Insider Brief
- Smart Robotics has raised €10 million in a Series A round led by Rotterdamse Havendraken, Innovation Industries and family office Ernij Next to expand its AI-driven warehouse automation business across Europe.
- The company said it will use the funding to scale commercial operations and further develop its robotic pick-and-place systems, which are used for item picking and palletizing, with more than 120 systems deployed across 15 countries operating at up to 1,000 picks per hour and about 99.5% uptime.
- Smart Robotics’ platform combines robotics with proprietary AI to handle high product variability in warehouse environments and has surpassed 1 billion successful picks in live production, with real-world operational data driving ongoing performance improvements.
Smart Robotics announced it has raised €10 million in a Series A funding round led by Rotterdamse Havendraken, Innovation Industries and family office Ernij Next, as it looks to expand its AI-driven warehouse automation business across Europe.
The company said it will use the funding to scale commercial operations and further develop its robotic pick-and-place systems, which are used for item picking and palletizing in intralogistics environments. Smart Robotics said it has deployed more than 120 systems across 15 countries and five industries, with systems operating at up to 1,000 picks per hour and about 99.5% uptime.
“Our strength lies in the combination of proprietary AI software, over a decade of hands-on deployment experience in warehouse environments, and a team spanning AI engineering, robotics integration and logistics operations,” noted co-CEO and CTO Heico Sandee. “But what truly sets us apart is the scale of real-world data we have accumulated, enabling us to continuously improve our AI and outperform traditional automation systems.”
Smart Robotics said its platform combines robotics with proprietary AI to handle high product variability in warehouse settings, adding that it has surpassed 1 billion successful picks in live production. The company said the scale of real-world operational data is central to improving system performance and supporting broader adoption of AI-driven automation in logistics.
