NeuralIR
NeuralIR makes it easier to find and mine scholarly information by applying AI to diverse research content so teams can discover emerging research faster. It uses neural information retrieval and large-scale content-mining techniques to index and rank items across formats including social media feeds, preprints, MOOCs, code libraries, tables, and research datasets. The product operates as a B2B SaaS platform serving research institutions, publishers, and corporate R&D teams. Core technologies include neural retrieval models, vector embeddings, and scalable data ingestion pipelines to handle varied scholarly communication forms at scale.
NeuralIR
NeuralIR makes it easier to find and mine scholarly information by applying AI to diverse research content so teams can discover emerging research faster. It uses neural information retrieval and large-scale content-mining techniques to index and rank items across formats including social media feeds, preprints, MOOCs, code libraries, tables, and research datasets. The product operates as a B2B SaaS platform serving research institutions, publishers, and corporate R&D teams. Core technologies include neural retrieval models, vector embeddings, and scalable data ingestion pipelines to handle varied scholarly communication forms at scale.