Our mission
We are a physical AI company helping humanity make sense of the world. We solve real world problems using the power of AI to reveal the world’s hidden patterns and behaviors that escape our perception.
Physical AI
Newton, a first-of-its-kind AI model that understands the physical world. Our proprietary foundation model can perceive and reason about the physical world in real time by fusing multimodal sensor data and natural language. We call this a Large Behavior Model or LBM.
Make Newton Yours. With Newton’s ready-to-use model and horizontal AI platform, any physical business can become a business with AI at its core. We invite enterprises and developers to join our Design Partner program and start using Newton to solve their real world problems.
Newton Experiments
Capabilities
Physical AI for everyone. Newton will have the following core technical capabilities we are developing to give everyone the power of physical AI to solve real world problems.
Applications
Building for the trillion dollar sensor economy. Businesses and developers can use Newton to solve any use case, combine insights across sensors to solve new problems, and evolve with the world around it.
Make Construction Sites Safer
Improve safety on construction sites by continuously monitoring spaces and issuing instant alerts for potential hazards.
Make Your Smart Home Smarter
Customize your home to react to your presence, focus, and preferences by seamlessly automating tasks. Communicate with your devices effortlessly using natural language and gestures
Adapt Vehicles to People
Make vehicles smarter with spatial interactions that recognize you, sense your presence, and respond to your gestures to improve safety and convenience.
Slash Factory Down Time
Boost the reliability of automation and robotic systems in factories and warehouses. Detect anomalies in real-time to optimize performance and minimize downtime.
Monitor Energy Infrastructure
Continuously monitor data from renewable energy equipment. Predict maintenance needs to prevent downtime and optimize energy production.
Improve Healthcare Outcomes
Generate comprehensive reports on your well-being from wearable sensors, smartphones, and home devices. Provide periodic summaries for informed healthcare decisions.
Latest updates
We are excited to share a milestone in our journey toward developing a physical AI foundation model. In a recent paper by the Archetype AI team, "A Phenomenological AI Foundation Model for Physical Signals," we demonstrate how an AI foundation model can effectively encode and predict physical behaviors and processes it has never encountered before, without being explicitly taught underlying physical principles. Read on to explore our key findings.
Last week, we made waves at TEDAI San Francisco — on Day 1, we premiered our feature video, "A Phenomenological AI Foundation Model for Physical Signals” and on Day 2, our co-founder, CEO, and CTO, Ivan Poupyrev, took the stage for a panel discussion on the future of embodied AI.
Currently, digital companions are the dominant metaphor for understanding AI systems. However, as the field of generative AI continues to evolve, it's crucial to examine how we frame and comprehend these technologies—it will influence how we develop, interact with, and regulate AI. In this blog post, we'll explore different metaphors used in AI products and discuss how they shape our mental models of AI systems.