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Deft Robotics

Category: Robotics / Embodied AI

Systems integrator deploying wheeled humanoid robots and robot foundation models to automate the hardest-to-automate 'last 20%' of factory tasks for automotive and electronics manufacturers. Deft Robotics was founded in 2025. The company is led by Shinhee Lee. Based in San Francisco, California, United States. Team size: 1-10. Latest round: Seed. Key investors include Rainfall Ventures, SpringCamp, Founders, Inc..

Founded
2025
Headquarters
San Francisco, California, United States
Team size
1-10

Value proposition

Drop-in wheeled humanoid robot work cells that learn from human teleoperation to automate flexible, non-standard manufacturing tasks (cable insertion, part alignment) that traditional rigid automation cannot handle.

Products and solutions

Wheeled humanoid robot work cells, lightweight transformer-based robot foundation models trained via teleoperation data + fine-tuning, remote human oversight/error-recovery system, OTA retraining pipeline

Unique value

Learn-from-humans-first approach: teleoperation generates training data that progressively automates tasks, combined with lightweight factory-specific transformer models (not general-purpose AI) to keep compute costs low while handling real-world variation.

Target customer

Tier 1/2 automotive and electronics manufacturers (OEMs and suppliers)

Industries served

Automotive manufacturing, electronics manufacturing, appliance manufacturing

Technology advantage

Proprietary lightweight transformer models purpose-built for factory floor perception/state data; reward-model technology for automatic edge-case detection and retraining; systems-integration approach (partners with existing robot hardware makers rather than building hardware from scratch)

How they differentiate

Focus specifically on the 'last 20%' of manufacturing tasks resistant to traditional automation, using a systems-integrator model (partnering on hardware, owning AI/software) rather than building proprietary humanoid hardware at scale like Figure or Apptronik.

Main competitors

Apptronik, Figure AI, Dexterity, Agility Robotics

Key partnerships

Rainfall Ventures, SpringCamp, Founders, Inc., POCs/pilots with global automotive and electronics manufacturers (unnamed)

Major milestones

Founded 2025 by UC Berkeley friends Shinhee Lee and Jungwon Shin, raised seed funding (Feb 2026) from Rainfall Ventures and SpringCamp, running POCs/pilots with global automotive and electronics manufacturers

Growth metrics

Robots operate at 75%-95% of human speed from day 1; 99.9% success rate claimed; typical customer ROI period 6-9 months (per company website claims, unverified third-party)

Market positioning

Niche specialist in flexible, AI-driven automation for hard-to-automate manufacturing tasks, positioned between traditional industrial robotics and general-purpose humanoid robot platforms.

Geographic focus

North America initially, expanding to global manufacturing facilities

About Shinhee Lee

Ex-Tesla hardware engineer & product manager (mass production systems); UC Berkeley alum.

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