Adaptable skills for robots and machines

Beyond Automation

Intelligent automation

Cutting-edge AI-driven robotics and automation—built for real-world industry needs. We deliver solutions that improve throughput, quality, and uptime.

Higher throughput

More picks per hour, fewer stoppages

Flexible automation

High-mix/low-volume without months of re-programming

Better first-pass yield

Fewer defects and rework

We support industries from automotive and electronics to packaging, repair, logistics, and beyond.

Industry Realities

Real-world is messy

Parts change, object's placement varies, environments are unstructured.

Labor shortages

Aging populations and skill gaps mean fewer operators are available, driving the need for smarter automation.

MAD Robotics develops adaptable intelligence for robots and machines, helping manufacturers ease labor shortages, reduce stoppages, and scale output.

When to Call MAD

High-mix, low-volume work

Deformable or reflective items (cables, bags, textiles, food)

Inconsistent presentation (clutter, lighting, pose)

When other automation breaks, MAD goes further — beyond vision-only AI, our robots see, decide, and act to keep production moving.

Use Cases

Examples where MAD can deliver measurable value:

Bin-picking and kitting with mixed SKUs

Cable routing, bag handling, textiles

Machine tending where parts arrive in varying positions or orientations

Order picking in cluttered/variable lighting

Laboratory workflows with irregular or frequently changing items where rigid fixtures can't be used

Ready for the real world

We are moving beyond lab research into real-world deployments. MAD is seeking early partners to identify the right tasks — starting with high-impact factory use cases. Early adopters benefit from cost savings, while contributing to Europe's competitiveness in the AI century.

Ready to explore a pilot?

Scoped pilot, measured impact. We start small, prove results on your line, then scale together.
Prefer a demo? Get a real look at how our robots perform.