Ontotext

What Ontotext does

Ontotext AD is a private Bulgarian software company that builds and sells enterprise semantic technology and knowledge-graph products, with an operating headquarters in Sofia and a US sales presence in New York. Following the 2024 merger of Semantic Web Company and Ontotext into the Graphwise brand, Ontotext AD continues as the legal entity behind a product suite anchored on GraphDB, an RDF graph database that supports SPARQL queries, inference, semantic search indexing, and scalable enterprise data-fabric deployments. The platform is complemented by Metadata Studio for ground-truth annotation and text-analysis evaluation, Semantic Objects for GraphQL-based data modeling, the free Ontotext Refine tool for converting raw data into RDF, the LinkedLifeData Inventory aggregating 200+ biomedical datasets, and the AI-Powered Target Discovery platform for pharmaceutical research. Technology integrations span hyperscalers (Azure, AWS, GCP), Databricks, Elasticsearch, MongoDB, and the EDM Council's FIBO standard, with AI capabilities including Graph RAG, the Talk To Your Graph conversational agent, NLP/Information Extraction, and generative-AI-driven drug discovery.

The company generates revenue through four streams: GraphDB software licensing with a freemium edition plus annual enterprise subscriptions, fully managed GraphDB services on Azure, AWS, and GCP, professional services covering strategy consulting, semantic modeling, implementation, and bespoke development, and instructor-led training on GraphDB, FIBO, and Graph RAG. Enterprise pricing is opaque and requires sales consultation, consistent with a direct enterprise field-sales GTM supported by a dedicated North American Strategic Account Executive, supplemented by product-led growth through free tools (Refine) and event-led demand generation via Knowledge Graph Forum webinars. Customer logos span healthcare and life sciences (AstraZeneca, Oxford Drug Discovery Institute, Top 10 Early Drug R&D Center, a leading US children's hospital), financial services (a top-tier investment bank and global bank for trade surveillance), manufacturing (Siemens for industrial data integration), media (Foodpairing AI for new product development), and education (Queen's University Mulligan Lab), served by a Solutions Team Lead, a Life Sciences & Healthcare Team Lead, and a Research Team Lead that together concentrate semantic-web, NLP, and applied AI expertise.

Name

Ontotext

Legal name

Ontotext AD

Website

https://ontotext.com

Company type

Private

Founded year

2000

Operating status

Operating

Headcount range

5,001–10,000 employees

Short description

Ontotext AD develops the GraphDB RDF graph database and complementary semantic, NLP, and Graph RAG tools that help enterprises in life sciences, financial services, manufacturing, media, and the public sector unify siloed data and build knowledge graphs for AI applications.

Ownership category

akta.pro rank

Product category

Graph Database and Knowledge Graph Software

NAICS

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (51821), Web Search Portals, Libraries, Archives, and Other Information Services (519)

SIC

Services-Computer Programming, Data Processing, Etc. (7370), Services-Computer Programming Services (7371)

akta.pro primary industry

Graph Databases (HDAEAAAE)

akta.pro secondary industries

Metadata, Catalog & Semantic Layer for Data Platforms (HDAEABAJ), Database-as-a-Service (DBaaS) Platforms (HDAEAAAN), Search / Index Databases (HDAEAAAK), Database/Application Data Layer Modernization (DB migration, ORM, caching) (BPAEAFAL)

Keywords

• RDF graph database
• Knowledge graph platform
• Semantic search technology
• Enterprise data fabric
• Text analytics NLP

Headquarters

HQ city

Sofia

HQ country

Bulgaria

HQ region

Europe

Offices3 records

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Infrastructure, Marketing or Sales, Operations

Revenue model

1. GraphDB Software Licensing: Enterprise RDF graph database software licensing with free and paid editions. Licensing model includes support tiers and enterprise features for production deployments.
2. GraphDB Managed Services: Cloud-based managed services for deploying and maintaining GraphDB on Azure, AWS, and Google Cloud Platform. Provides ongoing support, optimization, and maintenance.
3. Professional Services: Strategy consulting, semantic data modeling, text analytics implementation, GraphDB development support, and training services. Engagement stages include workshops, proof-of-concept, architecture design, and full solution delivery.
4. Training Services: Live instructor-led training sessions covering GraphDB, FIBO, Graph RAG tutorials, and custom team training programs. Includes both scheduled public courses and bespoke corporate training.

Pricing tiers

Go-to-market motion3 records

Distribution channels4 records

Marketing channels9 records

Core offering

Ontotext sells GraphDB, an enterprise RDF graph database, alongside a suite of semantic technology tools (Metadata Studio, Semantic Objects, Ontotext Refine) and vertical-specific knowledge graph solutions for life sciences (LinkedLifeData Inventory, AI Powered Target Discovery). The products enable enterprises to unify diverse data sources into knowledge graphs, perform semantic search, and power AI applications including LLM grounding via Graph RAG.

Product overview

Ontotext (now doing business as Graphwise following merger with Semantic Web Company) offers a unified platform-plus-modules architecture centered on GraphDB, an enterprise RDF graph database. The core GraphDB platform is complemented by Metadata Studio for manual annotation and text analysis evaluation, Semantic Objects for GraphQL-based data management, and Refine (free) for data transformation. Specialized solutions include LinkedLifeData Inventory (200+ biomedical datasets) and AI Powered Target Discovery for pharmaceutical research. All products leverage knowledge graph technology, semantic search, and AI capabilities including NLP, knowledge retrieval, and generative AI.

