7 October 2026

^{RobCo's Alfie was unveiled at Hannover Messe in April this year}

 

At connectivity manufacturer Rosenberger, changing products on certain machines previously required outside support and sometimes took several days. According to a case study published by robotics supplier RobCo, employees can now handle those changes themselves in a few hours. 

This accurately sums up RobCo’s proposition. For manufacturers making varied products, a robot’s usefulness depends on how readily it can be put to work on the next job.

Investors clearly have faith in RobCo's potential: on 5 October 2026, the Munich-founded company announced a valuation exceeding $1 billion through a transaction combining investment into the business with employee share sales. This follows a $100 million Series C in January, co-led by Lightspeed Venture Partners and Lingotto Innovation.

 

RobCo’s origins and the factory automation problem

 

RobCo was founded in 2020 by Roman Hölzl, Paul Maroldt and Constantin Dresel, who came together in the Technical University of Munich’s robotics and artificial intelligence environment. Hölzl leads the company as chief executive.

Its early offering targeted medium-sized industrial businesses seeking to automate repetitive manual tasks with adaptable hardware and accessible software.

So what does the company focus on now, exactly? Consider a manufacturer producing different components in small batches: the robot may need new gripping tools, adjusted positions, connections to machinery and a revised operating sequence when the job changes. Engineering and downtime can consume the savings from faster handling, especially when each batch is short. RobCo addresses that problem through configurable hardware, visual programming and deployment services. The value lies in making the complete installation easier to adapt, rather than improving arm movement alone.

 

Modular robots and visual programming

 

RobCo’s modular hardware offers different combinations of movement axes, reach and payload. An application transferring parts between fixed positions has different requirements from one reaching around obstacles or approaching a component at an angle. Configuring the equipment around those requirements can avoid using a more elaborate robot than the task needs. Modularity also provides options for adapting hardware as production requirements change.

The software supplies another layer of flexibility. RobFlow lets users build operating sequences from drag-and-drop blocks, while simulation tools help them plan processes virtually. The intended benefit is less dependence on specialist coding for routine changes. Commissioning, safety assessment and connections to surrounding machinery remain part of the installation.

For short production runs, easier programming can change the economics: preparation takes up less of the time in which the equipment could be producing parts. The gain depends on the application, rather than following automatically from a simpler interface.

 

How RobCo’s robotics-as-a-service model works

 

RobCo develops its hardware and software together and offers services covering technical planning, implementation, safety approvals, support and upgrades. Customers can obtain more of their automation package from one supplier.

Its robotics-as-a-service model replaces an upfront equipment purchase with recurring payments. That can lower the initial capital hurdle and make supported automation accessible to manufacturers reluctant to buy a system outright. The trade-off is an ongoing payment obligation and dependence on the supplier’s service and software. 

RobCo names BMW, Rosenberger and DynaEnergetics among its customers.

 

Alfie and the move towards physical AI

 

In April of this year, RobCo announced a strategic expansion of its industrial robotics with Autonomous Alfie at Hanover Messe. With Alfie, the company is moving toward Level 4 autonomy where robots learn, adapt and execute tasks with minimal human intervention.  

RobCo is specifically developing Alfie for tasks involving changing objects, conditions and sequences, including precision assembly, picking and sensitive material handling. The company already describes learning capabilities across its platform; Alfie is intended to extend those capabilities through coordinated two-arm manipulation, perception and adaptation.

This is physical AI: artificial intelligence connected to sensing, decisions and movement in the physical world. A robot might identify a component’s position, choose how to grasp it and adjust its movement, rather than rely entirely on predefined coordinates.

RobCo says Alfie is designed to adapt to new objects and workflows without extensive manual programming. The commercial promise is less preparation when conditions change, extending automation to work that has remained manual.

The test is how consistently that flexibility meets production requirements. Customers will need evidence on successful cycles, human interventions, handling errors and time spent teaching new tasks. A robot that adapts but frequently needs rescue can simply move labour from performing the task to supervising it.

 

Competing on the complete installation

 

RobCo is not alone in simplifying robot deployment. Universal Robots offers graphical programming, integration tools and an AI Accelerator for developing AI-based applications, for example.

Easy programming, AI capabilities and supported commercial arrangements cannot individually establish RobCo’s advantage. Its proposed differentiation is how it combines modular equipment, proprietary software and responsibility for deployment. Customers will judge that package against alternatives on their own production requirements.

A June partnership with printing equipment manufacturer Koenig & Bauer offers another route to market for RobCo. The companies plan to embed robotics within industrial machinery, initially focusing on finishing operations and production systems. Their first customer installation is planned for the first quarter of 2027.

 

Scaling beyond Germany

 

RobCo’s January funding supports physical AI development and US expansion. Its October announcement describes operations serving customers across more than a dozen US states, manufacturing and assembly in Austin, and a laboratory in San Francisco. Hölzl has relocated to the US to lead that expansion.

RobCo’s current proposition is clear: reduce the effort needed to install and change factory automation. Alfie raises the ambition by asking the robot to handle more variation itself. For manufacturers, success would mean fewer hours spent getting automation ready, and more hours in which it earns its place on the production floor.