SciBite
SciBite is a Cambridge-based semantic analytics software company and Elsevier subsidiary that provides ontology-led text analysis, semantic search, and conversational AI for pharmaceutical, biotech, consumer goods, and chemical enterprises.
- Company typePrivate
- Founded2012
- HeadquartersCambridge, United Kingdom
- Headcount51–100
- GTM typeB2B
- OfferingSoftware
What SciBite does
SciBite is a Cambridge, UK-based semantic analytics software company serving pharmaceutical, biotechnology, consumer goods, and chemical enterprises. The company is a wholly-owned business unit of Elsevier Ltd., operating since approximately 2012 with a headcount in the 51-100 range. Its platform centers on an ontology-led approach that combines curated biomedical vocabularies with named entity recognition, semantic search, and a proprietary ontology-based Retrieval Augmented Generation architecture.
Core products include CENtree for enterprise ontology management (supporting 80+ public ontologies and 50+ SciBite VOCabs), the TERMite NER engine for converting unstructured scientific text into machine-readable entities, SciBite Search for natural language scientific queries, and SciBite Chat, a conversational AI interface launched at Bio-IT World 2024. The underlying VOCabs dataset contains tens of millions of manually curated synonyms covering 120+ life science entity types. Supporting offerings include harmonized datasets, Expert Ontology Services for bespoke vocabulary creation, and a Data Science and Professional Services (DSPS) team for tailored implementations.
SciBite sells primarily through direct enterprise field sales on a subscription and professional services basis, with API-first and flexible SaaS or on-premises deployment. It monetizes an enterprise B2B software motion targeting large pharma R&D organizations (including Pfizer, Novartis, Sanofi, GSK, Takeda, Roche, Eli Lilly, BMS, and Merck), biotechs (Biogen, Novo Nordisk), consumer goods companies (Unilever, Nestle), and chemicals (Johnson Matthey, Croda, Novozymes). Pricing is quote-based rather than public, reflecting a consultative sales approach tied to multi-year contracts and implementation services.
SciBite firmographics
Firmographics- Name
- SciBite
- Legal name
- SciBite (a business unit of Elsevier Ltd.)
- Website
- https://scibite.com
- Company type
- Private
- Founded year
- 2012
- Operating status
- Operating
- Headcount range
- 51–100 employees
- Short description
- SciBite is a Cambridge-based semantic analytics software company and Elsevier subsidiary that provides ontology-led text analysis, semantic search, and conversational AI for pharmaceutical, biotech, consumer goods, and chemical enterprises.
- Ownership category
- akta.pro rank
SciBite industry classification
Industry- Product category
- Life Sciences Semantic Analytics Software
- NAICS
- Software Publishers (5132), Web Search Portals and All Other Information Services (519290), Other Scientific and Technical Consulting Services (54169)
- SIC
- Services-Prepackaged Software (7372)
- akta.pro primary industry
- Knowledge Management & Scientific Collaboration / Literature Intelligence (HLAGAJAN)
- akta.pro secondary industries
- Scientific Data Management & Data Platforms (SDMS/Data Lakehouse for R&D) (HLAGAJAC), Enterprise Search, Indexing & Content Discovery (HDAEAGAH)
Keywords
Where SciBite is headquartered
LocationHeadquarters
- HQ city
- Cambridge
- HQ country
- United Kingdom
- HQ region
- Europe
Offices1 record
Markets served
SciBite business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Operations, Marketing or Sales, Infrastructure
Revenue model
- Enterprise Software Licenses and Subscriptions: SciBite offers enterprise software solutions including TERMite, CENtree, SciBite Search, and SciBite Chat as licensed products, likely sold through annual subscriptions or multi-year contracts to pharmaceutical and life sciences enterprises
- Data Science and Professional Services: The company provides DSPS (Data Science and Professional Services) alongside software products, offering implementation, consulting, and custom ontology development services
- Expert Ontology Services: Specialized services for custom vocabulary creation, ontology development for domains without public sources, and semantic pattern creation for specific text extraction needs
Go-to-market motion1 record
Distribution channels2 records
Marketing channels7 records
SciBite product offering
Product offeringCore offering
SciBite provides ontology-led semantic analytics software for the life sciences industry. Its platform combines curated biomedical vocabularies (VOCabs) with proprietary named entity recognition (TERMite), enterprise ontology management (CENtree), semantic search (SciBite Search) and a conversational AI chatbot (SciBite Chat) to convert unstructured scientific text into machine-readable, FAIR-compliant data for pharmaceutical, biotech and chemical organizations.
