Config Intelligence Inc.
Category: Robotics / Embodied AI
Building the data infrastructure and foundation models for general-purpose bimanual robotics Config Intelligence Inc. was founded in 2024. The company is led by Minjoon Seo. Based in Seoul, South Korea & San Jose, California, USA. Team size: 201-500. Total funding raised: $35M. Latest round: Seed. Key investors include Samsung Venture Investment; Hyundai Motor ZER01NE Ventures; LG Technology Ventures; SKT America; Mirae Asset Ventures; Korea Development Bank; GS Futures; Kakao Ventures; Z Ventures; Pieter Abbeel (angel).
- Founded
- 2024
- Headquarters
- Seoul, South Korea & San Jose, California, USA
- Team size
- 201-500
- Total funding
- $35M
Value proposition
Config provides the data layer for robotic foundation models (RFMs) — collecting, transforming, and supplying high-quality human motion data so robotics companies can train capable bimanual robots without building their own data infrastructure. Positioned as the "TSMC of robot data."
Products and solutions
Loop (end-to-end platform: collect→curate→convert→train→deploy→evaluate, Conversion + Policy Engines), Catalog (ready-made pre-converted datasets), CFG-1 (2B-param bimanual RFM, native 3-min memory, <50ms on RTX 5090), HABIT dataset (human-robot interaction, open on Hugging Face Aug 2026), Robot-as-a-Service, 200,000+ hours human/robot motion data across 10,000+ tasks
Unique value
Config transforms human motion data into robot-ready training data before model training begins (data conversion technology, not model adaptation) — analogous to translating language rather than expecting the model to learn cross-lingually. Operates as a neutral data supplier (TSMC model) without competing with its customers' robot hardware businesses.
Target customer
Large manufacturers, system integrators, agriculture companies, defense sector organizations building proprietary robot AI
Industries served
Manufacturing, Agriculture, Defense, System Integration
Technology advantage
Proprietary Conversion Engine transforming human motion to robot-ready trajectories at micrometer precision before training; 200,000+ hours in-house human/robot data across 10,000+ tasks; CFG-1 2B-param RFM optimized for edge inference (<50ms RTX 5090) with 3-minute native memory; HABIT human-aware interaction dataset; hardware-agnostic Loop pipeline (any gripper/embodiment)
How they differentiate
Unlike competitors who build full-stack robot hardware + AI (e.g., Physical Intelligence, Skild AI), Config operates purely as a data infrastructure and foundation model provider — the "TSMC of robot data" — supplying data and models to any robotics company without competing with them. Config's core differentiator is its data conversion technology that transforms human motion data to robot-compatible formats before training, rather than adapting models post-training.
Main competitors
Physical Intelligence; Skild AI; Generalist AI
Key partnerships
Samsung Venture Investment (lead investor); Hyundai Motor ZER01NE Ventures; LG Technology Ventures; SKT America; Mirae Asset Ventures; Korea Development Bank; GS Futures; Kakao Ventures; Z Ventures
Notable customers
Samsung, LG, and Hyundai (commercial contracts / first-year revenue per ZVC), LG CNS (manufacturing robotics collaboration), additional system integrators, agriculture, and defense customers (names partly undisclosed)
Major milestones
Incorporated Aug 2024 (DE/KR), Raised $8M pre-seed 2025, Tech Preview Feb 2026, $27M seed at $200M+ led by Samsung Venture Investment (May 2026), Surpassed 200,000+ hours motion data (by mid-2026), Platform rebranded/launched as Loop, Released HABIT interactive-action dataset on Hugging Face (Aug 2026), Public LG CNS manufacturing robotics collaboration, Targeting CFG-2 H1 2027
Growth metrics
Already generating revenue (commercial contracts with Samsung, LG, Hyundai); targeting $10M ARR by end of 2027; 200,000+ hours human/robot motion data across 10,000+ tasks (~20K hrs/month Hanoi throughput); Hanoi Data Studio 100+ operators; valued at $200M+ post-money (May 2026 seed)
Market positioning
Positioned as the neutral data layer provider for the robotics AI ecosystem, analogous to TSMC in semiconductors. Backed by Korea's largest manufacturing conglomerates (Samsung, Hyundai, LG, SK), giving it unique access to industrial robotics deployment environments and strategic manufacturing partnerships in Asia.
Geographic focus
Asia-Pacific (South Korea, Vietnam for data operations), with US presence in San Jose, CA. Targeting global robotics companies building proprietary robot AI.
About Minjoon Seo
Ex-Meta Researcher; Chief Scientist at TwelveLabs; Associate Professor at KAIST AI. PhD from University of California, Berkeley.
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Official website: https://config.inc