SciBite Revenue and Competitors
Estimated Revenue & Valuation
- SciBite's estimated annual revenue is currently $11.2M per year.
- SciBite's estimated revenue per employee is $140,000
Employee Data
- SciBite has 80 Employees.
- SciBite grew their employee count by -4% last year.
SciBite's People
Name | Title | Email/Phone |
---|---|---|
1 | Head Semantic Technology | Reveal Email/Phone |
2 | Head Software Engineering | Reveal Email/Phone |
3 | VP Solutions & Professional Services | Reveal Email/Phone |
4 | Head DataOps | Reveal Email/Phone |
5 | Director Product | Reveal Email/Phone |
6 | Director Professional Services | Reveal Email/Phone |
7 | Product Manager | Reveal Email/Phone |
8 | Senior Product Manager | Reveal Email/Phone |
9 | Information Technology Program Manager | Reveal Email/Phone |
10 | Senior Scientific Curator | Reveal Email/Phone |
SciBite Competitors & AlternativesAdd Company
Competitor Name | Revenue | Number of Employees | Employee Growth | Total Funding | Valuation |
---|---|---|---|---|---|
#1 | $11.8M | 91 | 1% | N/A | N/A |
What Is SciBite?
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. SciBite's semantic software rapidly scans scientific text and identifies the key concepts stated, such as drugs, proteins, companies, targets, outcomes, measures. In doing so, unstructured text is transformed into ontology-based indexed data. 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. Whilst the platform is first and foremost a powerful API, it can easily be expanded and SciBite offer a series of end-user applications for specific use cases including relationship extraction (drugs causing side effects, phenotypes seen in disease states, regulatory authority decisions etc.), transforming the way project teams share documents and browser-based tools that perform data-integration “on the fly†and connect social networks of colleagues with shared interests. Supporting the platform, is our expert-tuned vocabularies that identify many millions of biomedical terms that use public identifiers aiding data integration and covering a wide range of Life Science topics including Drugs, Pathology, Pharmaceutical Sciences, commercial and business activities. Many-fold enriched over any publicly available alternatives, these form a crucial part of managing the synonymous and ambiguous language found in unstructured scientific text. Proud winners of the Queen's Award for Enterprise in International Trade 2019.
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Total Funding
80
Number of Employees
$11.2M
Revenue (est)
-4%
Employee Growth %
N/A
Valuation
N/A
Accelerator
SciBite News
Dr Lee Harland, Founder and Chief Scientific Officer, SciBite (an Elsevier company). Scientists working together on a research.
CAMBRIDGE, England, March 31, 2021 /PRNewswire/ -- SciBite, an Elsevier company and award-winning semantic technology company, today announced the launch of SciBiteSearch. The next-generation scientific search and analytics platform offers powerful interrogation and analysis capabilities acros ...
CAMBRIDGE, United Kingdom, Nov. 11, 2020 /PRNewswire/ -- SciBite, the award-winning semantic technology company, today announced the release of its SciBiteAI Relationship Extraction models, which provide the enhanced ability to identify complex relationships within text to further unlock insig ...
CAMBRIDGE, England, Sept. 8, 2020 /PRNewswire/ -- SciBite, the award-winning semantic technology company, today announced the launch of SciBiteAI, a state-of-the-art Artificial Intelligence software platform for leveraging machine learning models alongside semantic technologies to unlock insig ...
Company Name | Revenue | Number of Employees | Employee Growth | Total Funding |
---|---|---|---|---|
#1 | $9.6M | 80 | -14% | N/A |
#2 | $21.6M | 80 | -4% | N/A |
#3 | $11.6M | 80 | 21% | N/A |
#4 | $7.6M | 80 | 25% | $140M |
#5 | $21.6M | 80 | 135% | N/A |