
Dream Machines
Dream Machines develops robotic AI that lets manufacturing SMEs automate variable, repetitive workbench tasks by teaching robots through demonstration. The system learns directly from operators, works overnight, and improves with each shift, enabling production to scale with expertise rather than headcount. The first product targets semi-structured tasks like PCB testing, battery slotting, and quality control.
- Artificial Intelligence
- Hardware
- Industrial Automation
- Manufacturing / Industry 4.0
- Robotics
Funding
Founders
Product
Problem
European manufacturing SMEs rely on skilled operators for variable, repetitive workbench tasks that are essential but too inconsistent for traditional automation. With labor scarce, costs rising, and experienced operators retiring, these companies struggle to scale production without proportional increases in headcount.
Solution
Dream Machines provides robotic AI packaged as a full solution that integrates into existing workstations and learns directly from operators through demonstration. Instead of programming every movement, the person who knows the task best demonstrates it, and the robot learns overnight, clocks in the next morning, and keeps improving from its own experience with every shift it works. When products or processes change, the automation is updated the same day through new demonstrations. The system focuses on semi-structured tasks such as PCB testing, battery slotting, machine tending with variable parts, picking and sorting irregular objects, and quality control—critical work that rarely defines strategic advantage but is exactly where intelligent robotics creates leverage.
Target Audience
Primary customers are European manufacturing SMEs with a few hundred employees that are global leaders in niche markets and need to automate variable, repetitive workbench tasks without hiring robotics specialists.
Features
- Demonstration-based learning that captures operator expertise without requiring programming skills
- Overnight training cycle that prepares the robot for the next workday automatically
- Continuous improvement from the robot's own operational experience on each shift
- Same-day reconfiguration through new demonstrations when products or processes change
- Full-solution integration into existing workstations without external integrators
- Targeting of semi-structured tasks like PCB testing, battery slotting, machine tending, pick-and-sort, and quality control