Latest News
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Dec 20, 2025
Radical AI Signs Memorandum of Understanding with the U.S. Department of Energy
Today, Radical AI announced a Memorandum of Understanding with the U.S. Department of Energy to advance AI-driven materials discovery in support of the Genesis Mission.
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Aug 25, 2025
Radical AI Awarded U.S. Air Force Contract
For the Accelerated Discovery of Novel High Entropy AlloysNEW YORK, NY — Radical AI has been selected by AFWERX for a Direct-to-Phase II contract in the amount of $1,197,902 focused on the accelerated discovery of novel high entropy alloys (HEAs) with enhanced thermomechanical properties to address the most pressing challenges in the Department of the Air Force (DAF). Traditional alloys cannot endure the extreme conditions of hypersonic flight, creating ...
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Jul 18, 2025
Radical AI announces $55M in new funding
Funding accelerates our mission to revolutionize materials developmentHuman intellect has enabled remarkable scientific progress through a process of hypothesis, intuition, and deep experience. This same intellect has propelled humanity through millennia, driving material advancements from the earliest tools and the smelting of steel to the revolutionary power of transistors and artificial intelligence. Today, many of the world’s biggest problems – space exploration...
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Jun 30, 2025
Radical AI's Proposal to the White House OSTP
A recommendation to make AI for materials science a core part of the 2025 AI R&D Strategic Plan.On May 29th, Radical AI shared our recommendations with the White House Office of Science and Technology Policy (OSTP) for the 2025 National Artificial Intelligence Research and Development Strategic Plan, a critical roadmap for the future of American innovation. In response to the request for information, Radical AI has submitted a comment outlining a strategic imperative: positioning AI-driven m...
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Apr 24, 2025
EGIP: Another step forward in ML-first materials
We demonstrate that machine learning approaches to materials prediction achieves state-of-the-art accuracy and best-in-class efficiency and performance.Today, Radical AI announces Efficient Geometric Interatomic Potential (EGIP), our first-generation interatomic potential that confirms the performance and speed benefits of direct force prediction.
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Apr 4, 2025
Introducing TorchSim
A next-generation atomistic simulation engine for the MLIP era.Today, we are thrilled to release TorchSim, a next-generation PyTorch-native atomistic simulation engine for the MLIP era. Using this technology, we unlock the path for a scientist to change the way they approach simulation, allowing them to simulate materials orders of magnitude faster.
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Jan 10, 2025
Announcing Radical AI
Discovering and developing a novel material used to take 15-25 years and over $100M for a single materials system. Not anymore.