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, right this moment stated it has raised $26 million in Seed 2 funding.
This newest spherical brings the Seoul-based firm’s complete 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,” stated 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 programs 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 programs educated primarily in clear, managed lab settings, RLWRLD’s fashions are educated utilizing high-precision, multimodal knowledge collected instantly inside actual factories, warehouses, and repair environments.
The corporate stated its method exposes the fashions to the unpredictability of reside operations—crowded areas, variable lighting, human interplay, and imperfect circumstances—which can be tough to copy in simulations.
RLWRLD stated 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 stated its scalable, multi-sensor system captures complicated demonstrations from various industrial settings, producing wealthy knowledge for sturdy, adaptable fashions.
Tasks progress from MOUs to validation
RLWRLD stated 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 firms, 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 buyers on joint initiatives that embrace utilizing real-world operational knowledge to coach and validate its fashions.
“The way forward for logistics competitiveness relies upon not on primary automation, however on AI programs that may perceive and motive about complicated bodily environments,” stated 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 stated it structured its Seed 2 spherical to develop its investor alliance in response to rising demand from enterprise companions looking for on-site validation and long-term collaboration. Members included international enterprise agency Headline Asia, Z Ventures (the company enterprise capital arm of Z Holdings, Yahoo Japan–LINE), and Korea Growth Financial institution.
As well as, strategic buyers resembling CJ Logistics, Kakao Funding, Lotte Ventures, Hanwha Asset Administration, and Mirae Asset–Emart Funding Fund participated.
