KINEMOR / PHYSICAL AI DATA

Teach machines how work gets done.

Kinemor turns consented, multimodal observations into the structured evidence teams use to build robots for the real world.

01 Ground truth
02 Structured context
03 Model behavior

WHAT WE DO

Capture the reality robots need to learn from.

The most capable robots need more than visual labels. They need accountable records of people, places, objects, motion, sound, and consequence.

Kinemor makes that evidence usable for the teams building the next generation of machines.

A DATA SYSTEM, NOT A DATA DROP

Every collection should become a learning system.

Move through the layers. The system keeps the context that makes physical AI useful.

DATA PROGRAM / 01 ACTIVE
VISION / AUDIO / MOTIONTRACE / 04
01

VISION / AUDIO / MOTION

Capture

Consented observations of real work, movement, and environment - collected with the context intact.

02

METADATA / QA / PROVENANCE

Curate

Quality systems make every moment searchable, accountable, and ready for rigorous evaluation.

03

EVALUATION / LEARNING / INSIGHT

Compound

Structured evidence becomes a durable learning asset for models that must reason before they act.

BUILT FOR THE HARD PART

Data worthy of systems that will work beside people.

Kinemor is designed around the details that determine whether a dataset becomes a durable advantage: quality, consent, context, and operational trust.

01

Clear contributor consent and data governance

02

Multimodal context, not isolated annotations

03

Traceable provenance from capture to training

04

Quality evaluation that improves with every collection

CONNECT WITH KINEMOR

Tell us what you are trying to build.

We are building data programs for teams working on physical intelligence. Tell us where you need real-world evidence, and we will get back to you.

DATA PROGRAMSRESEARCH PARTNERSHIPSCAPTURE OPERATIONS