Problem
Sandvik, an international engineering group specializing in mining equipment, struggled to provide technicians and trainers with fast access to critical information around their equipment (e.g. for troubleshooting and training).
Technical Knowledge Management
Providing the foundational technology stack to transform fragmented technical data into a cohesive, machine-interpretable asset for knowledge reuse
Digital sprawl and knowledge fragmentation
Enterprise expertise is currently fragmented across specialized tools ((C)CMS’s, CRM’s, wikis, code repositories, ticketing systems, etc.). This results in a distributed landscape where valuable data is trapped in silos, and teams are left without a single, unified view of their own intelligence:
- Productivity-draining silos: Knowledge workers waste time navigating ambiguous terminology and disconnected systems
- “Reinventing the wheel” phenomenon: Costly resources are wasted re-solving problems because original solutions are hidden or unsearchable
- The continuity crisis: When experts leave, their “tribal knowledge” goes with them, leaving behind static, outdated documentation that can cause errors or erode trust in the knowledge base
| Dimension | The Challenge | The Solution |
|---|---|---|
| Information Landscape |
Fragmented data silos |
Unified semantic layer |
| Search & Discovery |
The "Scavenger hunt" |
Intelligent understanding |
| Workflow Efficiency |
Reinventing the wheel |
Active knowledge reuse |
| Retention & Integrity |
Brain drain & obsolescence |
Living repository |
Operational intelligence and dynamic governance
To combat digital sprawl, organizations need a semantic infrastructure to unify data and protect intellectual capital without disrupting workflows. Graphwise achieves this with:
- Unified semantic layer: Graphwise’s document processing converting isolated archives into a cohesive, contextually linked knowledge graph where data is understood, not just stored
- Intelligent understanding: We replace rigid keyword matching with Natural Language Understanding (NLU) and GraphRAG to grasp user intent and deliver precise answers
- Active knowledge reuse: We tackle the “reinventing the wheel” challenge by surfacing conceptually similar issues from past projects or tickets
- Living repository: To protect against high turnover and rapid obsolescence, Graphwise maps relationships between data points and traces document lineage and version history
Our Strategic Moat
The Graphwise Advantage
Graphwise Platform allows to build the next generation of Technical Knowledge Management Solution integrating a Semantic Backbone into the whole Content Life Cycle. Benefit from existing integrations in major content platforms like M365, AEM or Tridion Docs or build your own solution on a scalable AI driven foundation.
Justify your Investment
85%
Reduction in manual effort
Reliable, consistent automated tagging of content across multiple sources with high precision
85%
Accuracy in retrieval
Providing high-quality content as context for GraphRAG significantly increases answers trustworthiness
Accelerated time to resolution
Well connected content allows teams to bypass multi-source data hunting and get the right answers instantly
Success Stories
See what Our Customers and Partners do with Graphwise
Solution
In collaboration with partners RWS (integrating Tridion Docs for tagging content), Kaleidoscope (integrating Quick Term to sync existing terminology as a basis for the Knowledge Graph), and implementation partner Ninefeb, Sandvik built Smartmate, an interface to all information around an equipment that makes all information available in one place, powered by Graphwise Knowledge Graph
Results
- Efficient search and navigation of information
- Precise role-specific answers
- Accelerate troubleshooting with contextual guidance
Problem
An international professional services company faces inefficiencies due to siloed content spread company wide in different systems leading to a poor search experience and difficulty sharing existing knowledge within the company.
Solution
The Client integrated Graphwise Platform into their Knowledge Discovery platform to consistently tag all the information assets submitted to its knowledge base, improving discoverability and retrieval.
Results
- 50-60% improvement in search performance
- Less time for knowledge managers to tag information assets
- Improved uptake of the internal knowledge management platform
Ready to bridge your fragmented systems with a semantic layer?
In 30 minutes, we’ll show how to implement a semantic layer that transforms raw content into a dynamic, actionable asset.