Deep Search uses state-of-the-art AI to convert, search, and make use of information fragmented across organizations and the public domain.
High quality, with no user intervention. Upload and forget
Deep Search imports and analyzes data from public, private, structured, and unstructured sources such as journal articles, patents, or technical reports. AI then breaks down the data and classifies it into fundamental parts. After reviewing unstructured data, the model classifies all documents into their fundamental parts. By using this AI model and NLP (Natural Language Processing), Deep Search is able to ingest and understand large collections of documents and unstructured data at scale. Once the data has been consolidated and extracted, Deep Search organizes and structures it into a searchable knowledge graph — enabling users to robustly explore information extracted from tens of thousands of documents without having to read a single paper.
Information from PDF text, tables, charts, and images is parsed and assembled into a JSON file for further use or export
Upload your own documents, or search millions of pre-loaded technical documents from the public domain, including Patents, News, and Open-Access Publications
Enrich converted documents with detected entities and related statistics and their units
Third-party data sources made available to tune models on specific chemistry domains
