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Discover how SciBite’s powerful solutions are supporting scientists and researchers.

Use Cases Overview

Bioassay Registration Departmental Search Drug Safety Electronic Laboratory Notebooks
Enterprise Fair Data LLMs & GenAI Knowledge Graphs Target Validation + Drug Repositioning
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Revolutionize your relationship with data through a powerful mix of user-friendly solutions

From ontology management to text analytics, semantic search, GenAI and datasets, SciBite gives you and your team the ability to explore, manage, sort, enhance, combine and share data from millions of sources with ease.

Unlock previously inaccessible insights, draw more robust conclusions and boost the effectiveness of your team, your research and your experiments.
Fueling R&D innovation with SciBite solutions and Elsevier datasets

SciBite’s text mining and semantic enrichment tools harmonize data to uncover insights hidden within large datasets. Together with Elsevier’s enriched databases, researchers can efficiently access, link, and analyze high-quality information across millions of diverse scientific data sources.

This synergy removes the challenges associated with data interoperability and siloed storage and accelerates discovery through advanced analytics and predictive modeling for better evidence-based decision-making in R&D.
Why choose SciBite?
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Award-winning technology

All our solutions were developed with an API-first approach. This means that they’re widely compatible with a huge range of tools and interfaces used by the scientific community.
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Genuine domain expertise

Our team is made up of highly skilled ontologists, biocurators and researchers, with specialisms in all aspects of science, from biochemistry to genetics, neuroscience and beyond. We’ve also got the data science knowledge and technology experience to deliver solutions that get results, which are now further enhanced by the expertise and resources of Elsevier and our parent organization, RELX.
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Commitment to quality data

Our team and technology combined enable us to raise data standards and ensure that the outputs you receive from SciBite are better and more useful than anything else on the market.
Ontology Management Unlock insights from huge volumes of data with ease

Our ontology management solutions enable organizations to develop bespoke ontologies which, when used with TERMite – our text analysis engine,  can analyze and tag massive amounts of documents, results and records to create indexed, searchable machine-readable data in minutes.

With years of domain expertise on our team, we’re able to curate highly effective ontologies that understand the context of your field and implement rules that eliminate false positives and enable you to get better results from your data.

Our expertise in handling a huge variety of data types, combined with our relationship with Elsevier, enables us to enhance your ability to create, view, edit and share information relating to data from a wide range of sources and applications.

All this can be seamlessly integrated into your existing tools and interfaces too, thanks to widely compatible API integrations. So, you can start using SciBite with little disruption and begin enjoying the benefits of flexibility, customization, scalability, collaboration and more.

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Key features
  • Create specialized ontologies
  • Analyze and tag documents easily
  • Make your data machine-readable
  • Integrates seamlessly into existing systems
  • Enables wider collaboration
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Text analytics and semantic enrichment Process, catalog and tag documents with sophisticated named entity recognition

We’ve developed specialized VOCabs that go beyond simply spotting terminology to instead implementing named entity recognition in a way that generates truly useful machine-readable data. These VOCabs can be completely bespoke, developed from publicly existing information or even tailored to include terminology that’s unique to your organization.

The curation process begins by testing the existing public or custom ontology using TERMite (our named entity recognition software) to identify gaps. We then take steps to refine ambiguous terms to improve accuracy, like making synonyms case sensitive for example. We also take the time to add classes that ensure missing entities and synonyms are added to ensure all gaps are covered. Finally, we refine names to ensure that uninformative or ambiguous class names are either clarified or replaced.

Throughout this process we test and refine to achieve precise and contextual matches before releasing the VOCab. We then continue to update the VOCab to ensure that you’ll be consistently be able to uncover previously hidden meanings and insights from full-text documents faster than ever before.

 

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Key features
  • Unlock insights from full-text documents easily
  • Get quality outputs without false positives
  • Create VOCabs that are unique to your organization
  • Integrates seamlessly into existing systems
  • Support from a team of scientific experts
Semantic Search Find specific, comprehensive scientific data using expertly curated ontologies

SciBite’s semantic search function equips scientists with the tools they need to manage significant volumes of data using specially curated VOCabs that have been derived from public ontologies. With semantic search, you can reduce the number of searches you need to perform, which makes it easier to stay up-to-date with all the latest data.

Searching for subtle nuances in terminologies, variants and references can be complex, time-consuming and open to human error. SciBite semantic search’s user-friendly interface suggests relevant query terms as you type, so you can harness SciBite’s expertise in ontologies and VOCabs and conduct simple searches that return all relevant data you need, regardless of which synonym you use.

 

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Key features
  • Streamline search strategies using expertly curated VOCabs
  • Reduce the need for multiple searches
  • Capture precise, far-reaching results with fewer errors
  • User-friendly interface suggests relevant query terms as you type
  • Seamless integration with public and proprietary data sources
  • Internal data indexing with full integration into existing workflows
Datasets Realize the full potential of diverse data sources with advanced technology

Our platform seamlessly harmonizes a variety of datasets, making them interoperable and providing you with a unified and comprehensive view of critical information. Like many of our customers, you likely have multiple sources from which you wish to make connections and gain insights. We recognize this challenge and are well-versed in working with data from various origins, be they public, third-party or proprietary.

Elsevier data sources
Our relationship with Elsevier also gives us access to comprehensive, high-quality datasets that provide clear data provenance and support evidence-based decisions.

Publicly available sources
We have extensive experience with publicly available sources such as PubMed, ClinicalTrials.gov, the European Patent Office, and more, ensuring these datasets are harmonized and interoperable.

 

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Key features
  • Full-text scientific, technical and medical research from ScienceDirect
  • Chemistry and bioactivity data from Reaxys
  • Medical research literature and conference abstract data from Embase

 

  • Expertly curated abstract and citation data from Scopus
  • Structured biological relationships data from Embiology
  • Pharmaceutical data from regulatory documents from PharmaPendium
  • Additional datasets from third parties
  • Integrate your own proprietary data seamlessly
Let’s discuss what SciBite can do for you

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