RLWRLD
RLWRLD develops robotics foundation models for dexterous manipulation. Its RLDX-1 model is built around five-finger hand control and complex real-world tasks, giving robot builders an AI layer for manipulation across hands and embodied systems.
Market context
Represents a deployment-first approach to embodied AI, using real industrial environments as training grounds. Strong alignment with logistics and manufacturing operators gives it a structural data advantage over simulation-first competitors.
Facts
- Website: https://www.rlwrld.ai/
- HQ: Seoul, South Korea
- Founded: 2024
- Segment: Foundation Models
- Known funding rounds: 1
Investors
- CJ Logistics - Participant - Strategic Industrial - 1 funding event - strategic/corporate - first seen 2026-02-25
- Hanwha Asset Management - Participant - Unknown - 1 funding event - first seen 2026-02-25
- 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
- Lotte Ventures - Participant - Vc - 1 funding event - first seen 2026-02-25
- Mirae Asset-Emart Investment Fund I - Participant - Vc - 1 funding event - first seen 2026-02-25
- 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
Physical AI model company
RLWRLD develops physical AI models and robotic control systems trained on real-world factory and manipulation data.
- Target environment: Factories, robot learning labs, dexterous manipulation settings, industrial automation sites and physical AI development environments.
- Deployment model: Robotics AI model and control-layer development using real-world data collection and foundation-model research.
- Customer context: Robot builders, industrial automation users, AI labs and manufacturers exploring generalizable robot skills.
- Workflow context: Robot policy learning, dexterous manipulation, factory task learning, physical AI training and model evaluation.
- Commercial maturity: Early-stage physical AI company with model releases and research activity. Scaling depends on production workflow proof, robot compatibility, model generalization, safety, and deployment tooling.
- Market position: Robotics AI company focused on real-world data for physical intelligence rather than hardware-only robot development.
- Adoption constraints: Adoption depends on data quality, model generalization, safety, hardware compatibility, deployment tooling and proof in production workflows.
- Adjacent context: Adjacent context includes physical AI, robot foundation models, dexterous manipulation, factory training data and robotics model infrastructure.
- Source confidence: medium
Events
- 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 r…
- 2026-02-25 - Funding - RLWRLD raises $41M in seed funding to scale industrial robotics AI - 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…
- 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 R…
Team
- Jung-Hee Ryu - Founder and CEO - Ryu leads RLWRLD's physical-AI foundation-model business.
Relationships
- Microsoft - Technology Partner - RLWRLD works with Microsoft on Azure compute, Microsoft Research collaboration and industrial robotics AI commercialization.
Articles
- 2026-05-15 - WIRobotics raises $68M after scaling wearable robots - WIRobotics has sold more than 3,000 WIM walking-assist robots and is now funding ALLEX, its force-controlled humanoid platform. - Korthos: /research/wi…
- 2026-05-07 - RLWRLD’s RLDX-1 targets contact-rich robot manipulation - RLWRLD open-sources RLDX-1, a VLA model built around torque and tactile feedback for five-finger manipulation. - Korthos: /research/rlwrld-s-rldx-1-…
- 2026-02-26 - RLWRLD raises $41M across two seed rounds to build dexterity foundation models in live industrial environments - The Seoul-based physical AI startup has structured its capital around strategic investors who…
RLWRLD canonical Korthos profile