customer engagement, creating the foundation for fully autonomous digital enterprises.


A Strategic Lesson: Building Invisible Intelligence

What makes Arbio’s journey remarkable isn’t just its technology  -  it’s the philosophy driving it.

In a space dominated by bold claims and visible products, Arbio’s focus is on invisible infrastructure  -  the intelligence that quietly powers how organizations think and act behind the scenes.

For founders, this highlights a deeper truth about where AI is headed: the real disruption doesn’t always happen on the surface  -  it happens in the systems that no one sees.

The companies of the future won’t just use AI to augment workflows; they’ll use it to build self-improving organizations. Arbio is positioning itself as the “autonomic nervous system” for enterprise intelligence  -  the unseen force that keeps business operations agile, informed, and alive.

That’s a fundamental shift in thinking: AI not as a plugin, but as the organizing principle of modern enterprise.


Investors Backing a New Automation Frontier

The Series A round’s investor mix reflects the strategic alignment between deep-tech capital and enterprise-scale opportunity.

Together, they’re betting on Arbio’s ability to redefine automation’s role in the enterprise stack.


Market Outlook: The Age of Autonomous Operations

According to Gartner, global spending on AI-powered automation will exceed $320 billion by 2030, with over 70% of enterprises expected to adopt some form of self-learning automation in their operations by 2028.

Simultaneously, McKinsey reports that companies implementing adaptive automation see productivity gains of up to 40%, while reducing operational costs by 25–30%.

Arbio’s platform directly addresses this accelerating trend by offering a scalable, enterprise-grade AI infrastructure that continuously optimizes workflows without compromising compliance or transparency.

With the increasing need for operational resilience, data-driven decision-making, and cross-border scalability, Arbio’s technology fits perfectly at the convergence of automation, autonomy, and accountability.


The Road Ahead

With its $36 million Series A, Arbio plans to accelerate global hiring, expand its R&D capabilities in contextual AI learning, and deepen partnerships with Fortune 500 enterprises already piloting its technology.

The company is also developing an open integration framework, enabling developers to connect Arbio’s intelligence layer directly with popular enterprise systems like SAP, Salesforce, and Workday  -  effectively turning every business application into an autonomous, self-optimizing environment.

“Our mission isn’t just to automate processes,” Schröder emphasized. “It’s to enable organizations to evolve  -  continuously, intelligently, and autonomously.”

Arbio’s long-term vision is clear: to become the default AI backbone for enterprise autonomy, creating a world where organizations don’t just operate  -  they adapt.


A Future Built on Intelligent Collaboration

The funding round represents more than capital; it’s a signal of the next big wave in AI  -  autonomous collaboration.

In this new paradigm, businesses won’t just use AI to support workflows but to co-create strategy, forecast outcomes, and navigate complexity in real-time. Arbio’s technology sits right at the center of this shift, building the intelligence that quietly empowers the future of work.

With the backing of some of Europe’s top investors and a world-class leadership team, Arbio is poised to lead the transition from traditional automation to adaptive autonomy  -  the next great leap in enterprise evolution.


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