List of Ai2 Semantic Scholar Customers
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Since 2010, our global team of researchers has been studying Ai2 Semantic Scholar customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Ai2 Semantic Scholar for Natural Language Processing from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Ai2 Semantic Scholar for Natural Language Processing include: IntechOpen, a Croatia based Media organisation with 50 employees and revenues of $5.0 million, Semantic Scholar, a United States based Professional Services organisation with 54 employees and revenues of $5.0 million and many others.
Contact us if you need a completed and verified list of companies using Ai2 Semantic Scholar, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Ai2 Semantic Scholar customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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IntechOpen | Media | 50 | $5M | Croatia | Allen Institute For Artificial Intelligence | Ai2 Semantic Scholar | Natural Language Processing | 2024 | n/a |
In 2024, IntechOpen deployed Ai2 Semantic Scholar on its website, Apps Category . The deployment was provisioned by Allen Institute For Artificial Intelligence and focused on embedding Ai2 Semantic Scholar search and semantic indexing into the public content discovery layer of the IntechOpen web platform. The implementation leveraged Ai2 Semantic Scholar capabilities, including semantic search, citation relationship surfacing, and relevance ranking, to improve retrieval across research books and chapters hosted on the site.
Operational scope covered the web platform and core editorial and user experience functions, with implementation work concentrated on API based indexing, metadata mapping between IntechOpen content fields and Ai2 Semantic Scholar ingestion, and front end integration to surface recommendations and related works. Governance centered on editorial ownership of taxonomy alignment, scheduled reindexing processes, and data quality checks to ensure accuracy of semantic matches and citation links. The narrative describes Ai2 Semantic Scholar as the embedded semantic discovery layer for IntechOpen, connecting the application, content operations, and site search experience.
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Semantic Scholar | Professional Services | 54 | $5M | United States | Allen Institute For Artificial Intelligence | Ai2 Semantic Scholar | Natural Language Processing | 2019 | n/a |
In 2019 Semantic Scholar implemented Ai2 Semantic Scholar on its public Website, embedding Ai2 Semantic Scholar discovery and search capabilities into the organization’s web properties. The deployment centered on exposing scholarly search, paper detail pages, author profiles, and citation-aware relevance across site content to support research discovery workflows for external users.
Configuration work included instrumenting the Ai2 Semantic Scholar search surface for site-facing queries, integrating REST-style retrieval calls into page templates, and configuring indexing cadence and metadata mapping to align internal content schemas with the application’s document model. Functional modules implemented included full-text and metadata search, citation graph linking, relevance ranking, and author and paper profile rendering, consistent with common scholarly search and discovery capabilities.
Operational scope targeted the Website as the primary channel, with product and content teams responsible for ongoing content mapping, taxonomy adjustments, and indexing governance. Rollout governance emphasized update cadence and content quality controls to maintain index accuracy, and monitoring was focused on query performance and content coverage rather than back-end system replacement activities.
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Buyer Intent: Companies Evaluating Ai2 Semantic Scholar
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