RLWRLD labored with WIRobotics to develop ALLEX, which it makes use of to check its AI fashions. | Supply: RLWRLD
RLWRLD, a bodily AI startup growing robotic basis fashions for industrial environments, at this time mentioned it has raised $26 million in Seed 2 funding.
This newest spherical brings the Seoul-based firm’s whole seed capital to $42 million, following its $14.8 million Seed 1 spherical in April 2025.
“Our Seed 2 spherical brings RLWRLD nearer to companions who’re actively deploying bodily AI in industrial environments,” mentioned Junghee Ryu, CEO of RLWRLD. “Bodily AI solely issues if it really works on actual job websites. By testing our fashions in a few of the hardest industrial environments, we’re constructing techniques meant for actual operations first—earlier than they ever make sense elsewhere.”
RLWRLD makes use of unpredictability to coach its fashions
In contrast to robotics techniques skilled primarily in clear, managed lab settings, RLWRLD’s fashions are skilled utilizing high-precision, multimodal knowledge collected straight inside actual factories, warehouses, and repair environments.
The corporate mentioned its method exposes the fashions to the unpredictability of reside operations—crowded areas, variable lighting, human interplay, and imperfect circumstances—which might be tough to copy in simulations.
RLWRLD mentioned it plans to make use of large-scale multimodal knowledge, superior AI structure, and international partnerships to create a core intelligence layer for robotics. It mentioned its scalable, multi-sensor system captures advanced demonstrations from numerous industrial settings, producing wealthy knowledge for sturdy, adaptable fashions.
Initiatives progress from MOUs to validation
RLWRLD mentioned it’s executing proof-of-concept and robotics transformation initiatives with enterprise companions throughout logistics, retail, and repair environments in Japan and South Korea. A number of initiatives with main corporations, together with CJ Logistics and Lotte, have progressed from memoranda of understanding (MOUs) into joint industrial validation phases.
As a part of these collaborations, RLWRLD is actively working with a number of strategic traders on joint initiatives that embody utilizing real-world operational knowledge to coach and validate its fashions.
“The way forward for logistics competitiveness relies upon not on fundamental automation, however on AI techniques that may perceive and cause about advanced bodily environments,” mentioned a consultant from CJ Logistics. “Via our collaboration with RLWRLD, we’re working to deploy robotic basis fashions that may be utilized on to reside warehouse operations and speed up the transition towards AI-driven autonomous logistics.”
RLWRLD mentioned it structured its Seed 2 spherical to increase its investor alliance in response to rising demand from enterprise companions in search of on-site validation and long-term collaboration. Contributors included international enterprise agency Headline Asia, Z Ventures (the company enterprise capital arm of Z Holdings, Yahoo Japan–LINE), and Korea Improvement Financial institution.
As well as, strategic traders resembling CJ Logistics, Kakao Funding, Lotte Ventures, Hanwha Asset Administration, and Mirae Asset–Emart Funding Fund participated.
