Archetype AI

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, apps, and digital abstractions — intelligence is finally stepping into the physical world. We're bringing the Archetype platform to more customers and evolving Newton from a powerful foundation model into an intelligence layer for the physical world—one that perceives, understands, and reasons across real-world systems, enabling hundreds of intelligent applications. And this is just the beginning. This funding round, led by IAG Capital Partners and Hitachi Ventures, with participation from Bezos Expeditions, Venrock, Amazon Industrial Innovation Fund, Samsung, E12, Systemiq Capital, HLV, and others, enables us to scale physical intelligence globally and continue advancing Newton as the premier foundation model for the real world. Thank you to our team, partners, investors, and all of you for following our journey to making the world truly intelligent. Onwards! 🚀

🎥Our Chief Design Officer Leonardo Giusti on Physical AI as instruments, not just robots — and why design is the mechanism that helps intelligence seamlessly integrate into society.

You can now turn a video of a task into a standard operating procedure. 👇 Manual Generation is one of five Newton Agents, built to scale operator expertise before it retires. archetypeai.io/agents

📍 SF, July 16 — our CEO @ipoupyrev is speaking at the Autonomous Conference on the architecture, training, and infrastructure behind Newton. Attending? Come talk Physical AI. 👋 autonomousfuture.co

What if Physical AI is much bigger than robots? Our Co-founder and Chief Scientist, @_jaimelien_ , on the Driving Tomorrow podcast: how sensor data reveals hidden patterns across machines, buildings & infrastructure — not just robots. 🎧 lnkd.in/grRvEyQJ

Our CEO, @ipoupyrev , on why the real shift is toward turning existing infrastructure into software-defined intelligent systems. 📖 linkedin.com/pulse/robotics…

You can't label a failure you don’t know exists. Anomaly Discovery learns your equipment's “normal” from raw sensor data and flags unknown failure modes before they escalate. These are ready-to-deploy Newton Agents 👉 archetypeai.io/agents

How can AI ensure tasks are executed correctly and consistently, improving quality and compliance across operations? Archetype's Task Verification Agent is 1 of 5 Newton Agents we announced last week. Newton Agents are a portfolio of ready-to-deploy physical agents that turn sensor data, video, and domain knowledge into operational intelligence, improving asset reliability, optimizing processes, and scaling operator expertise. More on Newton Agents here: archetypeai.io/agents

Watch the full panel, “Deep Tech, Shallow Markets” here: youtube.com/live/Es6onMnWS…

Anomaly detection tools find the problems you already know to look for. Anomaly discovery technology can find the ones you don't. That's the shift Physical AI makes possible from monitoring what you expect to discovering what you didn't. Our Co-founder and COO, Brandon Barbello, on managing physical complexity with AI, from the Summer Davos in Dalian. Full video is in the comments 👇

Thank you to Leo for the reminder that Physical AI doesn't have to be tied to robots to change how we understand the world around us.

That's the whole idea behind Archetype AI in one frame: take any sensor signal, make sense of it, and translate it into something a person can actually use.

What does a radar signal sound like when you teach a model to read it? During this panel at Artist in the Machine, our Chief Design Officer, Leonardo Giusti, walked through one of Archetype's earliest demos, showing radar data flowing into our foundation model and coming back out as a plain-language description of what's happening in the room.

🎧youtube.com/watch?v=BL4DbP…

85% of the global economy is powered by physical industries. Manufacturing, energy, construction, and transportation are the systems on which the modern world is built. Almost all of them are already instrumented with sensors measuring temperature, vibration, pressure, current, and more. But it's hard to turn this data into insight and a real-time understanding of what a system is doing, how it got there, and what happens next. That's the operational intelligence gap, and why we built our Physical AI foundation model, Newton. Listen to our Founder and Chief Scientist, Jaime Lien, on why Physical AI is the layer the real economy has been waiting for.

Explore more 👉 archetypeai.io/agents

Physical intelligence becomes something you deploy, not something you build from scratch.

Meet Newton Agents 👇