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Lets research teams semantically search over 100 million papers and visualize how they relate to each other.
Inquisite is a research platform built by two Duke University faculty members, organized as a public benefit corporation, aimed at science and R&D teams rather than individual students. It indexes more than 100 million research papers for semantic search, lets users build projects around a research question, and generates visualizations of how papers and findings relate to each other. Users can choose between several underlying language models for the analysis and synthesis steps. The site requires an account to use beyond the marketing pages, and no pricing is published publicly.
No public pricing page; the product requires signing in, and enterprise or team pricing appears to be handled by contacting the company.
Use tool ↗Inquisite targets science and R&D teams rather than students, with a semantic search index built for finding related work across a large paper corpus and turning it into project-organized synthesis. Coming out of a university research background gives it some credibility on the science side, but the lack of public pricing makes it hard to evaluate against competitors without contacting sales.
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