Dexterity Night in SF
By Invitation Only. Non-transferable.
Humanoid robots can dance and do chores. But their hands still fall short.
As Elon Musk put it, "Dexterous hand for robots is a very hard problem."
The bottleneck is no longer hardware; it is the intelligence layer.
On May 13, RLWRLD will host Dexterity Night in San Francisco, an intimate, closed-door gathering of select investors, strategic partners and media partners. This exclusive evening offers the first look at RLDX-1, our proprietary Robotics Foundation Model (RFM) built to solve true five-finger dexterity at scale alongside our close ecosystem partners.
Why You Should Attend
First public disclosure of our dexterity benchmark — showing what's possible when a foundation model is built from the ground up for real-world manipulation.
Live demos of a single foundation model running across multiple humanoid platforms — no stitched-together tricks.
A rare gathering of the full dexterity stack in one room — foundation model researchers alongside the hardware companies pushing the frontier: WIRobotics, Origami Robotics, Enactic, and Proception AI.
Agenda
5:00–5:30 PM · Private Live Demos & Cocktails
5:30–6:00 PM · RLWRLD Overview + RLDX-1 Unveiling
6:00–6:30 PM · Dexterity Ecosystem Partner Panel
6:30–9:00 PM · Extended Demos & Closed-Door Networking
* The demo will be running throughout the entire event, and food and drinks will be served.
Speakers
The researchers, founders, and operators building the dexterity stack — on one stage.
Junghee Ryu, CEO, RLWRLD
Jinwoo Shin, Chief Scientist, RLWRLD (Professor, KAIST)
Carl Choi, President, US, RLWRLD
Amit Goel, Head of Robotics Ecosystem and Edge AI, Nvidia
Yongjae Kim, CEO, WIRobotics
Quanting Xie, CEO, Origami Robotics
Hiroto Yamamoto, CEO, Enactic
Jay Li, CEO, Proception AI
In the press
What is RLDX-1?
RLDX-1 is RLWRLD's proprietary Robotics Foundation Model (RFM), built to crack the final bottleneck in industrial automation: dexterous manipulation at scale.
Human-level five-finger dexterity with over 15 degrees of freedom, matching the full range of the human hand.
Trained on multi-sensory, multi-embodiments real-world data — multimodal inputs including vision, proprioception, torque, and tactile feedback.
Hardware-agnostic and deployable across multiple robotic platforms without vendor lock-in.
Benchmark-proven performance, validated against industry-leading models in efficiency and generalization.
Preparing for deployment with industry partners across logistics, aircraft cabin management, retail, hospitality, and manufacturing.
About RLWRLD
RLWRLD (pronounced "Real World") is a physical AI company headquartered in San Francisco, with offices in Tokyo and Seoul, building the Robotics Foundation Model (RFM) that enables robots to use their hands with human-like dexterity.
Founded in 2024 by serial entrepreneur Junghee Ryu, RLWRLD has raised ~$41M from strategic investors including LG Electronics, SK Telecom, KDDI, ANA, Mitsui Chemicals, and Shimadzu Corporation. The company is actively collaborating with NVIDIA, AWS, and Microsoft, and in 2025 was awarded 1st place in the Foundation Model category at the Nebius Robotics & Physical AI Awards, sponsored by NVIDIA.
Seats are limited.
On May 13, the conversation about dexterity stops being theoretical.