EPISODE · Jan 4, 2026 · 38 MIN
How AI Is Unlocking Materials We’ve Never Been Able to Build | Radical AI
from Startup Project: Build the future · host Nataraj
Discover how Radical AI is revolutionizing material science using self-driving labs.About the episode:Nataraj hosts Joseph Krause, CEO of Radical AI, to explore how they're speeding up material R&D by combining AI, engineering, and robotics. Joseph shares his journey from material science to venture capital, highlighting Radical AI's mission to create a self-driving lab that autonomously designs tests and discovers new materials. The episode dives into Radical AI's materials flywheel concept, their open-source engine, and how they're attracting funding to drive innovation in material science. Discover how Radical AI is set to revolutionize industries from aerospace to energy with cutting-edge material discovery.What you’ll learnUnderstand the traditional challenges hindering the commercialization of new materials and how Radical AI is overcoming them.Discover the materials flywheel concept and how it accelerates the speed of material discovery.Learn about the types of customers who are seeking new materials and the diverse applications across various industries.Explore the role of AI in simulating and experimenting with materials, and the importance of experimental validation.Understand the types of AI models Radical AI uses, including machine learning, generative AI, and computer vision.Identify Radical AI’s hiring strategy to build an interdisciplinary team across machine learning, software engineering, robotics, and material science.Comprehend the importance of experimental data in materials science and how self-driving labs capture and utilize this data.Learn about Radical AI’s stepwise approach to focus on customer-driven problems and enabling technologies.About the Guest and Host:Guest Name: Joseph Krause, Co-founder and CEO of Radical AI, aiming to revolutionize material science with AI, engineering, and robotics.Connect with Guest: → LinkedIn: https://www.linkedin.com/in/josephfkrause→ Website: https://www.radical-ai.com/Nataraj: Host of the Startup Project podcast, Senior PM at Azure & Investor. → LinkedIn: https://www.linkedin.com/in/natarajsindam/ → Substack: https://startupproject.substack.com/In this episode, we cover (00:01) Introduction to Radical AI and Joseph Krause(01:15) Joseph’s diverse background and how it led to Radical AI(05:01) Traditional ways preventing commercialization of new materials (09:06) Radical AI’s product: novel materials for aerospace, defense, and energy(11:36) Customers seeking new materials and the advantage of speed in the materials flywheel(13:39) Challenges in digital research and the importance of physical experimentation(16:18) How Radical AI picks directions for new material discovery(23:48) The AI part of Radical AI: hiring and AI models used(27:13) Predicting crystal structures with AI(31:57) Why New York is the best place for Radical AI(33:37) Joseph’s best AI use case for personal research(37:35) Material research happening at AppleDon’t forget to subscribe and leave us a review/comment on YouTube Apple Spotify or wherever you listen to podcasts.#RadicalAI #AI #MaterialScience #Robotics #DeepTech #Innovation #VentureCapital #Aerospace #Defense #Energy #NewMaterials #SelfDrivingLabs #MachineLearning #GenerativeAI #OpenSource #Podcast #Startup #Technology #Research #NVIDIA
What this episode covers
Discover how Radical AI is revolutionizing material science using self-driving labs.About the episode:Nataraj hosts Joseph Krause, CEO of Radical AI, to explore how they're speeding up material R&D by combining AI, engineering, and robotics. Joseph shares his journey from material science to venture capital, highlighting Radical AI's mission to create a self-driving lab that autonomously designs tests and discovers new materials. The episode dives into Radical AI's materials flywheel concept, their open-source engine, and how they're attracting funding to drive innovation in material science. Discover how Radical AI is set to revolutionize industries from aerospace to energy with cutting-edge material discovery.What you’ll learnUnderstand the traditional challenges hindering the commercialization of new materials and how Radical AI is overcoming them.Discover the materials flywheel concept and how it accelerates the speed of material discovery.Learn about the types of customers who are seeking new materials and the diverse applications across various industries.Explore the role of AI in simulating and experimenting with materials, and the importance of experimental validation.Understand the types of AI models Radical AI uses, including machine learning, generative AI, and computer vision.Identify Radical AI’s hiring strategy to build an interdisciplinary team across machine learning, software engineering, robotics, and material science.Comprehend the importance of experimental data in materials science and how self-driving labs capture and utilize this data.Learn about Radical AI’s stepwise approach to focus on customer-driven problems and enabling technologies.About the Guest and Host:Guest Name: Joseph Krause, Co-founder and CEO of Radical AI, aiming to revolutionize material science with AI, engineering, and robotics.Connect with Guest: → LinkedIn: https://www.linkedin.com/in/josephfkrause→ Website: https://www.radical-ai.com/Nataraj: Host of the Startup Project podcast, Senior PM at Azure & Investor. → LinkedIn: https://www.linkedin.com/in/natarajsindam/ → Substack: https://startupproject.substack.com/In this episode, we cover (00:01) Introduction to Radical AI and Joseph Krause(01:15) Joseph’s diverse background and how it led to Radical AI(05:01) Traditional ways preventing commercialization of new materials (09:06) Radical AI’s product: novel materials for aerospace, defense, and energy(11:36) Customers seeking new materials and the advantage of speed in the materials flywheel(13:39) Challenges in digital research and the importance of physical experimentation(16:18) How Radical AI picks directions for new material discovery(23:48) The AI part of Radical AI: hiring and AI models used(27:13) Predicting crystal structures with AI(31:57) Why New York is the best place for Radical AI(33:37) Joseph’s best AI use case for personal research(37:35) Material research happening at AppleDon’t forget to subscribe and leave us a review/comment on YouTube Apple Spotify or wherever you listen to podcasts.#RadicalAI #AI #MaterialScience #Robotics #DeepTech #Innovation #VentureCapital #Aerospace #Defense #Energy #NewMaterials #SelfDrivingLabs #MachineLearning #GenerativeAI #OpenSource #Podcast #Startup #Technology #Research #NVIDIA
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How AI Is Unlocking Materials We’ve Never Been Able to Build | Radical AI
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