Archetype AI
@PhysicalAI
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Helping humanity make sense of the world with Physical AI
Palo Alto, CA
Joined September 2023
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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Identify hazards, reduce workplace incidents, and ensure safety and security compliance in real time with the Safety Agent ⚠️ #PhysicalAI
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The Archetype platform gives you everything to build and deploy Physical Agents that bring intelligence to your physical assets — wherever they are, in real time. #PhysicalAI
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"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 Physical AI could help us solve." @ipoupyrev
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Beyond chatbots: What if we could use AI to understand the physical world? Sharing our insights from @nextconf 💡
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That's a wrap! Our COO & Founder @BrandonBarbello joined Lilac Ilan, @robertbelson and @jskyles to talk about Physical AI and the infrastructure that makes it possible to run on cloud, on-prem and at the edge, and demo our Safety agent live. From multimodal data to natural
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Coffee ready, headphones on and the AWS #reInvent livestream playing in the background. We are all set up for 11:30pm PT when our COO & Founder @BrandonBarbello will go live at AWS On Air to demo the Archetype platform and talk all things Physical AI. Watch live at
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“Can I see something as it, which is possible to be represented in an image?” - Wittgenstein (1953)
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Our Chief Scientist, Jaime Lien @_jaimelien_ , recently spoke with @AIMmediahouse about Newton, Physical AI and world models. What's exciting: we're starting to see early results showing the model is developing representations that capture the structure of the physical world.
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Today @PhysicalAI is sharing early work on TimeFusion, a general sensor-language model that that enables natural language conversations with time series data. Engineers can ask their equipment questions. Buildings can explain operational states. Sensors gain a voice. TimeFusion
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Learn more about TimeFusion, the newest member of the Newton model family, here: https://t.co/M0Xw3rBZez
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Crazy how time flies. In just over a year we've gone from this, to TimeFusion—a 2B parameter multimodal transformer that unifies human language and time-series sensor data into a single representational embedding space. With it, you can: - describe a signal stream in plain
Enhancing human behavior analysis with sensor fusion 🌐 Discover how Newton fuses time series radar data with live camera feeds to track spatial relations in real time. By surpassing the constraints of camera-only models, Newton delivers deeper insights in any condition.
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Today, we’re sharing early work on TimeFusion, the first general sensor-language fusion model that allows humans to have conversations with sensor data. Most LLMs see sensor signals as text or images, and miss important nuances. TimeFusion doesn’t. It understands time-series
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Earlier this week, we introduced Physical Agents: software that interprets multimodal sensor data and delivers real-time intelligence in physical environments. Today, we published the details on how they work: Physical Agents run on Newton, our foundation AI model that fuses
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