Androids are robots with a human-like appearance. They’re designed to look like people and mimic our actions in order to navigate our world: 1X’s androids can pick up common objects in your household or office, fit through regular doors, and integrate seamlessly into the built world to support and empower people.

EVE is a wheeled android designed specifically for work settings: they can move faster on wheels than on two feet, along with carrying more weight, optimized for settings like logistics or retail. NEO is a bipedal android, similar in size to an average human at 165 cm and 30 kg, with human-like movements, dexterous hands, and able to lift up to 75 kg. What really makes NEO unique among humanoid robots is that it's soft like us, light and safe to work among people. This makes NEO a general purpose android, designed to fit into everyday life as an intelligent assistant.

If you look at the modern world, everything is made for us, from how we walk to how we work. So in order to create androids that interface with our world effectively, the human shape is the most efficient form. We aim to teach androids to navigate our built environment and develop smart behavior, rather than changing our environment to suit the needs of androids.

Androids will change the world's labor market, a market that is already suffering from a lack of people willing to take on mundane, dangerous, or undesirable jobs. AI and androids can significantly contribute to a more productive, safe, and fulfilling work environment for everyone, increasing our access to labor.

Our androids employ a sophisticated AI approach known as Embodied Learning, which integrates 1X AI software within their physical form. This enables them to interact autonomously with their surroundings, learning from real-world experiences and sensory inputs. We enhance their capabilities through a process we call 'shared autonomy,' where human operators and AI work in tandem. Operators use VR teleoperation in our Studio to train androids in tasks, effectively combining human intelligence with AI efficiency.

We train our own foundation models for embodied intelligence while integrating them with OpenAI’s latest models for high-level planning and instruction comprehension. Our goal is to develop androids capable of understanding and executing tasks via voice commands, making them suitable for a variety of applications, from household chores to more industrial settings.

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