Semantic Scholar vs Stilta

Stilta is a specialized patent analysis platform: it performs element-by-element claim mapping for infringement, steerable prior-art search for invalidity, and automated feature decomposition with risk scoring for freedom-to-operate. It searches across 180M+ patents, scientific literature, file wrappers, and an internet archive (since 1995), delivering source-cited evidence with direct links. Its agent-driven search achieves 100% recall on PTAB IPR benchmarks versus ~18% for general LLMs, with a median answer in ~17 minutes. Semantic Scholar, by contrast, is a general scientific literature discovery tool with natural language search, TLDR summaries, and citation graphs across 236M+ papers. Its Semantic Reader beta provides an augmented reading interface. While Stilta offers portfolio mode for thousands of patents and per-tenant isolation, Semantic Scholar provides personalized recommendations via Scholar's Hub and collaborative filtering. Stilta integrates with patent databases; Semantic Scholar offers a free REST API with documentation and Python support, plus Zotero integration. Neither tool provides citation management or collaboration features, but Semantic Scholar's API enables custom scholarly apps.

Stilta uses a contact-sales model with per-tenant isolation and zero AI training on user data, indicating a high-ticket enterprise price suited for law firms and corporate IP departments. Semantic Scholar is completely free for all users, with no paywall or premium tiers — its API, TLDR summaries, and Semantic Reader are all included at no cost. This makes Stilta inaccessible for individual inventors or small entities on a tight budget, while Semantic Scholar is an excellent choice for budget-constrained researchers, students, and developers. There is no middle ground: Stilta targets high-stakes legal work, Semantic Scholar targets open scholarly discovery.