NEW YORK, November 19, 2025 – Graphwise, the leading Graph AI provider, today announced the successful completion of the Graphwise AI Summit 2025, an online event that attracted more than 2,000 worldwide participants. The attendees, made up of Graphwise customers, partners, and subject matter experts, discussed the future of data and analytics and learned how to unlock intelligent applications and business impact with trustworthy AI and knowledge graphs.
To learn more about how GraphRAG and knowledge graphs can speed AI readiness, view the full and complimentary conference line up here.
The event took place one year after the strategic merger of Ontotext and Semantic Web Company that combined GraphDB and PoolParty technologies. The Summit was packed with virtual talks, panels, and demos with industry leaders, partners and innovators. Together, they explored the strategic impact of semantic technologies and knowledge graphs on cutting-edge AI, diving into real-world use-cases in Financial Services, Healthcare & Life Sciences, and beyond.
Graphwise leaders, Andreas Blumauer, Senior VP Growth and President Atanas Kiryakov, kicked off the conference emphasizing the importance of moving past the hype of generative AI and building enterprise-grade, trustworthy AI systems. Industry pundit, GraphRAG curator, and advisor on knowledge graphs, Alan Morrison, continued the conversation in a session called The Characteristics of a True Semantic Layer, where he where he discussed the variety of semantic layers and their applications.
Additional session highlights from customers include:
- In the session Connecting the Dots: Building a Collaborative Knowledge Hub with LLMs and Graphs, Arup Vidyerthy, Enterprise Architect – Strategy & Innovation Lead, Associate Director, Enterprise Technology at Ernst & Young (E&Y) detailed the two-year partnership with Graphwise that resulted in E&Y’s Discover Reimagined project. This major initiative tackles one of the firm’s most pressing challenges: fragmented knowledge across global service lines. By integrating semantic technologies—specifically knowledge graphs and large language models (LLMs)—EY has begun transforming its knowledge ecosystem to empower client-facing teams with seamless, real-time access to critical insights. This initiative is breaking down internal silos, streamlining workflows, and enhancing EY’s ability to deliver consistent, insight-driven value to clients worldwide.
- In the Accidental KM Practice, Michael Iantosca, Senior Director of Content Platforms and Knowledge Management at Avalara shared how a small, focused knowledge need sparked the development of a growing enterprise knowledge management practice. Michael highlighted how cross-functional teams are uncovering new value through the linguistic stack—from terminology and taxonomies to ontologies and knowledge graphs. What began as a tactical project has evolved into a strategic capability, now powering advanced agentic AI workflows that automate complex tax and compliance processes—reshaping how Avalara scales expertise across the business.
- In the FAIR In-vivo data sharing: a FAIR by design platform, Christian Blumenroehr, Solution Architect, Leader, Research Informatics, at Roche shared how his team tackled a critical bottleneck in drug discovery: the fragmented nature of in-vivo preclinical animal study data. These studies are essential for innovation, yet inconsistent and siloed data systems made it difficult for scientists to access, share, and reuse findings. To address this, they developed FISH (FAIR In-vivo data SHaring)—a “FAIR by design” platform that unifies scattered data sources using standardized, context-rich metadata and globally unique persistent resolvable identifiers (GUPRIs), enabling seamless and trustworthy data exchange across teams and research stages.
“I was thrilled to see the energy, excitement, and enthusiasm among our customers and partners after participating in such a wide-array of informative sessions,” said Andreas Blumauer, Senior VP Growth, Graphwise. “Our customers, partners, and internal subject matter experts shared how hybrid architectures, governed knowledge, explainable agents, and human-in-the-loop systems are building the new AI economy. It was great to see the strength of our customers’ use cases, their goals, and hear how they are extending human intelligence by creating enterprises that can think, learn, and adapt at the speed of their environments.”