Config
"General-purpose bimanipulation, built on real-world data."
Builds data infrastructure and foundation models for general-purpose bimanual robotic manipulation.
Config (Config Intelligence Inc.) is a robotics software and AI company building the data infrastructure and technology that enable general-purpose bimanual manipulation. The company develops a platform, Loop, that turns real-world human and robot demonstrations into deployable, task-specific robot policies through six composable modules spanning data collection to evaluation, powered by two GPU-based engines. Alongside the platform it develops CFG-1, a first-generation robot foundation model for bimanual manipulation trained on in-house human and robot data and adaptable to a customer task within hours; the company reports more than 10,000 training hours and sub-50-millisecond inference for the model. Config's approach centers on closing the loop between data and deployment, validating data by training models and testing them on physical robots, and working directly with customers to convert demonstration data into real-world robot deployments. Its published research and engineering work covers long-horizon memory for vision-language-action models, two-handed task execution across diverse real-world settings, and robots operating safely in environments where people are present. The team comprises AI and robotics engineers and scientists with backgrounds at organizations including Google, Meta, Waymo, NAVER, UC Berkeley, Harvard, KAIST and the University of Washington.
The company operates offices in San Jose, California in the United States, in Seoul, South Korea, and in Hanoi, Vietnam. Config positions its products around physical AI for manipulation, providing data pipelines, foundation models and deployment support for partners building bimanual robotic systems.
Primary type & automation activities this supplier delivers:
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WEBSITE
https://config.inc/HEADQUARTERS
United States
Company Facts
Founded
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Primary Role
Software/Algorithm
Company Size
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Primary Region
North America
Annual Sales
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Funding Stage
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Funding Total
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Shibaura Machine Expands THE Range of SCARA Robots with High Payload and Speed
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ET1 Galbot China
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OpenAI Agents Allegedly Circumvent Sandbox to Access Web and Government Systems
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AI and Robotics
MindOn Demonstrates Mind-1 Robot's Speed in Practical Task Execution
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MindOn China
Comau Innovates Robotic Order Preparation System for Decathlon's E-commerce Fulfillment
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OpenAI Enhances Codex with Reusable Cloud Environments for Multi-Device Access
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AI codex OpenAI
FaBrick: A Versatile Fabric-Based Platform for Soft Robotics Development
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Soft Robotics Fabric-based Robotics Inflatable Actuators Material Science
Teradyne Unveils Magnum E2 to Meet Demands of Next-Gen Memory Testing for AI and HPC
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Introducing HaiPick Climb: A High-Density Warehouse Automation Solution
Hai Robotics has launched the HaiPick Climb, a high-density Automated Storage and Retrieval System (AS/RS) designed to enhance warehouse storage and order fulfillment. This innovative system integrates compact HaiClimber robots, high-density racking, configurable workstations, and HaiQ software, allowing warehouses to store more inventory and fulfill orders faster while minimizing operational complexity. The significance of HaiPick Climb lies in its ability to deliver high storage density and throughput without extensive infrastructure requirements. With capabilities to support double-deep storage of up to 45,000 totes in a compact footprint, the system can deliver totes to workstations in under two minutes and achieve throughput of up to 4,000 totes per hour. This modular solution allows customers to scale their operations as needed, adapting to changing demands in various sectors such as e-commerce, retail, and healthcare. Looking ahead, HaiPick Climb's development will continue to evolve based on customer feedback and operational requirements. The system's design focuses on reducing manual handling and improving efficiency, making it a viable option for warehouses facing challenges like limited space and increasing customer expectations. No further timeline was disclosed at the time of publication.
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MIR Databank puts China dexterous hand shipments above 30,000 units in 2026, yet only 3.5% of 2025 demand came from factory production. Part 1 of 3.
China’s Dexterous Hand Industry, 2026 Part 2 — The Technology
Linkage, tendon, direct drive or hybrid — and why hardware is converging while the DL1–DL5 manipulation scale decides who wins. Part 2 of 3.
ROBOTTODAY WEEKLY BRIEFING August 24 – 28, 2026
This week in robotics: XPeng's Dogotix raises over $900 million at a $6.3 billion valuation, Unitree's post-IPO slump revives bubble talk, Beijing's World Humanoid Robot Games close with a shift to real-world tasks, and Teradyne sues JAKA at Europe's Unified Patent Court. August 24–28, 2026.
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Added mass, wave loading, DVL navigation: the marine GNC reference for USV, ROV and AUV service engineers. The hardest book on the RSF list, 5/5.
