RobCo applies physical AI and modular hardware to industrial automation. Source: Lightspeed Venture Partners
The new year is bringing fresh funding across the robotics landscape. RobCo GmbH today said it has raised Series C funding of $100 million to advance its physical AI roadmap, expand enterprise deployments, and deepen its presence in the U.S. market.
“With $100 million of additional funding, we will become the dominant AI robotics company for manufacturing in the U.S. and Europe,” stated Roman Hölzl, founder and CEO of RobCo. “This will allow us to execute on our purpose of automating the ordinary, so humans can do the extraordinary.”
Founded in 2020, RobCo said it develops robotic systems that bring learning and autonomy into industrial operations. The Munich-based company said its Autonomous Manufacturing Platform combines modular hardware with a physical AI software stack that enables fast deployment, continuous improvement, and application-specific performance.
RobCo builds full-stack platform for autonomy
RobCo asserted that it “has been vertically integrated from Day 1, developing hardware and software as a single full-stack platform.” The platform combines perception, motion planning, and self-learning methods to enable increasingly autonomous robot operations inside real production environments.
The company said its robots can acquire task-specific skills through demonstration and self-learning rather than manual programming. This allows for rapid deployment and iteration, as well as easier adaptation to complex or variable processes. RobCo claimed that it acts as a “single pane of glass” for customers.
In addition, RobCo said it designed its system “to reduce friction between today’s processes and end-to-end automation, allowing teams to focus less on setting up and maintaining systems and more on their core business processes and value drivers.”
RobCo has expanded into U.S. manufacturing. Source: RobCo
Deployments scale for U.S. enterprises
RobCo delivers its technology through a recurring robotics-as-a-service (RaaS) model, which it said helps companies automate manual tasks while minimizing operational complexity and risk. The company supports a wide range of workflows, including machine tending, palletizing, dispensing, and welding.
Last year, RobCo expanded into the U.S., and it now operates in San Francisco and Austin. The U.S. has become both a strategic priority and a major growth market as manufacturers accelerate automation efforts in response to labor constraints, reshoring initiatives, and rising operational complexity, the company noted.
RobCo added that its robots are deployed across a range of industrial environments, from large global manufacturers such as BMW to companies including DynaEnergetics, Fabricated Extrusion Company, T-Systems, and Rosenberger.
Lightspeed doubles down on industrial robotics
Lightspeed Venture Partners and Lingotto Innovation led RobCo’s Series C round. Other participants included Sequoia Capital, Greenfield Partners, Kindred Capital, Leitmotif, and The Friedkin Group.
“After leading RobCo’s Series B, we’re excited to double down and co-lead this $100 million round,” said Alexander Schmitt, a partner at Lightspeed. “Our bar is exceptionally high, and RobCo has continued to raise the standard for what modern robotics can look like in real-world production.”
“RobCo has what it takes to build a global champion: systems that already deliver in industrial environments today and a platform grounded in physical AI that can scale across use cases and geographies,” he added.
RobCo said its venture capital investors have experience building category-defining technology companies, while its industrial investors use deep connections in industry to back growth companies over the long term.
“Manufacturing is entering a new phase where autonomy will be a decisive advantage,” said Morgan Samet, managing partner and co-head of Lingotto Innovation, an investment management company now owned by Exor. “RobCo stands out because it brings physical AI into real production environments, combining proven deployment today with a clear, step-by-step path toward higher autonomy — allowing learning systems to support people where it matters most on the factory floor.”
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