Differentiator

Problem solved

Functional benefit

Brands

• GraphDB: Ontotext's flagship RDF graph database product that enables linking diverse enterprise data, semantic search, and knowledge graph building.
• Metadata Studio
• Semantic Objects
• Refine
• LinkedLifeData Inventory
• Target Discovery

Products and services

• GraphDB Enterprise RDF graph database that connects diverse enterprise data, enriches it for semantic search, and reveals valuable insights. Supports SPARQL queries, inference engines, and scalable graph performance for enterprise-wide data fabric implementations. Available as a free edition and paid enterprise license.
• Ontotext Metadata Studio Manual annotation tool for integrating and evaluating any text analysis service against enterprise ground truth data. Enables knowledge structuring, enrichment, and retrieval with AI amplified by enterprise knowledge graphs.
• Ontotext Semantic Objects Comprehensive platform comprising databases, ML algorithms, APIs, and tools for organizing data into enterprise knowledge graphs. Provides GraphQL access for streamlined application development without requiring database expertise.
• Ontotext Refine (OntoRefine) Free application that automates conversion of messy string data into a knowledge graph. Cleans low-quality data, maps to RDF structure, and loads into GraphDB. Supports multiple formats including TSV, CSV, XLS, JSON, and XML with SPARQL federation capabilities.
• LinkedLifeData Inventory Healthcare and life sciences data inventory providing access to 200+ public datasets and ontologies in RDF format covering genomics, proteomics, pharmacology, clinical trials, and scientific publications.
• AI Powered Target Discovery AI-powered drug discovery platform that identifies new drug targets and repurposing candidates by mining scientific publications, patents, and clinical trials with at least 10x acceleration compared to traditional methods.
• Graphwise Reconciliation Tool for building custom reconciliation services over knowledge graphs, enabling seamless data integration and enrichment across enterprise data sources.

Quantifiable outcome

• 10x acceleration in clinical research AI
• +2 more outcomes

Named customers10 records

Segments6 records

Ideal customer profiles6 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration8 records

AI capability10 records

Feature8 records

Partnerships

Five partnerships are on record, tiered core and flagship.

• Microsoft AzurecoreTechnology or IntegrationGraphDB managed services available on Microsoft Azure cloud platform with optimized deployment and integration support for enterprise customers.
• Amazon Web Services (AWS)coreTechnology or IntegrationGraphDB managed services available on AWS cloud platform with dedicated support and deployment optimization.
• Google Cloud Platform (GCP)coreTechnology or IntegrationGraphDB managed services available on Google Cloud Platform for cloud-agnostic enterprise deployments.
• Enterprise Data Management (EDM) Council - FIBOcoreStrategic or Co-development PartnerActive contribution to and implementation of Financial Industry Business Ontology (FIBO) standard for financial services data modeling and interoperability.
• Oxford Drug Discovery InstituteflagshipStrategic or Co-development PartnerCollaboration on Alzheimer's research using AI-powered Target Discovery platform, demonstrating 500% increase in insight discovery speed and accelerated research timelines.

Scale indicators3 records

Recent moves8 records

Expansion highlights6 records

Emerging players

• ArangoDB: Multi-model database supporting graph, document, and key-value models. Comparable to Ontotext's Semantic Objects in offering GraphQL access and flexible data modeling for enterprise applications.

Broad incumbents

• Databricks: Cloud data platform with growing graph and knowledge graph capabilities. Listed as an integration partner with Ontotext but increasingly competitive as a unified data and AI platform for enterprise workloads.
• Amazon Neptune: AWS managed graph database service supporting property graphs and RDF. Competes with Ontotext's managed services on AWS by bundling graph capability into the broader AWS data platform.
• Microsoft Azure Cosmos DB (Gremlin API): Azure's globally distributed multi-model database with Gremlin-based graph API. Competes with Ontotext for cloud-native enterprise graph workloads inside Microsoft enterprise accounts.

Direct peers

• Cambridge Semantics (Anzo): Enterprise knowledge graph and semantic data integration vendor. Directly comparable to Ontotext in semantic data fabric and RDF-based enterprise knowledge graph deployments.
• Franz Inc. (AllegroGraph): Long-standing RDF graph database and semantic technology vendor. Directly comparable to Ontotext's RDF/SPARQL foundation and knowledge graph tooling, targeting similar enterprise and government customers.
• PoolParty Semantic Suite: Semantic middleware from Semantic Web Company (the firm that merged with Ontotext to form Graphwise). Closely related in semantic web technology stack, taxonomy, and knowledge graph tooling.
• TigerGraph: Graph database vendor focused on large-scale analytics and machine learning on connected data. Competes with Ontotext for enterprise graph workloads, particularly in financial services and anti-fraud use cases.
• Stardog: Enterprise knowledge graph platform combining RDF/SPARQL with virtual graph and ontology capabilities. Closest direct peer to Ontotext in semantic graph technology, targeting similar enterprise and data fabric use cases.
• Neo4j: Largest standalone graph database vendor with Cypher-based property-graph technology. Directly comparable to Ontotext's GraphDB as an enterprise graph platform serving knowledge-graph and AI workloads, though Neo4j uses property graphs rather than RDF/SPARQL.

Market position

Strengths4 records

Weaknesses4 records

Competitive moat5 records

Key risks5 records

Key highlights7 records

Customer concentration

• Xx.com/ontotext
• GitHubgithub.com/Ontotext-AD
• YouTubeyoutube.com/ontotext
• LinkedInlinkedin.com/company/ontotext-ad
• Facebookfacebook.com/Ontotext

Revenue estimate

Valuation estimate

Number of profiles

Profiles7 records

Funding overview

Funding rounds1 record

Investors1 record

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Ontotext