SciBite text analytics and data enrichment tools help you get more from your data

SciBite’s ontology management platform CENtree(opens in new tab/window) is a centralized, enterprise-ready resource for ontology management. CENtree transforms how to maintain and release ontologies for research-led businesses.

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  Ingest multiple publicly available ontologies with one-click loading

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  Create custom ontologies from public and proprietary ontologies

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  Gain downstream insights through data mining and machine learning

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  Easily contribute and collaborate to ontology editing in a democratized process

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  Discover possible relationship connections for a given class via a deep learning component

TERMite(opens in new tab/window) (TERM identification, tagging and extraction) is a named entity recognition and extraction engine. TERMite is:

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  Interoperable: Maps your data to public ontologies to improve data interoperability

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  Ultra-fast: Processes millions of documents, e.g., the entire MEDLINE database or internal documents in minutes

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  Robust:

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    Enterprise-grade and scalable to billions of documents

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    Data mines millions of documents to identify critical mentions and relationships

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    Distinguishes “throwaway mentions” from terms that really matter

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    Applies rich vocabularies with over 20 million synonyms in 80+ topics

Workbench(opens in new tab/window) is a visual interface that allows users to annotate and cleanse tabular data, helping you build semi-automated, repeatable and scalable data FAIRification processes. Index and resolve entries to a selected standard using SciBite’s TERMite and VOCab technologies.

Workbench is:

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  Intuitive: Interactive sheet for fast and simple curation of data with terminology standards

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  Automated: Reproducible annotations using VOCabs or public/private ontologies

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  Repeatable: Store annotations and share rules to reduce the time to curate new data

SciBite Search(opens in new tab/window) enables discovery across structured and unstructured public and proprietary data. It automates semantic enrichment and annotation, transforming unstructured scientific text into clean, contextualized data free from ambiguities like synonyms.

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  Load and search across millions of documents from a variety of sources, such as MEDLINE, clinicaltrials.gov and Sharepoint

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  Search structured database-type information and unstructured data, like Word docs, PowerPoints and PDFs

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  Leverage domain-specific ontologies — answer complex questions and build a semantically linked network of documents