Most knowledge management systems were created over a decade ago, often using now-obsolete tools and open-source components that need extensive maintenance. These legacy systems cannot meet today’s demands for automation, AI, or compliance.
Common issues we see:
Datavid’s approach to knowledge management isn’t just about tagging documents or deploying a search bar. It’s about creating an information infrastructure that makes knowledge easy to find, contextual, and safe to reuse.
Users don’t have to be experts in the terminology anymore - semantic search bridges the gap between language and intent.Director of Digital Publishing, BSI
Quickly onboard new document sets, apply ontologies, and configure tagging models tailored to your business logic.
Every object is findable, accessible, interoperable, and reusable (FAIR) automatically.
Datavid creates graph-based knowledge layers to clarify relationships, enhance search capabilities, and provide context for AI applications.
Support regulated industries with robust access control, change management, and compliance-aligned frameworks.
Deploy intelligent agents that automate reasoning, enforce business rules, and evolve with your knowledge. No manual maintenance is needed.
To meet EUMDR requirements, Smith+Nephew unified structured and unstructured data into a compliance-ready semantic knowledge layer