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1X Technologies NEO Beta
1X Technologies Humanoid Specs-based review

1X Technologies NEO Beta

OpenAI-backed humanoid built for safety-first home and work environments

N/A*
Not Rated Yet
Price To be Confirmed
Released 2024
Partial score — based on publicly available specifications. Hands-on subcategories pending physical testing.
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Overview

1X Technologies NEO Beta is an Oslo-based OpenAI-backed humanoid built around one radical design principle: safety above all else. By replacing gears with cable-driven actuators, NEO eliminates the crushing risk inherent in gear-based systems, making it one of the few humanoids genuinely designed for home use alongside humans. At just 30 kg, it is the lightest full-size humanoid available. The OpenAI investment funds a whole-body imitation learning AI stack that enables NEO to learn tasks by watching humans. While locomotion performance lags behind competitors, 1X is betting that safety and AI learning are the two properties that will matter most when humanoids enter the home.

Score Breakdown

Scores not available yet — this robot's price has not been officially confirmed.

Available skills

We haven't catalogued specific skills for the 1X Technologies NEO Beta yet. We track public GitHub repos and official sources that explicitly target this robot; as the ecosystem grows, new motions, behaviours and SDKs will appear here automatically.

Technical Specifications

Height 1.65 m
Weight 30 kg
Actuators Cable-driven (no gears)
Max Speed ~0.7 m/s
Battery Life Not disclosed
Payload ~10 kg
Sensors Cameras, proprioception sensors, IMU
AI Backing OpenAI
OS Proprietary
Connectivity Wi-Fi, 4G

Pros & Cons

Strengths

  • Gear-free cable-driven actuators — safest humanoid design, no crushing risk
  • Only 30 kg — by far the lightest full-size humanoid, ideal for home environments
  • OpenAI-backed AI stack with state-of-the-art whole-body imitation learning
  • Designed from day one for homes alongside humans, not industrial settings
  • Dual form factor: NEO humanoid and EVE wheeled platform share the same AI stack

Weaknesses

  • Slow walking speed (~0.7 m/s) — safety prioritised over locomotion performance
  • Early research stage — no commercial availability
  • Battery life undisclosed
  • Very limited public documentation and SDK access
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Specs-based analysis — score derived from manufacturer data. How we score

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