RLWRLD

• 2026-02-25 - Seed 2 - $26M - RLWRLD raises $26M Seed 2, taking total funding to $41M

  source: globenewswire.com

• 2025-04-14 - Seed - $14.8M - RLWRLD raises KRW21B seed round for robotics foundation models

  The company completed a financing round to advance its robotics or autonomy programme. - source: prnewswire.com

• ANA Holdings - Participant - Angel / Individual - 1 funding event - first seen 2025-04-14
• CJ Logistics - Participant - Strategic Industrial - 1 funding event - strategic/corporate - first seen 2026-02-25
• Global Brain - Participant - VC - 1 funding event - first seen 2025-04-14
• Hanwha Asset Management - Participant - Unknown - 1 funding event - first seen 2026-02-25
• Hashed - Lead - Unknown - 1 funding event - first seen 2025-04-14
• Hashed Ventures - Participant - VC - 1 funding event - first seen 2026-02-25
• Headline Asia - Participant - Angel / Individual - 1 funding event - first seen 2026-02-25
• Hyosung Ventures - Participant - VC - 1 funding event - first seen 2026-02-25
• Kakao Investment - Participant - Angel / Individual - 1 funding event - first seen 2026-02-25
• KDDI - Participant - Unknown - 1 funding event - first seen 2025-04-14
• LG Electronics - Participant - Corporate / CVC - 1 funding event - strategic/corporate - first seen 2025-04-14
• Lotte Ventures - Participant - VC - 1 funding event - first seen 2026-02-25
• Mirae Asset Venture Investment - Participant - VC - 1 funding event - first seen 2025-04-14
• Mirae Asset-Emart Investment Fund I - Participant - VC - 1 funding event - first seen 2026-02-25
• Mitsui Chemicals - Participant - Angel / Individual - 1 funding event - first seen 2025-04-14
• Shimadzu - Participant - Unknown - 1 funding event - first seen 2025-04-14
• SK Telecom - Participant - Corporate / CVC - 1 funding event - strategic/corporate - first seen 2025-04-14
• Smilegate Investment - Participant - Angel / Individual - 1 funding event - first seen 2026-02-25
• T Investment - Participant - Unknown - 1 funding event - first seen 2026-02-25
• Z Venture Capital - Participant - VC - 1 funding event - first seen 2026-02-25

• Jung-Hee Ryu - Founder and CEO - Ryu leads RLWRLD's physical-AI foundation-model business.

• RLWRLD coauthors FRED world-action model with released checkpoints

  2026-10-21 - Research Publication - Action prediction uses future representations from one denoising step rather than iterative video generation. Physical Franka Research 3 experiments use a Robotiq 2F-85 gripper; OpenArm experiments test human–robot co-training. Released training and evaluation code accompanies 5B and 14B DROID checkpoints and a 5B RoboCasa checkpoint.

  Source
• RLWRLD-coauthored VPM jointly models video and 3D point motion

  2026-10-20 - Research Publication - The initial VPM-Data release provides 10,000 simulation clips across tabletop manipulation and urban dynamics. VP-WorldBench evaluates forecasting across simulated and real settings; public implementation code accompanies the work. Point supervision improves the action-enabled model’s manipulation success in the authors’ simulated and DROID real-robot tests.

  Source

Events

• 2026-10-21 - Research Publication - RLWRLD coauthors FRED world-action model with released checkpoints

  Action prediction uses future representations from one denoising step rather than iterative video generation. Physical Franka Research 3 experiments use a Robotiq 2F-85 gripper; OpenArm experiments test human–robot co-training. Released training and evaluation code accompanies 5B and 14B DROID checkpoints and a 5B RoboCasa checkpoint.

  Source
• 2026-10-20 - Research Publication - RLWRLD-coauthored VPM jointly models video and 3D point motion

  The initial VPM-Data release provides 10,000 simulation clips across tabletop manipulation and urban dynamics. VP-WorldBench evaluates forecasting across simulated and real settings; public implementation code accompanies the work. Point supervision improves the action-enabled model’s manipulation success in the authors’ simulated and DROID real-robot tests.

  Source
• 2026-10-08 - Demonstration - RLWRLD plans public robot-serving trial in Otemachi

  The trial is scheduled for October 15–16 on Otemachi Nakadori during WELLNESS WEEKS. Robots will use the RLDX-1 foundation model; empty containers will be collected from designated table positions. RLWRLD will provide the robots and handle prechecks, monitoring and safety; Mitsubishi Estate supplies the venue and TMIP coordinates the programme.

  Source
• 2026-09-18 - Partnership - RLWRLD and CJ Logistics deepen logistics Physical AI partnership

  CJ Logistics will define automation requirements and performance criteria using operating data from parcel, fulfilment and cold-chain workflows. RLWRLD will lead development of the robot foundation model and Physical AI software, including perception and action across multimodal sensor inputs. Planned field validation includes parcel-orientation work and collection of precise hand-motion data before broader picking, sorting and inspection use.