Product overview
SciBite is a semantic analytics software company providing an integrated platform of ontology-led solutions for life sciences. The core portfolio comprises four main product lines: (1) CENtree Ontology Manager for enterprise ontology management supporting 80+ public ontologies and 50+ VOCabs; (2) TERMite Text Analysis Engine for NER-based semantic enrichment; (3) SciBite Search and SciBite Chat for semantic search and conversational AI; and (4) Expert Ontology Services and Data Science Professional Services for custom implementations. Supporting these are VOCabs (manually curated vocabularies with 120+ entity types and tens of millions of synonyms) and harmonized Datasets. Solutions are organized around key use cases: Knowledge Graph building, Enterprise FAIR Data, Drug Safety, ELN Integration, and GenAI/LLM applications. All solutions share an API-first architecture enabling seamless integration and combined use.
Differentiator
Problem solved
Functional benefit
Brands
- TERMite: TERM identification, tagging & extraction engine - a named entity recognition (NER) engine for scientific text
- CENtree
- SciBite Search
- SciBite Chat
- VOCabs
Products and services
- CENtree Ontology Manager
Quantifiable outcome
- Curation workload reduced by approximately 75% using LLM-enhanced ontology translation workflows
- +3 more outcomes
Companies that use SciBite
Customer profileNamed customers16 records
Segments4 records
Ideal customer profiles3 records
SciBite technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration10 records
AI capability10 records
Feature6 records
SciBite partnerships and signals
Strategic signalPartnerships
Ten partnerships are on record, tiered core, general and key.
- ElseviercoreElsevier is the parent company of SciBite. SciBite operates as a subsidiary within Elsevier, with the copyright notice stating 'Copyright © 2025 Elsevier Ltd., its licensors, and contributors.' The Elsevier logo is prominently displayed on SciBite's website.
- Pistoia AlliancecoreSciBite actively participates in Pistoia Alliance projects including ontology mapping initiatives for biomedical ontologies and hosted workshops on democratizing data and LLMs. The company collaborates on pre-competitive research benefiting the pharmaceutical industry.
- Clinical Data PartnersgeneralPartnership category for integrating clinical data with ontologies to explore new connections and develop greater understanding of clinical datasets.
- Enterprise Search PartnersgeneralCollaboration with leading enterprise search platforms to boost search accuracy for pharma and biotech companies, enabling more data-driven decisions.
- Data Management Platform PartnersgeneralIntegration partnerships that increase automation capabilities, deliver better data governance, and simplify data architectures for customers.
- Knowledge Graph PartnersgeneralCollaboration with leading data analytics companies to support delivery of high volumes of clean, machine-readable data using methods that outperform traditional techniques.
- ELN PartnersgeneralPartnerships with Electronic Laboratory Notebook providers to deliver semantic search capabilities for more effective annotation and knowledge unlocking from ELN data.
- OBO FoundrygeneralSciBite leverages OBO Foundry ontologies as part of its standard offerings. The OBO Foundry is a collaborative ontology ecosystem that SciBite imports and integrates into its platform.
- EMBL-EBIgeneralCollaboration with EMBL-EBI on ontology mapping projects through the Pistoia Alliance. Mappings are made available through the Ontology Xref Service (OxO) tool.
- TakedakeyTakeda collaborated on the TIDVal Ecosystems of FAIR Data Lakes webinar, exploring FAIR Data Lakes and AI/ML techniques for drug discovery. Marcin von Grotthuss, Director of AI/ML Enablement at Takeda, presented on One Research Digital initiatives.
Scale indicators6 records
Recent moves6 records
Expansion highlights6 records
SciBite competitors and assessment
Company assessmentBroad incumbents
- Veeva Systems: Major life sciences cloud platform covering clinical, regulatory, and commercial workflows. Serves overlapping enterprise pharma customers with data integration and document/knowledge management capabilities that intersect SciBite's semantic search and regulatory compliance use cases.
