Company

Our mission is to help you better understand the complexities of life sciences.

Our Vision

Big data analytics, scientific search and literature analysis – for too long it has been a challenge to integrate, extract and analyse knowledge locked within unstructured biomedical text.

Increasing volumes and varieties and sources of information are only adding to the problem.

We think it’s about time things changed for the better

At SciBite, we’ve created a suite of award-winning semantic analytics technology solutions in which unstructured and structured data are easily connected and can be used together for better informed decision making.

Our Approach

Our approach is to help you navigate the right path. Supporting the top 20 pharma with use cases across life sciences, our ontology-led solutions understand the complexity and variability of scientific content, yet are still simple to use.

SciBite empowers customers with a powerful platform that can quickly identify and extract scientific terminology from unstructured text and transform it into valuable machine-readable clean data, making it a critical component in scientific data-led strategies.

Flexibility is key

Our modular platform provides the flexibility to implement a simple, easy to deploy solution fit for a broad range of purposes.

Multiple deployment options from pre-built end-user applications through to 3rd party application integration mean that the value of semantics can now reach a much broader audience than ever before.

Our Solutions

Whether it’s large scale analysis of biomedical literature or the enrichment of existing software infrastructures, our semantic solutions can and should play an integral part in all.

We believe in partnerships and will happily work with or to enrich 3rd party offerings to ensure you as the customer see more value in your existing investments whilst we can focus on our primary mission in bringing the power of semantics to a wider audience.

Our Platform

At the core of it all is TERMite, our named entity recognition (NER) and extraction engine.

Coupled with our expert-tuned VOCabs that identify 100s of millions of biomedical terms, it can recognise and extract relevant terms found in scientific text transforming unstructured content into rich, machine-readable clean data.

Our semantic search application DOCstore is indexed by TERMite and powered by elastic designed to change the way you manage and interact with biomedical content of multiple formats and sources.

Simple in design and deployment, the core technologies can be accessed directly via their end user interfaces, programatically through their APIs or embedded into 3rd party architecture as a semantic layer.

Our Culture

Openness to new ideas – from whatever source – and genuinely collaborative working is our approach to best manage the ever-changing environment in which we work.

This change is only compounded by new and disruptive technology, yet along the way are many opportunities and many pitfalls.

Explore our use cases or get in touch with the team to understand the impact of our technology in the real world.

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How could the SciBite semantic platform help you?

Get in touch with us to find out how we can transform your data

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