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We use AI and quantum-based simulations to discover and develop new materials for defense and dual-use applications, from energetics and propellants to carbon fibers, polymers, coatings and composites. Developing a new material today takes 10+ years of trial-and-error lab work.
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New accelerator entry · 2026-10-11 · the record
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We use AI and quantum-based simulations to discover and develop new materials for defense and dual-use applications, from energetics and propellants to carbon fibers, polymers, coatings and composites. Developing a new material today takes 10+ years of trial-and-error lab work. We compress that to months, using physics-based simulation, machine learning and AI agents that only send labs candidates that can actually be made. Sam, Ofir and Maor have spent the past two years researching the discovery of these exact materials together at the Technion lab of our CSO, Prof. Alon Grinberg Dana (former MIT postdoc), working directly with defense primes and government R&D agencies. Together we bring deep expertise in chemical engineering, computational chemistry and AI, and the production systems to put them to work. ChemPilot spun out of that work. The defense and dual-use industrial base runs on materials with fragile, sole-source and often adversarial supply chains, from energetics and propellants to carbon fibers, high-temperature composites and specialty polymers. Demand for new capabilities is surging, and materials take decades to develop. The West needs new materials it can make securely, fast and cheap - ChemPilot will help find and develop them.
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Molecular discovery at the intersection of AI and physics: generative models propose, quantum chemistry validates - one continuous workflow for data-limited materials domains.
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Example from a real report (our sample on Target): “The Q2 2026 earnings report, published August 19, 2026, showed adjusted EPS of $2.46 against an expected $2.33” Source: CNBC
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