Facts

• Segment: Foundation Models
• Country: South Korea
• Founded: 2024
• Website: https://www.rlwrld.ai/

Profile sections

• Summary
• Market context
• Facts
• Funding
• Investors
• Context / Market Position
• Events
• Team
• Relationships
• Record / Articles
• Sources

Summary

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. Proprietary robotics foundation models and training infrastructure; no proprietary robot hardware.

• Capability: Industrial manipulation learning Robotics foundation models (RFM) Real-world multimodal data pipelines Logistics and manufacturing automation intelligence
• Strategic position: Positioned in embodied AI infrastructure (foundation models for industrial robotics) Deployment-first approach
• Strategic position: real industrial environments as training grounds
• Strategic position: strategic partner data advantage

Facts

• Website: https://www.rlwrld.ai/
• HQ: Seoul, South Korea
• Founded: 2024
• Segment: Foundation Models
• Known funding rounds: 2

Funding

• 2026-02-25 - Seed 2 - $41M - RLWRLD raises $41M in seed funding to scale industrial robotics AI - source: globenewswire.com
• 2025-04-14 - Seed - $14M - RLWRLD raises seed funding for industrial robotics foundation models - source: prnewswire.com

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
• ANA Group - Participant - Angel / Individual - 1 funding event - first seen 2025-04-14
• Global Brain - Participant - Vc - 1 funding event - first seen 2025-04-14
• Hashed - Lead - Unknown - 1 funding event - first seen 2025-04-14
• 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
• Mirae Asset Venture Investment - Participant - Vc - 1 funding event - first seen 2025-04-14
• Mitsui Chemicals - Participant - Angel / Individual - 1 funding event - first seen 2025-04-14
• SK Telecom - Participant - Angel / Individual - 1 funding event - first seen 2025-04-14

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.
• 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)
• 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…
• 2025-04-14 - Funding - RLWRLD raises seed funding for industrial robotics foundation models - RLWRLD announced a seed round to develop robotics foundation models for real-world industrial environments

Team

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

Relationships

• Microsoft - technology_partner - Azure compute/storage, Microsoft Research collaboration, scaling RLWRLD's robotics foundation model; joint PoCs and commercialization around industrial robotics AI (confirm with primary…

Record / 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…