Scholar and Semantic Scholar are broad but shallow on analysis. AI-native tools like Elicit and Consensus go deeper on synthesis but rely on mainstream coverage. Commercial intelligence platforms like CB Insights track companies but not the underlying science. Genius Radar combines a serious data layer (tens of millions of works, modelled on OpenAlex with proprietary enrichments), domain-tuned semantic search, automatic entity extraction, and a Model Context Protocol integration that makes the database directly usable by AI agents. The result is a platform that meaningfully compresses the time required to evaluate a research question, a researcher's trajectory, or a technology's foundations — work that today is split between expensive external advisors, manual literature review, and tools that don't quite fit the job. Genius Radar is built for researchers, investors, technology scouts, and developers building research-aware AI workflows. The platform is in active development with paying use cases under negotiation and an MCP integration already used by several AI-tooling teams.