-
Text Analytics + Semantic Enrichment
Transform previously unusable text to data in a richly annotated, machine-readable and standardise data formats
Learn more -
Ontology Management
Harmonise technology through scientific ontologies adhering to public standards, whilst curating vocabularies
Learn more -
Enterprise FAIR Data
The challenges of harmonising data to be Findable, Accessible, Interoperable and Reusable
Learn more -
Semantic Search
Semantic search, visualise results, integrate into your existing platforms and automate your workflows
Learn more -
Artificial Intelligence
Combine deep learning and semantic algorithms to build powerful models that can exploit life science data and accelerate its use in R&D
Learn more -
Knowledge Graphs
Semantic enrichment technology that facilitates the production of knowledge graphs
Learn more
Why choose SciBite?
At SciBite, we're passionate about helping our customers get more from their data. We love what we do and we think you'll love working with us, here's why...
-
Built by scientists for scientists
Our suite of semantic solutions is the culmination of the perfect storm of tens of years of experience
-
Unique deep learning approach
Transforming previously unusable but scientifically relevant textual content into machine-readable clean data
-
Putting customers at the heart
Our philosophy is to listen, engage & work together with our customers to make ground-breaking achievements
-
Supporting the top 20 pharma
Our customers are utilising higher quality data, integrating more data much faster with greater accuracy
Our customers
News and opinion
-
Exploring Breast Cancer Biomarkers with a Literature Biomarker Database
In this piece we'll show how natural language processing can be applied to build a searchable database of disease biomarkers, presented in the context of their corresponding scientific publications. To illustrate the power of this approach we'll focus on examples of protein biomarkers relating to Breast Cancer.
Read -
SciBite launches SciBiteAI Relationship Extraction models
SciBite announces the release of SciBiteAI Relationship Extraction models, which provide the enhanced ability to identify complex relationships within text to further unlock insights from Life Sciences data.
Read -
Using the SciBite Knowledge Graph to Explore Biomedical Literature
“Do you have a pre-made knowledge graph covering biomedical literature?” is a question we often hear at SciBite. The answer is yes we do, and in this blog post we’ll describe what our SciBite Knowledge Graph is, its content and the types of questions it can answer.
Read
© SciBite Limited / Registered in England & Wales No. 07778456
