MATOVO / PHYSICAL AIDATA PILOTS · ROBOTICS R&D
INTELLIGENCE, FROM THE GROUND UP

THE NEXT CHAPTER
OF REAL-WORLD WORK.

Construction expertise. Structured data.
A measured path toward capable robots.

Explore the vision ↗︎
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01 / THE FOUNDATION

Skill is physical.
Intelligence should be, too.

A precise movement. The right tool. A decision shaped by the site. We are building a way to turn professional construction knowledge into structured demonstrations for embodied AI research.

Our approach ↗︎
v2-capture-mobile.webp">Illustrative MEP technician with a visible helmet camera working on a support assembly
02 / LEARN FROM EXPERTISE

REAL WORK.
RICHER CONTEXT.

First-person video, commercial IMUs and available tool signals.
Collected with clear notice and informed authorization.

Build a field partnership ↗︎
03 / A CONNECTED PIPELINE

The details make
the difference.

01

Capture

Commercial action cameras and IMUs, with site-safety review and worker participation.

02

Synchronize

A common timeline, calibration versions and checks for missing or drifting signals.

03

Review & deliver

Task annotations, quality evidence and an agreed license, packaged with provenance.

Inspect the dataset format ↗︎
AI concept of a proposed ceiling drilling robot, not real hardware
04 / THE RESEARCH HORIZON

BUILT FOR THE TASK.
VALIDATED IN STAGES.

Mobility. Lift. Localization. Supervised drilling and dust extraction.
A development path, not a production claim.

See the development path ↗︎
05 / MOVE FORWARD, TOGETHER

The field and the lab.
Closer together.