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Archetype AI
874 posts
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Archetype AI
@PhysicalAI
Helping humanity make sense of the world with Physical AI
Palo Alto, CA
archetypeai.io
Joined September 2023
213
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2,538
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  • Pinned
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    Archetype AI
    @PhysicalAI
    Nov 20, 2025
    AI goes into the real world 🌎 Today, we're starting a new chapter of Archetype as we celebrate our $35M Series A. The physical world generates vast amounts of sensor and video data every day but most of it goes unused. After years of AI living behind screens — in dashboards,
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    Archetype AI
    @PhysicalAI
    Nov 19, 2024
    "People talk about AI like it's a super-smart alien, but objectively what we have now is just a chatbot. It's not AGI. We don't know exactly what is happening in the real world — or where. And that's the challenge that AI could help us solve." Curious about the potential of AI in
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    Archetype AI
    @PhysicalAI
    Aug 19, 2024
    Three of our co-founders, Jaime Lien, Nick Gillian, and @ipoupyrev co-authored the paper “Soli: Ubiquitous Gesture Sensing with Millimeter Wave Radar.” This research shows how AI and non-visual sensors can create new ways to perceive and interact with the physical world. [1/3]
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    Archetype AI
    @PhysicalAI
    Apr 8, 2024
    We are building physical AI, a new category of AI that perceives, understands, and reasons about the physical world around us. Curious? Check out video to learn more about Newton, a first-of-its-kind physical AI foundation model. #PhysicalAI #Newton #ArchetypeAI
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    Archetype AI
    @PhysicalAI
    Apr 9, 2024
    Our vision is to encode the entire physical world using a variety of sensor data, to go beyond text and images to radars, accelerometers, and other sensors. This will allow us to transcend the limitations of human perception and help humanity to make sense of the world around us.
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    Archetype AI
    @PhysicalAI
    Oct 17, 2024
    1/ 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
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    Archetype AI
    @PhysicalAI
    Oct 22, 2024
    Have you ever wondered if the universe has a secret language? What if we could crack that code with AI? Today at @TEDAI2024, we’re introducing Newton — an AI model that can learn how the world works on its own, just by observing it.
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    Archetype AI
    @PhysicalAI
    Nov 5, 2024
    Physical AI Case Study: How @soar_chain improves road safety using Newton, our Large Behavior Model. A new app built with Newton enables real-time alerts, traffic optimization, and predictive maintenance. Read on: archetypeai.io/blog/soarchain…
    Navigation mobile app with live alert notifications, built on Soarchain.
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    Archetype AI
    @PhysicalAI
    Apr 5, 2024
    [1/5] Today we are taking the wraps off of Archetype AI: a physical AI company helping humanity make sense of the world 🌎
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    Archetype AI
    @PhysicalAI
    Apr 23, 2024
    Introducing 'Semantic lenses'—our interaction metaphor for a dynamic #PhysicalAI. Unlike traditional systems, it doesn't wait for questions. It decodes sensor data into real-time insights, predictions, and suggestions. Ready to see it in action? Check out our demo! #ArchetypeAI
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    Archetype AI
    @PhysicalAI
    Apr 17, 2024
    🚗🔍Our model gets intentions in real time:'Follow the car in front'=tracking the nearest car in the same lane, not just any car ahead. Watch how with natural language input it remaps bounding boxes as cars move. No rigid pre-training required; it's all on the fly![1/3] Details👇
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    Archetype AI
    @PhysicalAI
    Aug 21, 2024
    Archetype AI Case Study: How @soar_chain is leveraging Newton to improve road safety. Here is one of the first applications built with #Newton, Archetype AI’s Large Behavior Model. Peek into the future of AI and transportation: archetypeai.io/blog/soarchain…
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    Archetype AI
    @PhysicalAI
    Apr 11, 2024
    At the heart of Newton is the Universal Embedding Space. It integrates real-time sensor data with language into a single, compressed mathematical representation of the physical world. It allows to interpret the meaning of sensor data by querying it with natural language prompts.
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    Archetype AI
    @PhysicalAI
    Nov 15, 2023
    This is Semantic Localization, which we've built using our A01 #multimodal LLM. It infers your real-time indoor location, e.g., a kitchen or office, using nothing but a camera observing things around you. Just like people do to figure out where we are in the physical world! #AI
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