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An integrated system in which AI models form hypotheses, run quantum-mechanical simulations, and plan chemical syntheses, while robotic laboratory hardware executes those experiments autonomously and feeds results back as training signal. The platform is designed to generate proprietary experimental data rather than rely solely on internet-scale text, compressing R&D cycles in physics and chemistry. Initial applications target the discovery of higher-temperature superconductors and materials for semiconductor heat dissipation, with custom AI agents helping manufacturers analyze experimental data.