Radical AI: $55 Million Series Seed+ Raised For Advancing Materials Research

By Amit Chowdhry ● Today at 6:21 AM

Radical AI is a company focused on transforming materials science and advanced manufacturing through the power of artificial intelligence. Its core mission is to dramatically accelerate the discovery, development, and production of new materials, which has traditionally been a slow and resource-intensive process. The company announced a $55 million Series Seed+ funding round led by RTX Ventures, with participation from NVentures (NVIDIA’s VC arm), Noa, Infinite Capital, Eni, AlleyCorp, and others.

Radical AI revolutionizes materials research by removing the inherent fragmentation in human-driven research and development. This means treating a material’s digital blueprint, its physical creation, and its real-world performance not as separate events but as a single, continuous stream of intelligence. This is achieved through:

— AI-based R&D – Unlike traditional approaches relying on trial and error, Radical AI employs advanced AI and machine learning to predict material properties, design new compositions, and optimize manufacturing efficiently.

— An integrated system for scientific intelligence – The company is developing a comprehensive, integrated system that seamlessly combines several key components

— Theoretical computation – Using computational models to simulate material behavior and predict characteristics.

— Machine Learning – Applying AI to analyze large datasets and identify patterns that human researchers might overlook.

— Experimental Data – Integrating results from physical experiments to improve models.

— Robotic Labs (Self-Driving Labs) – Automating experimental procedures and data collection allows continuous iteration and discovery without constant oversight. This method sees each stage—from digital design to physical creation and real-world performance—as a continuous flow of insights.

— Autonomous discovery – The company’s AI synthesizes insights from various sources like scientific literature, simulations, and real-time data, accelerating breakthroughs and finding new connections beyond human researchers.

— Solving major challenges – Radical AI seeks to address major global issues like space exploration, clean energy, advanced transportation, security, biotech, and semiconductors, all limited by advanced material availability.

 

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