South Korea has shifted its AI strategy from pure software toward “Physical AI”—a government-backed push into robotics, smart manufacturing and embodied agents. By leveraging its existing hardware strengths and funneling billions in grants, the country aims to become a global leader in next-gen intelligent machines. Universities, startups and research centers are all part of this coordinated plan, but nearly all filings, patents and funding announcements appear in Korean. That language barrier turns Seoul’s emerging tech ecosystem into a black box for foreign investors and analysts. Machine translation can’t capture the nuance of technical papers or the terms of government grants. Without clear, timely insights into who’s raising capital or publishing breakthrough work, outsiders risk missing the next big robotics player or innovative smart-factory solution. Fulcrum tackles that gap with a specialized intelligence platform. It scrapes Korean-language sources—news sites, patent databases, university publications—then translates and structures the data into searchable dashboards. Individual researchers pay $49 per month for full access; small teams can subscribe at $249 for multi-user seats and CSV exports. Enterprise clients tap an API for direct data integration. The real advantage lies in Fulcrum’s growing archive. Every translated patent, grant notice and technical report adds to a proprietary dataset that new competitors would struggle to replicate. A lean MVP can launch fast: Python with FastAPI, PostgreSQL, Scrapy for crawling and a Next.js front end. With that foundation, foreign investors get a live, high-resolution view of Seoul’s AI supply chain as it takes shape.