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Knowledge Fabric helps organisations uncover hidden internal talent through AI-driven analysis of work data, supporting smarter sourcing and seamless role matching.
About
Knowledge Fabric is an AI-driven platform developed at the University of Malta that transforms digital work data (digital exhaust) into actionable insights about who knows what within an organisation. By mapping tacit expertise and knowledge networks, Knowledge Fabric helps companies identify critical skills, reduce knowledge loss, and build resilient, adaptive teams. The platform combines academic research in software engineering, AI, and organisational behaviour to create next-generation tools for knowledge intelligence and talent visibility.
Key Benefits
- Smarter talent visibility: Automatically uncovers hidden expertise across teams and systems.
- Faster talent matching: Suggests the best internal or external candidates for roles based on skills and contributions, reducing manual screening effort.
- Stronger workforce resilience: Mitigates knowledge loss by identifying critical knowledge holders and enabling proactive succession planning.
- Faster, cheaper, more effective onboarding and offboarding: Identify exactly what knowledge needs to be transfered, in what order, and by whom when onboarding of offboarding talent.
- AI-driven insights: Uses privacy-preserving AI to interpret work signals, ensuring compliance while unlocking deep organisational intelligence.
Applications
Knowledge Fabric is designed for organisations that depend heavily on tact knowledge. from technology and manufacturing to corporate operations and R&D. It supports HR and talent teams seeking smarter sourcing, internal mobility, and workforce continuity. The same AI capabilities can extend to external talent sourcing platforms (e.g., LinkedIn) to match candidate profiles with role requirements while aligning with organisational context and knowledge needs.