- Clarivate: Large life sciences and IP analytics platform providing comprehensive pharma R&D data and workflow tools including Cortellis. Overlaps with SciBite in pharma competitive intelligence, drug pipeline data, and R&D analytics.
- Sinequa: Enterprise search and analytics platform with deep NLP and AI features used by pharma and life sciences customers. Competes with SciBite Search and Chat for semantic enterprise information retrieval deployments.
- IQVIA: Global clinical and life sciences data/analytics leader that acquired Linguamatics. Provides deep pharma R&D analytics, real-world evidence, and semantic search capabilities that compete with SciBite's enterprise offerings.
Direct peers
- Averbis: German text analytics and NLP platform with healthcare and life sciences focus, offering semantic search and entity extraction. Comparable to SciBite's TERMite engine and ontology-led approach for biomedical and clinical text.
- Ontotext: Enterprise knowledge graph and semantic technology provider with GraphDB and text analytics products. Comparable to SciBite's CENtree and ontology-led semantic enrichment across multiple verticals including life sciences.
- Linguamatics (IQVIA): Direct semantic NLP/text mining platform for life sciences, now part of IQVIA, focused on biomedical text analytics for pharma R&D. Closely overlaps SciBite on use cases, target customers, and NER/semantic search technology.
- BioSymetrics: AI-driven biomedical and phenotypic analytics company offering semantic data integration for life sciences R&D. Competes with SciBite in ontology-anchored analytics and translational research workflows.
Emerging players
- Dotmatics: Scientific R&D platform offering ELN, data management, and analytics for life sciences. Competes with SciBite's ELN integration and FAIR data solutions across biotech and pharma research workflows.
- Benchling: Cloud platform for life sciences R&D spanning ELN, registry, and analytics. Competes adjacent to SciBite in scientific data capture and FAIR data enablement for biotech and pharma research teams.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks5 records
Key highlights6 records
Customer concentration
SciBite social profiles
Digital presenceSciBite financial estimates
Financial estimateRevenue estimate
Valuation estimate
SciBite leadership team
Management profileNumber of profiles
Profiles9 records
SciBite funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
SciBite M&A and investment
M&A and investmentM&A1 record
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about SciBite
What does SciBite do?
SciBite provides ontology-led semantic analytics software for the life sciences industry. Its platform combines curated biomedical vocabularies (VOCabs) with proprietary named entity recognition (TERMite), enterprise ontology management (CENtree), semantic search (SciBite Search) and a conversational AI chatbot (SciBite Chat) to convert unstructured scientific text into machine-readable, FAIR-compliant data for pharmaceutical, biotech and chemical organizations.
Is SciBite a public or private company?
SciBite is a private company. It is classified as corporate owned and is currently operating.
When was SciBite founded?
SciBite was founded in 2012. It employs 51 to 100 people.
Where is SciBite based?
SciBite is headquartered in Cambridge, United Kingdom, in the Europe region.
How does SciBite make money?
Three revenue lines are on record. Enterprise Software Licenses and Subscriptions are the primary driver. The others are data Science and Professional Services and expert Ontology Services.
Who are SciBite's main competitors?
Broad incumbents on record are Veeva Systems, Clarivate, Sinequa and IQVIA. Direct peers are Averbis, Ontotext, Linguamatics (IQVIA) and BioSymetrics. Emerging players are Dotmatics and Benchling.
Does SciBite have an API?
Yes. SciBite's software infrastructure is described as 'API-first' with seamless integration capabilities. The system is designed to integrate with existing applications and workflows. The website states 'Augmenting your application with SciBite's semantic software solutions means your customers can unlock the hidden value in their data.' SciBite Search features 'API-first' design philosophy allowing integration with existing systems or custom interface creation. CENtree is explicitly described as an 'API-first application' with 'exhaustive collections of API endpoints' where 'all the actions, doable in the UI, can be done using the API endpoints.' Public/partner-facing API availability is enterprise-tier with no public documentation URL specified.
What industry is SciBite in?
SciBite's product category is Life Sciences Semantic Analytics Software. Its primary akta.pro industry code is HLAGAJAN, Knowledge Management & Scientific Collaboration / Literature Intelligence, with a secondary code of HLAGAJAC, Scientific Data Management & Data Platforms (SDMS/Data Lakehouse for R&D). Its NAICS code is 5132 and its SIC code is 7372.