WE BUILD REAL WORLD
INTELLIGENCE.
Dexterity is the hardest problem in robotics.
We solve it.
RLWRLD trains robots to perform precision hand tasks —
using proprietary 4D+ motion capture data
and a frontier foundation model built for the physical world.
The last mile of industrial automation
is the human hand.
Despite decades of progress, 65–75% of the remaining human workforce in advanced manufacturing performs tasks that require fine motor skills.
Robots have conquered precision and repeatability — but not dexterity.
That is the gap we close.
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0 Key Atomic Tasks
Atomic task types covering most industrial dexterity problems
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0 Corporate Engagements
Corporate engagements across manufacturing, logistics & services
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0 DoF Hand Manipulation
Degrees of freedom in hand manipulation — more than any competitor
How we think about building Real World Intelligence.
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01 Industry data is the moat
Real-world skill data collected directly from factory floors — not simulations — is the foundation of every model we ship.
We earn while we learn. -
02 Dexterity first, generalization second
While others chase whole-body locomotion,
we go deep on the hardest unsolved problem: fingers, grasp, and contact-aware control at industrial speed. -
03 Hardware-agnostic intelligence
Our robot foundation model RLDX trains any embodiment — from dexterous hands to full humanoids — through fine-tuning.
We are the intelligence layer. -
04 Long-term partnerships, not pilots
Three-to-five year commitments with enterprise customers in Japan and Korea create a compounding flywheel: more data, better models, stronger partnerships.
Full-stack value chain for physical AI.
RLWRLD sits at the center —
connecting data providers, compute platforms, hardware partners, and enterprise customers into one flywheel.