Robai
Category: Robotics / Embodied AI
AI robot control startup building a general-purpose platform (Robot Academy) that enables robots to autonomously learn their own body structure and movements through AI Self-Exploration technology. Robai was founded in 2026. The company is led by Won-young Jeong (정원영). Based in Seoul, South Korea. Team size: 1-10. Latest round: Seed. Key investors include Korea Investment Accelerator (한국투자액셀러레이터).
- Founded
- 2026
- Headquarters
- Seoul, South Korea
- Team size
- 1-10
Value proposition
Robai replaces the need for custom-designed, manually-tuned robot control systems with an AI-based general-purpose control platform. Its AI Self-Exploration technology lets robots autonomously learn their joint structures, sensor configurations, and physical constraints — bridging the gap between high-level Robot Foundation Models (RFMs) and actual hardware execution.
Products and solutions
Robot Academy — a general-purpose robot control platform built on AI Self-Exploration technology, comprising three models: Robot Action Recognition (RAR), Motor Babbling AI, and Body Schema
Unique value
Robots autonomously learn their own body structure and movement without human intervention, eliminating the need to redesign control software for each new hardware platform. Acts as the "motor nerves" connecting Robot Foundation Models (brain) to physical hardware execution.
Target customer
Industrial robot manufacturers and operators initially; expanding to service robotics, humanoid, and soft robot companies
Industries served
Industrial robotics, service robotics, humanoid robotics, soft robotics
Technology advantage
AI Self-Exploration technology with three synergistic models (RAR, Motor Babbling AI, Body Schema) that iteratively learn from each other. Hardware-agnostic approach that works across robot types (industrial, service, humanoid, soft robot). Team with combined hardware and AI expertise across all layers.
How they differentiate
Unlike competitors building Robot Foundation Models (RFMs) that focus on high-level reasoning and perception, Robai targets the execution layer — the "motor nerves" that translate RFM commands into actual hardware movements. Its AI Self-Exploration approach is hardware-agnostic and requires zero manual tuning per robot type.
Main competitors
Config Intelligence (Config), RLWRLD (Real World), Michelob Robotics, Arica
Key partnerships
Korea Investment Accelerator (seed investor), Hansung Cisco (한성시스코) — MOU for Robot Academy industrial PoC in rubber/tire manufacturing (Aug 2026)
Major milestones
Founded March 2026, Seed funding from Korea Investment Accelerator announced July 28, 2026, MOU with Hansung Cisco for Robot Academy industrial PoC (rubber/tire manufacturing) announced August 7, 2026
Market positioning
Early-stage startup positioned in the Physical AI transition, specifically targeting the gap between Robot Foundation Models (high-level AI) and hardware execution. Competes in the Korean physical AI ecosystem alongside Config Intelligence and RLWRLD, but with a differentiated focus on the control/execution layer rather than foundation models.
Geographic focus
South Korea (domestic), with potential global expansion
Patents and IP
5 patents registered (per THE VC, earliest filing 2013, latest 2018 — likely pre-existing IP from founding team)
About Won-young Jeong (정원영)
Firmware Engineer at Angel Robotics (wearable exoskeleton startup); AI Researcher at CNAI (AI data company, Seoul)
Latest news about Robai
More Robotics / Embodied AI companies
Official website: https://robai.tech
