Semantic Web Company and Ontotext merge to rebrand as knowledge graph and AI powerhouse Graphwise

Semantic Web Company and Ontotext announced that the two organizations are merging to create a knowledge graph and AI powerhouse, 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.

Combining Ontotext GraphDB’s data management capabilities with PoolParty, the industry-leading knowledge and content management offerings from Semantic Web Company, Graphwise is now 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, according to the vendors.

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,” said Atanas Kiryakov, president at Graphwise.

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 enterprises, according to the vendors.

"While AI hype has been unavoidable in recent years, CIOs and CDOs are already sliding into disillusionment. No one is lacking in AI models, but what they are lacking in is accessing the AI-ready data to feed them,” said Andreas Blumauer, SVP growth at Graphwise. “The unique combination of our knowledge graph and semantic AI expertise is the only way enterprise models can process data with the utmost accuracy, reliability and context. Knowledge graphs are the last piece of the AI puzzle, and we’re excited to enable enterprises across the globe to truly reap the results and return on their AI investment using a singular and proven solution.”

The combined knowledge of both Ontotext and Semantic Web Company means Graphwise customers will benefit from even more scalable AI solutions that can provide deeper insights, automate processes, and improve decision-making, creating an essential foundation for further innovation.

As a result of this merger, Graphwise’s new combined offering, the Graphwise Platform, will enable customers to benefit from:

• Sophisticated, accurate and reliable AI applications that leverage the power of knowledge graphs for applications like Graph RAG, NLP, recommendation systems, and predictive analysis.
• Support unstructured and semistructured data management into data fabric processes.
• The ability to scale effortlessly, while ensuring data remains well-structured and classified. This enables businesses to build AI systems capable of navigating vast networks of interconnected information without sacrificing accuracy or performance.
• Enhanced flexibility in designing models by providing the tools necessary in one platform to simplify architectural decisions.
• Lower total cost of ownership. With an integrated platform, clients ultimately save on the costs associated with maintaining separate systems. This reduces system integration burdens, development and operational risks, as well as licensing, infrastructure and operational expenses, making AI projects more cost-effective over time.
• A combined partner ecosystem and a broader market which creates more opportunities, including significantly larger project volumes.

For more information about this news, visit https://graphwise.ai.