The OPTIM Update

PODCAST · technology

The OPTIM Update

Deep conversations with the founders, investors, and operators building real-world AI - robotics, automation, and industrial systems. Past the headlines, into how these technologies are really built, deployed, and scaled. Hosted by Bogdan Cristei, venture partner and former systems engineer.

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    Building the Foundry for Physical AI | Mike Xia, Anvil Robotics

    Mike Xia is the co-founder and CEO of Anvil Robotics - building the foundry for physical AI. They make the hardware, software, and data tools that let robotics teams go from zero to model training in days vs months. They've shipped over 100 robots, manufacture in Taiwan, and just raised a $6.5M seed round. Mike gets into the economics of building and shipping a $5,000 arm, why most teams are fighting their own hardware before they can even start on AI, and what's structurally broken in the supply chain that not enough people talk about.We cover:00:00 - Intro00:45 - What physical AI teams actually go through before training a model03:16 - Why the existing robot stack was built for a different era04:10 - What it's actually like setting up an SO-100 at home05:21 - The leap from toy arms to real payloads08:01 - What you get on day one with an Anvil dev kit09:12 - What kilohertz-rate sensor fusion actually unlocks11:19 - The false tradeoff between payload and force compliance14:35 - Why vision alone isn't enough: the dentist analogy16:15 - The economics of a $5,000 arm20:01 - Scaling from 150 robots to 200 a month21:30 - Why all customers came inbound22:10 - Retention and repeat orders24:47 - If open source isn't the moat, what is?28:15 - Why the supply chain is a relationship, not a transaction28:36 - How to do customization without becoming a services company31:30 - How many of 1,500 new robotics startups survive 24 months?34:52 - The most technically wrong thing teams are doing in 202638:57 - What happens when your whole fleet breaks and you don't know why40:40 - What will look obvious in five years42:29 - Where to learn more about AnvilAnvil Robotics: https://anvil.botThe OPTIM Update covers real-world AI, automation, robotics, industrial systems and AI Infrastructure for founders, investors, and operators.Subscribe: https://www.optim.vc

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    Useful Now: The Case for Application-Specific Robots | Arjun Subramaniam of Factory Intelligence

    Arjun Subramaniam is the founder and CEO of Factory Intelligence - a physical AI company training tactile foundation models for industrial manipulation. He's toured 70+ factories, deployed robots on real shop floors, and is making the contrarian bet that application-specific systems beat humanoids and general-purpose foundation models right now. His first workcell has eight robots building electrical outlets for $3/hour.We cover:00:00 - Intro00:44 - What 70 factory visits taught him about deployment vs. demos02:47 - No SLA in a research paper - why factories are a different game04:23 - Why he put a packaging machinery veteran in the COO seat06:34 - The "Useful Now" thesis and where the robotics narrative is wrong08:53 - The Tesla vs. Waymo parallel for robotics10:01 - You can't buy your way into a large enough manipulation dataset10:27 - Why vision alone isn't enough for industrial tasks12:54 - The pen-in-a-bin problem: why vision-only models are too slow14:37 - Why robotics is not like LLMs - there is no single scaling law16:32 - The application-specific full-stack quadrant: why no one else is here17:12 - Best version of the model-first argument - and how he pushes back19:50 - What happens to humanoids if "Useful Now" works21:56 - Inside an electrical prefab shop - what actually happens in there23:53 - Prefab-Cell-E1: eight robots, $3/hour, 9x productivity24:44 - What "tailing an outlet" means - the actual task, step by step28:01 - Wire-bending model generalizing to colors it was never trained on29:16 - The integration trap: why custom fixtures wreck margins31:29 - When do you know deployment economics actually work32:08 - The data flywheel: why 50% success rate is the threshold33:29 - Touch is filling the gap where vision saturated35:14 - Combining neural nets with classical control - and why both matter37:44 - The world action model: image, proprioception, tactile, action, all in39:39 - You can't buy your way to multimodal data from the internet40:42 - If this works: data centers on the moonFactory Intelligence: https://factoryintelligence.comThe OPTIM Update covers real-world AI, automation, robotics, industrial systems and AI Infrastructure for founders, investors, and operators.Subscribe: https://www.optim.vc

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ABOUT THIS SHOW

Deep conversations with the founders, investors, and operators building real-world AI - robotics, automation, and industrial systems. Past the headlines, into how these technologies are really built, deployed, and scaled. Hosted by Bogdan Cristei, venture partner and former systems engineer.

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Bogdan Cristei

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