Building CogniCap in stealth

Robots are getting remarkably good at seeing the world. They can recognize objects, navigate rooms, and describe what is in front of them. What they still cannot do is work: grip, adjust, assemble, clean, repair. The skills that every electrician, cook, and machine operator carries in their hands remain invisible to machine learning, because nobody has turned those skills into data at scale.

That is the gap CogniCap exists to close. We turn real human manual skill into training data for embodied AI: gathered in the field from working professionals, processed, and labeled.

What we offer today

• General-purpose datasets for robotics labs: demonstrations of human manual work, recorded in real environments and delivered ready for training.
• Dedicated data campaigns: when a lab is training a robot for a specific task, we recruit professionals of the relevant trade and run a targeted capture campaign built around that task.
• Audits and skill digitalisation for factories and manufacturers: we assess your automation capabilities, then digitalise the manual skills of your workforce as the foundation for advanced robotic automation.

Why so quiet

We are building in stealth. Our approach involves original engineering work that we intend to protect before we describe it publicly, so this site stays deliberately brief for now. The work itself is anything but quiet: hardware sessions, field recordings, and conversations with robotics teams across Europe.

If any of the above is relevant to what you are building, write to us. We answer every serious message.