Knowledge meets power: How Graphwise is transforming the Graph AI landscape

After years of collaboration on joint deployments, two leaders in semantic technology – Ontotext, with its powerful GraphDB platform, and Semantic Web Company, with its PoolParty semantic suite - have joined forces to create Graphwise. The timing couldn't be more critical: organizations are discovering that their rush to implement AI has exposed a fundamental gap. While generative AI promises transformative capabilities, without proper knowledge structures, these systems struggle with accuracy, hallucinate responses, and can't reliably access an organization's core knowledge. It's like having a brilliant but unreliable expert who occasionally makes things up - fascinating, but dangerous for business.

Why now?

According to McKinsey, while over 70% of organizations have implemented AI in at least one business function, only 11% have managed to deploy it successfully at scale. The primary challenge? Accuracy and reliability. As Gartner's latest Impact Radar report emphasizes, knowledge graphs have emerged as a critical enabler for trustworthy AI implementation - particularly in addressing the limitations of current generative AI systems.

A vision beyond technology

Graphwise's vision is ambitious yet focused: to enrich the world with knowledge. This isn't just about building better databases or more efficient search systems. Their mission centers on connecting the dots across enterprise data to create holistic knowledge structures that can propel AI capabilities forward. In an era where organizations are drowning in data but starving for insights, this approach resonates particularly strongly.

Source: Graphwise

The Graphwise Platform: Where knowledge meets AI

The Graphwise platform addresses a fundamental challenge in today's AI landscape: bridging the gap between raw data and actionable knowledge. Rather than treating content and data as separate concerns, the platform creates an intelligent fabric that connects all enterprise information.

The semantic layer: A new approach to enterprise knowledge

At the heart of the platform is what Graphwise calls the "semantic layer" - essentially a sophisticated combination of content hub and data fabric capabilities. This layer serves as the foundation for making enterprise content and data truly AI-ready by:

• Managing both unstructured and semi-structured content
• Handling structured data through data fabric capabilities
• Maintaining consistent semantic metadata that ties everything together
• Supporting domain knowledge models including schemas, ontologies, and taxonomies

Intelligent knowledge management

The platform's graph modeling and semantic enrichment capabilities showcase how AI can accelerate knowledge work without sacrificing quality. Take the newly introduced taxonomy advisor feature, for example. Rather than requiring taxonomists to build hierarchies from scratch, it leverages large language models to suggest enrichments and relationships, dramatically accelerating the knowledge modeling process while maintaining human oversight.

Other key capabilities include:

• Advanced classification and text mining
• Named Entity Recognition for precise content tagging
• Automated relationship discovery between content items
• AI-assisted ontology management

Enterprise-grade graph technology

On the technical side, the platform builds on Ontotext's proven GraphDB technology to ensure enterprise reliability and scalability. The system provides:

• High-availability cluster capabilities for mission-critical deployments
• Multiple APIs for flexible data consumption
• Advanced graph path search and analytics
• Kafka integration for real-time data replication

What makes this particularly powerful is how these technical capabilities translate into practical benefits. When organizations need to scale their knowledge operations, the high-availability clustering ensures system reliability. When they need to integrate with existing systems, the multiple API options and Kafka integration enable real-time data flow. The platform isn't just storing information - it's making it actively usable across the enterprise.

GraphRAG: beyond basic AI integration

One of the most innovative aspects of the platform is its GraphRAG (Retrieval Augmented Generation) capabilities, which come in several varieties:

1. Basic metadata integration: Enables precise filtering and improved explainability
2. Domain knowledge enhancement: Enriches results using domain-specific knowledge models
3. Full data fabric integration: Combines factual data with domain knowledge for maximum accuracy

In real-world implementations, this approach has shown remarkable results. One customer reported accuracy improvements from 60% with traditional RAG approaches to over 90% using Graphwise's GraphRAG technology.

Industry-specific solutions

Building on this foundation, Graphwise is developing targeted solutions for specific industry challenges:

• ESG and sustainability: Through their Recomentor platform, helping organizations navigate complex regulatory requirements
• Pharma and Life Sciences: Supporting target discovery and research with sophisticated knowledge graph applications
• Enterprise Knowledge Management: Enabling organizations to build comprehensive knowledge architectures

Source: Graphwise

The partner ecosystem

Through their partnership with RWS and a growing network of technology and implementation partners, Graphwise is building what they call a "partner-first" strategy. This approach ensures organizations can integrate Graphwise capabilities seamlessly into their existing content and knowledge management infrastructure.

Looking ahead

The merger signals a new phase in the evolution of enterprise knowledge management. With significant planned investments in R&D and a clear focus on developing domain-specific business solutions, Graphwise is positioning itself at the intersection of knowledge graphs and AI - exactly where Gartner predicts the next wave of AI innovation will emerge.

For organizations struggling with AI accuracy, knowledge management, or content findability, Graphwise's approach offers a compelling path forward. To learn more about implementing these capabilities in your organization, join their upcoming webinar, "Get AI Ready with Graph Center of Excellence" on January 23rd, or visit graphwise.ai.

To learn more about our Tridion Partner Ecosystem, visit our partner page.