1X Technologies

1X's February 8, 2024 engineering update states that its end-to-end vision-based neural-network system was deployed on EVE for patrolling tasks in 2023. This is a distinct historical patrol application from the previously recorded 2026 NEO home early-access/preorder observation.

1X has moved from factory deployments to NEO Early Access in customer homes in 2026, with paid pre-orders and home deployment scaling underway.

1X has moved from factory deployments to NEO Early Access in customer homes in 2026, with paid pre-orders and home deployment scaling underway.

1X's Redwood world-model article describes action-conditioned predicted video and terminal-state value estimates to evaluate policy checkpoints, including counterfactual evaluation of failure states and long-tail tasks.

1X integrates a video-pretrained world model and Redwood AI into NEO for generalization, locomotion, manipulation and household task learning, including world-model-based action prediction.

1X integrates a video-pretrained world model and Redwood AI into NEO for generalization, locomotion, manipulation and household task learning, including world-model-based action prediction.

1X announced $100 million Series B financing in January 2024 with participation from EQT Ventures and other investors. This dated capitalization event is independent of existing NEO delivery and NVIDIA technology-stack evidence.

1X operates both industrial and consumer humanoid programs, is delivering NEO to Early Access users in 2026, and uses NVIDIA simulation, training and onboard compute infrastructure across its robotics stack.

1X operates both industrial and consumer humanoid programs, is delivering NEO to Early Access users in 2026, and uses NVIDIA simulation, training and onboard compute infrastructure across its robotics stack.

1X documents checkpoint selection by dynamic time-warping distance between ground-truth action sequences and inverse-dynamics actions derived from generated video, a concrete evaluation method linking video generation and embodied control.

1X work spans world models, vision-language-action systems, humanoid locomotion, manipulation, simulation, reinforcement learning and onboard inference, providing highly portable physical-AI skills with some humanoid specialization.

1X work spans world models, vision-language-action systems, humanoid locomotion, manipulation, simulation, reinforcement learning and onboard inference, providing highly portable physical-AI skills with some humanoid specialization.