Who is the CEO of RLWRLD?

Jung-hee Ryu is the CEO of RLWRLD. The company was founded in 2024.

What funding stage is RLWRLD at?

RLWRLD is currently at the Seed stage.

How many employees does RLWRLD have?

RLWRLD has approximately N/A employees.

RLWRLD

A Physical AI startup developing Robotics Foundation Models (RFM) that enable robots to achieve human-level dexterity and cognitive abilities through five-fingered hand manipulation and real-world sensor perception. RLWRLD was founded in 2024. The company is led by Jung-hee Ryu. Based in San Francisco, United States (HQ after corporate flip), with offices in Seoul, South Korea and Tokyo, Japan. Team size: N/A. Total funding raised: $41.0M. Latest round: Seed. Key investors include Hashed, FutureAsset Venture Investment, Global Brain, LG Electronics, SK Telecom, DRB Dongil, ANA Holdings, KDDI, Mitsubishi Chemical, Shimadzu, Microsoft, NVIDIA, AWS, Headline Asia, Z Venture Capital, CJ Logistics, Lotte Ventures, Hanwha Asset Management, Mirae Asset - E-mart Investment Fund I, Hyosung Ventures, Smilegate Investment, T Investment.

Founded: 2024
Headquarters: San Francisco, United States (HQ after corporate flip), with offices in Seoul, South Korea and Tokyo, Japan
Team size: N/A
Total funding: $41.0M

Value proposition

Enables robots to see, think, and use their hands like humans by training foundation models on real-world sensor data and industrial workflows, addressing labor crises in manufacturing and logistics while achieving five-finger dexterity capabilities not yet demonstrated by competitors like Tesla, Figure AI, and 1X.

Products and solutions

RLDX-1 (Robotics Foundation Model) - dexterity-first foundation model for robot hands (open-sourced), Five-finger robot hand manipulation system for humanoid robots, Real-world sensor data processing and cognition platform, Vision-Language Model (VLM) integration for robot control optimization, DexBench - NVIDIA-collaborative open benchmark for humanoid dexterity (Isaac Lab-Arena), All Hands Up! - open platform comparing multi-joint robot hand performance, Next-generation reference humanoid robots (co-developed with WIRobotics ALLEX)

Unique value

Focuses exclusively on Physical AI models trained on real-world sensor data, robotic systems, and industrial workflows from East Asia's top manufacturing ecosystems—distinct from text/code/image-based generative AI competitors. Claims breakthrough five-finger dexterity capabilities that competitors haven't publicly demonstrated.

Target customer

Large-scale industrial enterprises with manufacturing and logistics operations, humanoid robot developers, and retail companies seeking automation solutions in Korea, Japan, and India markets.

Industries served

Manufacturing, Logistics & Distribution, Retail, Robotics, Physical AI

Technology advantage

Combines embodied AI architectures with deep access to Korean and Japanese manufacturing data pipelines; leverages strategic investor relationships for immediate real-world testing environments; integrates proprietary RFM with global computing infrastructure (Microsoft, NVIDIA, AWS) to bridge the gap between LLM outputs and physical robot actions.

How they differentiate

Five-finger robot hand manipulation capability not yet publicly demonstrated by competitors; trains Robotics Foundation Models (RFM) directly in live industrial environments using real-world sensor data from East Asian manufacturing ecosystems; proprietary 'real-world data moat' from strategic investor partnerships enabling training in actual production settings

Main competitors

Tesla (Optimus), Figure AI, 1X Technologies

Key partnerships

Microsoft - cloud infrastructure, PoC projects in Asia's manufacturing/retail/hotel industries, NVIDIA - DexBench open dexterity benchmark + Isaac Lab/Lab-Arena integration; GR00T/Isaac stack for RLDX-1, AWS - Validated Partner; RLDX-1 completed AWS Foundational Technical Review (FTR) as AWS Qualified Software, WIRobotics - strategic alliance for ALLEX reference humanoid / intelligence co-development, Physics Sim Lab, SpaceAI, NdotLight - Aug 2026 MOUs for DexBench 3D assets, digital twins, deformable-object track, CJ Logistics - RFM for distribution centers; Seed 2 investor; joint validation, Lotte - retail/hospitality automation; K-Humanoid Alliance hotel training, KDDI & Lawson - retail robot innovation projects, LG Electronics - manufacturing data collaboration, SK Telecom - manufacturing ecosystem partnerships, Upstage - Solar Open VLM / K-AI robot foundation model collaboration, Robotics hardware: Robotis, Wonik Robotics, Rainbow Robotics

Notable customers

CJ Logistics, Lotte, SK Telecom, KDDI

Major milestones

Emerging from stealth with $14.8M Seed 1 (April 2025), Selected for 2025 AWS AI Accelerator (October 2025), 1st place Foundation Models at Nebius Robotics & Physical AI Awards ($150k compute) (December 2025), Raised $26M Seed 2; total seed ~$41M (February 2026), Corporate flip / US HQ relocation announced (February 2026), Appointed Carl Choi President of RLWRLD USA (March 2026), Released RLDX-1; SOTA on 8 benchmarks; open-sourced (May 2026), Named WEF Technology Pioneer 2026 (Centre for AI Excellence) (June 2026), Launched DexBench with NVIDIA; debuted RLDX-1 at GTC Taipei; All Hands Up! platform (June 2026), Grand Prize InnoVEX Pitch Contest at Computex 2026, MOUs with Physics Sim Lab, SpaceAI, NdotLight for DexBench (August 2026), AWS Validated Partner; RLDX-1 AWS FTR Qualified Software (2026)

Growth metrics

RLDX-1 launched and open-sourced (May 2026); DexBench with NVIDIA live; team grown to ~84-99 by mid/late 2026; Series A fundraising reported in progress (THE VC, Jul 2026) with no closed Series A as of Sep 2026; US expansion via Carl Choi / SF events; AWS Validated Partner

Market positioning

Physical AI challenger focused on industrial robotics intelligence; 'robotics brain' specialist enabling human-level dexterity and cognition for machines

Geographic focus

North America (Tesla, Figure AI, 1X headquarters), global humanoid robot market with differentiation through Korean and Japanese manufacturing ecosystem access

Patents and IP

No publicly disclosed patents or trademarks filed by RLWRLD as of current research. The company may be prioritizing trade secrets over public IP filings, which is common in early-stage AI/robotics startups.

About Jung-hee Ryu

Founder & CEO of RLWRLD (2024-present). Previously founded and led FuturePlay (2012-2024), a prominent Korean VC accelerator. Founded Olaworks (2006), the first Korean startup acquired by Intel (2012). KAIST PhD in Electrical Engineering and Computer Science, former Associate Professor.

Latest news about RLWRLD

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Official website: https://www.rlwrld.ai/