European data for
European robots.

greifen was started with a simple observation: humanoid robots are advancing rapidly, but the data needed to train them is becoming the primary bottleneck — not the hardware.

The word greifen is German for "to grasp" or "to reach" — the most fundamental manipulation skill any physical agent needs to learn. It describes both what we capture and what we enable.

We build egocentric motion datasets from real European environments: German households, workshops, warehouses, and care facilities. We annotate them with 21 hand keypoints in 3D, natural language descriptions, and action labels — and deliver them in formats that drop directly into modern Physical AI training pipelines.

Our pipeline is fully local. No cloud annotation services, no third-party data brokers. Every dataset is GDPR-compliant from capture to delivery — with full consent documentation and data lineage records.

greifen is based in Neu-Isenburg, Germany. We work with robotics companies, research institutes, and automotive OEMs across Europe as an equal partner — from scoping to delivery. Reach us at hello@greifen.tech

Belief 01
Real data beats synthetic data.
Simulated environments cannot replicate the noise, variability, and unpredictability of real German industrial floors. The sim-to-real gap is where most robots fail.
Belief 02
Access is the moat.
Anyone can annotate. Not everyone can walk into a Bavarian logistics center with a camera. Physical access to real environments is the competitive advantage that cannot be replicated remotely.
Belief 03
GDPR is a feature, not a burden.
European AI regulation increasingly requires compliant training data. We built compliance into our process from day one — making it a selling point, not an afterthought.
Belief 04
The best data tells a story.
We annotate not just coordinates, but context. Every frame has a natural language description. VLA models need to connect motion with intent — our data enables that.