Semantic Web Company and Ontotext Merge to Create Knowledge Graph and AI Powerhouse Graphwise
Semantic Web Company and Ontotext today announced that the two companies have merged to become the leading Graph AI provider, Graphwise. Semantic Web Company brings expertise in knowledge engineering, semantic AI and intelligent document processing, while Ontotext brings the most versatile graph database engine and state-of-the-art AI models for linking and unifying information at scale. Together, Graphwise delivers the critical knowledge graph infrastructure enterprises need to realize the full potential of their AI investment. To learn more or to hear from founders visit www.graphwise.ai.
Combining Ontotext GraphDB’s data management capabilities with PoolParty, the industry-leading knowledge and content management offerings from Semantic Web Company, Graphwise has created the most comprehensive knowledge graph management platform, which includes complete multi-modal data support – unstructured, semi-structured, and structured data. The announcement is significant for the graph industry, as it elevates Graphwise as the most comprehensive knowledge graph AI organization and establishes a clear path towards democratizing the evolution of Graph RAG as a category.
Explaining the technology and why it is needed, Atanas Kiryakov, President at Graphwise, said:
Knowledge graphs are like a GPS for AI and large language models (LLMs). They guide AI models with precision and context to ensure trustworthy, explainable outputs. Just as a GPS system provides accurate routes and prevents wrong turns, knowledge graphs steer AI models in the right direction by organizing and linking data in meaningful ways. The ability to do this has never been so important, as businesses grapple with multiple AI technologies.
Commenting on the newly merged company, James Humffray, Information Manager at Healthdirect Australia and customer of both companies, said:
As a user of both PoolParty and GraphDB for many years, we are excited about the merger and the potential it brings. The integration of PoolParty and GraphDB into a comprehensive GraphAI platform will greatly enhance our capabilities and provide us with innovative solutions to better meet our customers’ needs. From a hosted cloud solution perspective, we should experience much more streamlined support, leading to greater performance, scalability and resilience.
Bringing confidence to AI
With enterprises estimated to spend an average of $21 million on AI before the end of 2024, the need for AI technologies to integrate and work together efficiently has never been so critical. As AI continues to become a core part of business strategies, organizations require sophisticated systems that can make connections across large and unstructured data sets, whether in legal analysis, financial, or customer interactions. By using knowledge graphs, enterprises get more accurate, context-rich insights from their data, which is essential as they look to adopt AI to drive decision-making.
As a result, the demand for knowledge graph technology is growing rapidly worldwide. By the end of 2025, Gartner® predicts that graph technologies will be used in as many as 80% of data and analytics innovations, up from 10% in 2021, and a recent Gartner report published in September 2024 states that “the data fabric must evolve to manage multimodal data for grounded and guardrailed GenAI applications in the enterprise. Without including unstructured and semistructured data management into data fabric processes, the GenAI experience will continue to have major hallucination problems.”
With this in mind, Graphwise, whose technology is already used by more than 200 combined customers, set out to build an integrated industry-leading solution that brings trustworthy and reliable AI capabilities to enterprises.