  Source
• 2026-09-03 - Deployment - CJ Logistics deploys two humanoids in Olive Young fulfilment

  The robots insert cushioning material into shipping boxes during packing. The live system combines ROBOTIS hardware, Aidin Robotics hands and RLWRLD robot foundation-model technology. CJ plans to extend the programme toward picking, sorting, inspection and additional packing work; those tasks remain planned rather than deployed.

  Source
• 2026-05-15 - Deployment - RLWRLD uses MANUS gloves in industrial dexterity data collection

  The programme records real work such as textile folding, warehouse handling and convenience-store tasks. The gloves capture finger articulation for teleoperation, simulation or dataset-collection pipelines. RLWRLD described a data-collection workflow without publishing purchase volumes or supplier exclusivity.

  Source
• 2026-05-07 - Product Launch - RLWRLD launches RLDX-1 foundation model for five-finger robotic hands

  RLWRLD unveiled RLDX-1 as a dexterity-first robotics foundation model for high-degree-of-freedom robot hands. The model is designed for dexterous manipulation across single-arm, dual-arm, and humanoid embodiments, including systems equipped with five-finger robotic hands. RLDX-1 processes vision, language, motion, memory, torque, and tactile signals through a Multi-Stream Action Transformer architecture for contact-rich manipulation tasks.

  Source
• 2026-02-25 - Funding - RLWRLD raises $26M Seed 2, taking total funding to $41M

  Seed round; total funding $41M (Seed 1 ~$15M, Seed 2 ~$26M) Investors: Headline Asia, Z Venture Capital, CJ Logistics, Kakao Investment, Lotte Ventures, Hanwha Asset Management, Mirae Asset – Emart Investment Fund I, Hyosung Ventures, Smilegate Investment, T Investment, Hashed Ventures Strategic investors (CJ, Lotte, etc.) provide deployment environments; RLWRLD trains in real factories and warehouses

  Source
• 2025-11-26 - Partnership - RLWRLD partners with Microsoft to accelerate industrial robotics AI development and deployment

  RLWRLD entered a partnership with Microsoft centered on Azure for robotics AI model development and scaling The collaboration includes joint proof-of-concept work and commercialization efforts across manufacturing, logistics, retail, and hospitality in Asia RLWRLD contributes robotics AI capabilities and industrial datasets while Microsoft provides cloud infrastructure, enterprise tooling, and go-to-market support

  Source
• 2025-08-18 - Product Launch - WIRobotics unveils ALLEX upper-body humanoid platform

  The 15-degree-of-freedom hand responds to forces as small as 100 gram-force without tactile sensors. One hand can carry more than three kilograms across the workspace. A strategic partnership with RLWRLD will develop the robot’s intelligence.

  Source
• 2025-04-14 - Funding - RLWRLD raises KRW21B seed round for robotics foundation models

  Hashed led the round, with Mirae Asset Venture Investment and Global Brain participating. Strategic backers named by RLWRLD included LG Electronics, SK Telecom, KDDI, ANA Holdings, Mitsui Chemicals and Shimadzu. The company described the financing as approximately $15 million; contemporaneous reporting calculated about $14.8 million.

  Source

Relationships

• Microsoft

  Technology Partner - RLWRLD works with Microsoft on Azure compute, Microsoft Research collaboration and industrial robotics AI commercialization.

• CJ Logistics

  Logistics Robot Foundation Model And Physical AI Partner - CJ Logistics and RLWRLD jointly develop and validate logistics-specific robot foundation models and Physical AI for commercial services.

• WIRobotics

  Allex Intelligence Development - WIRobotics and RLWRLD collaborate on developing intelligence for the ALLEX humanoid platform.

Comparable profiles

• Physical Intelligence

  comparable profile - Robot Foundation Model Developer

• ACE Robotics (大晓机器人)

  comparable profile - Robot Foundation Model Developer

• Saturn Dynamics

  comparable profile - Robot Foundation Model Developer

• XIRRA

  comparable profile - Robot Foundation Model Developer

• Dream Labs

  comparable profile - Robot Foundation Model Developer

Shared workflows

• Tianyuanxing (天元兴)

  workflow adjacency - Industrial Embodied Control

• Palladyne AI Corp.

  workflow adjacency - Industrial Embodied Control

• SEEN·E Robotics / 深诣机器人

  workflow adjacency - Industrial Embodied Control

Context tags

• Dexterous manipulation - Capability - RLWRLD presents RLDX-1 as a dexterity-first foundation model for five-finger robot manipulation and industry tasks: https://www.rlwrld.ai/en
• Robot foundation model developer - Peer Group - RLWRLD presents RLDX-1 as a dexterity-first foundation model for five-finger robot manipulation and industry tasks: https://www.rlwrld.ai/en
• Embodied foundation model developer - Stack Layer - RLWRLD presents RLDX-1 as a dexterity-first foundation model for five-finger robot manipulation and industry tasks: https://www.rlwrld.ai/en
• Industrial embodied control - Workflow - RLWRLD presents RLDX-1 as a dexterity-first foundation model for five-finger robot manipulation and industry tasks: https://www.rlwrld.ai/en
• Humanoid robot control stack - Stack Layer - RLWRLD presents RLDX-1 as a dexterity-first foundation model for five-finger robot manipulation and industry tasks: https://www.rlwrld.ai/en