Config Intelligence
San Jose, US · Founded 2024 · Delaware corporation · 7 known investors
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Config builds data infrastructure and a robot foundation model (CFG-1) for general-purpose, two-handed (bimanual) robotic manipulation. Its Loop platform turns real-world human and robot demonstrations into deployable, task-specific robot policies for customers deploying robots in physical environments.
Also known as Config · Config Intelligence Inc. · config.inc
Founders & leadership
Config Intelligence was founded in 2024 by Minjoon Seo, Hyungmok Son, and Kimin Lee.
Investors · 7
Also in the syndicate · 2
Reported raises · per SEC filings
Form D private placements$33.3M disclosed across 1 of 2 rounds · 2026
▶$33.3MraisedMay 2026 · 21 investors · Other TechnologyRule 506(b)
- Keug Jae BangExecutive Officer, Director
- Minjoon SeoExecutive Officer, Director
- Offering amount
- $35.3M
- Amount sold
- $33.3M
- First sale
- Apr 2026
- Incorporated
- Corporation, Delaware, 2024
- Federal exemptions
- 06b
Source: SEC EDGAR Form D. Amounts as filed; amended filings shown once at their latest values.
Valuation · disclosed
Disclosed eventsSource: SEC prospectus filings, and round valuations the company or its investors disclosed — follow each entry's link for the claim.
Company profile
researched Aug 2026Config Intelligence Inc., which operates as Config, develops data infrastructure and technology for general-purpose bimanual (two-handed) robotic manipulation. Rather than building robots, the company collects real-world human demonstration and motion data and converts it into training data structured for how bimanual robots move, selling that data alongside software and model products.
Its platform, Loop, comprises six composable modules spanning collection through evaluation, backed by two GPU engines, and turns a customer's real-world demonstrations into deployable, task-specific robot policies, with physically validated results fed back into training. CFG-1 is the company's first-generation robot foundation model for bimanual manipulation, trained on in-house human and robot data and described as adaptable to a customer task within hours. The company frames its approach as "closing the loop" between data and deployment, arguing that data is only validated by training models and testing them in the physical world, and works directly with customers on real-world deployment.
Config has also published research and datasets, including HABIT, a dataset for interactive action models aimed at robots that act alongside people and follow human direction, and work on vision-language-action models with long-horizon memory applied to tasks such as piano playing, shell games and object rearrangement.
Business model
A B2B model selling robotics training data together with the Loop platform and the CFG-1 foundation model to enterprises deploying robots; one source describes subscription-based services for ongoing support and access to proprietary technology alongside direct sales, with contracts covering deployment, maintenance and training, and plans to develop Robot-as-a-Service offerings.
Revenue is described as coming from partnerships and direct enterprise sales, with subscription-based support and technology access complementing direct sales of core systems.
Traction
Reported accumulation of more than 100,000 hours of collected human demonstration and motion data across roughly 300 staff in its collection studios, and over 10,000 training hours behind CFG-1. Product releases through 2026 include the HABIT dataset (August 2026) and research on long-horizon memory in VLA models (April 2026).
Latest developments
In April/May 2026 the company filed an SEC Form D disclosing a $33.3 million equity offering against a $35 million target, reported in press profiles as a $27 million seed round led by Samsung Venture Investment. In April 2026 it published work on robots coexisting with humans and on long-horizon memory for vision-language-action models, and in August 2026 it released the HABIT dataset for interactive action models.
▸Full profile — market position, technology, go-to-market, geography, risks & controversies
Market position
Positioned as a supplier of the scarce data input for robotics foundation models rather than a robot maker, with one profile noting it pitches itself as the "TSMC of robot data."
Operates its own human-motion data collection studios producing vetted, physically grounded demonstration data at large scale, and couples that data with a training/evaluation platform and its own bimanual foundation model, closing the loop from collection to physical validation.
Technology
Data infrastructure for capturing and processing real-world human and robot demonstrations, plus the Loop platform's six composable modules (collect through evaluate) running on two GPU engines, and the CFG-1 bimanual manipulation foundation model, reported as trained on over 10,000 hours of data with sub-50ms inference. Research directions include vision-language-action models with long-horizon memory and interactive behavior learned from the HABIT dataset.
Go-to-market
Direct engagement with enterprise customers to turn their demonstration data into deployed robot policies, supported by published research posts, dataset releases and partnerships with manufacturers.
Enterprises deploying robots in physical, often human-populated environments; industry applications cited include manufacturing and assembly lines, healthcare, and logistics.
Geography
Headquartered in San Jose, California, with operations reported in Seoul, South Korea and Hanoi, Vietnam; clientele described as spanning North America, South Korea and Vietnam, with stated plans to expand into additional markets in Asia and Europe by 2027.
Risks & controversies
Public data on the company is inconsistent: one profile lists a 2025 founding date and two funding deals while other records show 2024 incorporation and a single filed offering, and reported round size, valuation and total funding vary across secondary sources.
Compiled by commissioned research from 8 cited public sources — announcements, filings, and press listed under research sources below.
Key figures
latest reportedCompany-reported or press-reported figures, each dated to when it was claimed — not independently audited.
Timeline · 4
launches, deals, and filingsConfig released HABIT, a dataset intended to train robots to act together with people, work side by side and follow human direction, and showed interactive behavior learned by CFG-1 from it.
Config Intelligence Inc. (CIK 0002126063) filed a Form D notice of exempt offering reporting $33.3 million of equity sold against a $35 million target, with $2.0 million remaining and a $2.0 million minimum investment noted; a separate tracker dates the filing May 12, 2026.
$33.3M source ↗
Published work on vision-language-action models with long-horizon memory, demonstrated on piano playing, shell games and object rearrangement.
Post arguing the hardest part of deploying robots is operating in environments where people are present.
Dated company events from announcements, filings, and press; legal rows summarize public dockets and regulator releases.
Legal entities · 1
corporate structure▸Research sources · 8
primary sources listed
- Config Intelligenceconfig.inc · web
8 public sources were cited for this profile; the first-party ones are listed here.
Frequently asked questions
- What does Config Intelligence do?
- Config builds data infrastructure, the Loop platform and the CFG-1 foundation model for general-purpose bimanual robotic manipulation.
- Who founded Config Intelligence?
- Config Intelligence was founded by Minjoon Seo, Hyungmok Son, Kimin Lee in 2024.
- Who are Config Intelligence's investors?
- Config Intelligence's investors include GS Futures, Hillspring Investment, Kakao Ventures, KT investment Inc., LG Technology Ventures.
- How much funding has Config Intelligence raised?
- Config Intelligence has disclosed $33.3M raised across 1 of its 2 known rounds.
- Where is Config Intelligence headquartered?
- Config Intelligence is headquartered in San Jose, US.






