Graphwise, created by the merger of Semantic Web Company and Ontotext, is a leading provider of knowledge graph and AI technologies. It combines advanced tools to help businesses manage data, scale AI solutions, and improve decision-making. With over 200 employees, Graphwise simplifies AI integration for enterprises globally.
Semantic Web Company and Ontotext have officially merged to create Graphwise, a leading force in knowledge graph and semantic AI technologies. The new entity, Graphwise, aims to provide cutting-edge solutions in knowledge graph infrastructure, enabling enterprises to unlock their full AI potential.
By combining Semantic Web Company’s expertise in knowledge engineering and semantic AI with Ontotext’s advanced graph database engine, the partnership sets a new benchmark for data integration, scalability, and actionable insights.
According to Atanas Kiryakov, President at Graphwise, “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. The ability to do this has never been so important, as businesses grapple with multiple AI technologies.”
A game-changing platform for enterprises AI
The Graphwise Platform has been meticulously designed to address the increasing demand for reliable AI applications. This platform combines the strengths of Ontotext GraphDB, a versatile graph database engine, and PoolParty, a leading knowledge and content management tool from Semantic Web Company. Together, these technologies create a robust solution for managing unstructured, semi-structured, and structured data, ensuring enterprises can seamlessly integrate AI-ready data into their systems.
Key features of the Graphwise Platform include:
- Sophisticated AI Applications
The platform delivers accurate and reliable AI solutions that leverage the power of knowledge graphs for applications such as Graph RAG, NLP, recommendation systems, and predictive analysis. These tools enhance decision-making by providing precise, context-rich insights. - Seamless Multi-Modal Data Management
With support for unstructured and semi-structured data integration into enterprise data fabric processes, the platform eliminates inefficiencies, enabling organisations to process and interpret complex datasets effectively. - Effortless Scalability
Graphwise ensures data remains well-structured and classified, allowing enterprises to build AI systems that navigate vast networks of interconnected information without compromising accuracy or performance. The platform is designed to scale with business needs, ensuring seamless growth. - Enhanced Flexibility in Model Design
By consolidating essential tools into a single platform, Graphwise simplifies architectural decisions, offering organisations greater flexibility and efficiency in designing AI models tailored to their unique requirements. - Lower Total Cost of Ownership
The integrated platform reduces the costs and risks associated with maintaining multiple systems. This includes savings on system integration, infrastructure, licensing, and operational expenses, making AI projects more affordable and efficient over time. - Expanded Partner Ecosystem and Market Opportunities
The merger creates a broader partner ecosystem, enabling customers to access a wider range of resources and opportunities. This includes larger project volumes and access to innovative tools to meet diverse market demands.
As a customer of both PoolParty and GraphDB, James Humffray, Information Manager at Healthdirect Australia, remarked:
“The integration of PoolParty and GraphDB into a comprehensive Graph AI 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.”
Bridging the gap in AI implementation
As businesses continue to adopt artificial intelligence (AI) as a core part of their strategies, the demand for integrated and reliable AI systems is reaching unprecedented levels. Enterprises are projected to invest an average of $21 million in AI technologies by the end of 2024, underscoring the critical need for systems that can efficiently handle and interpret vast amounts of data. Whether in legal analysis, financial modelling, or customer interactions, AI requires sophisticated tools to process unstructured and semi-structured data, transforming it into actionable, context-rich insights.
Knowledge graphs have emerged as a transformative solution to meet this need. These graphs organise and link data meaningfully, providing the structure and context necessary for AI to deliver trustworthy and precise outputs. By using this technology, organisations can address complex challenges in data integration, ensuring their AI systems produce reliable insights to drive decision-making and innovation.
The global demand for knowledge graph technology is growing rapidly. Gartner® predicts that by 2025, graph technologies will underpin 80% of data and analytics innovations, a significant increase from just 10% in 2021. A recent Gartner report (September 2024) highlights the importance of integrating multimodal data management—incorporating unstructured and semi-structured data—into enterprise systems. The report warns that failing to do so will result in persistent challenges, such as hallucination problems in GenAI applications, which undermine trust in AI systems.
Graphwise formed through the merger of Ontotext and Semantic Web Company, is uniquely positioned to address these challenges. With over 200 customers already utilising its solutions, Graphwise combines the strengths of Ontotext’s GraphDB and Semantic Web Company’s PoolParty to create a unified platform for knowledge graph management. This platform ensures enterprises can seamlessly integrate AI-ready data into their workflows, enabling more accurate, scalable, and efficient AI implementations.
Andreas Blumauer, SVP of Growth at Graphwise, emphasised the importance of this approach:
“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. 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.”
Pioneering the Future of Graph AI
Graphwise is leading the way in the global adoption of graph technologies. With a team of over 200 employees across North America, Europe, and APAC, the company provides powerful partnerships and integrated solutions to support various industries.
The company’s mission is to help organisations gain the most value from AI by offering reliable, accurate, and scalable knowledge graph solutions. As a unified entity, Graphwise takes a significant step forward in making AI technologies more trustworthy and accessible. Its comprehensive platform enables businesses to maximise their AI investments and achieve measurable results through advanced knowledge graphs and semantic AI solutions.
Shikha Negi is a Content Writer at ztudium with expertise in writing and proofreading content. Having created more than 500 articles encompassing a diverse range of educational topics, from breaking news to in-depth analysis and long-form content, Shikha has a deep understanding of emerging trends in business, technology (including AI, blockchain, and the metaverse), and societal shifts, As the author at Sarvgyan News, Shikha has demonstrated expertise in crafting engaging and informative content tailored for various audiences, including students, educators, and professionals.
