CONFIG RAISES $27M FOR ROBOTICS AI DATA LAYER
AI DESK■ 1 MIN READ
WED, MAY 13, 2026■ AI-SUMMARIZED FROM 2 SOURCES ▸ TIMELINE
Config, a startup building data infrastructure for robotics foundation models, secured $27M in seed funding at a $200M+ valuation. Samsung Venture Investment led the round.
Config is developing a data layer designed to support foundation models in robotics, addressing a critical gap in training data infrastructure for the sector.
The funding round was led by Samsung Venture Investment, reflecting Asia's growing focus on physical AI applications. The region is leveraging its established manufacturing expertise to advance robotics and autonomous systems.
Foundation models—large AI systems trained on massive datasets—have driven recent advances in language and vision AI. Applying similar approaches to robotics requires specialized training data infrastructure, which Config aims to provide.
The $200M+ valuation at seed stage signals investor confidence in the robotics AI sector's potential. Samsung's involvement suggests the tech giant sees strategic value in controlling data infrastructure for next-generation robotic systems.
Config joins a growing wave of startups tackling infrastructure challenges in AI, particularly in robotics where data quality and diversity are critical for model performance.
■ MORE FROM THE STARTUPS DESK
Triomics, an AI platform automating data-heavy tasks for oncologists, secured $22M in Series B funding. The raise follows a $15M Series A in 2024.
YESTERDAY— AI Desk
Xcena secured $135 million in Series B funding at a $570 million valuation for its MX1 chip, which handles data orchestration and KV cache management directly within memory modules.
YESTERDAY— AI Desk
Pittsburgh-based Gray Swan, which stress-tests AI models for frontier labs, secured $40M in Series A funding at a $200M valuation. The round was co-led by Wing VC and Madrona.
YESTERDAY— AI Desk
H1, a healthcare SaaS startup, secured $40 million in funding from CVS Health. The investment signals continued investor confidence in specialized software platforms despite AI disruption concerns.
YESTERDAY— Industry Desk