Centralize and structure content
from across disparate formats and systems
from across disparate formats and systems
Aggregate and normalize unstructured content (e.g., Word, PDF, legacy XML) into a governed content lake that supports editorial, compliance, and AI workflows.
Apply standardized metadata models and taxonomies (e.g., Dublin Core, MeSH, ISO vocabularies) to ensure consistency, reusability, and machine-actionability.
Support structured authoring and editing via tools like Fonto XML, integrated into your workflows. Datavid helps you streamline markup, enforce schema validation, and reduce formatting time.
Go beyond keyword search. Use semantic enrichment and knowledge graphs to power intent-based, faceted search experiences across vast archives.
Embed AI and automation into your editorial pipelines, reducing manual tagging, accelerating peer review, and simplifying multi-format publishing.
Migrate or enhance legacy CMS, DAM, or repository infrastructure to create future-ready systems that scale across content types and channels.
Datavid transforms rigid documents, outdated XML, and disconnected systems into structured, searchable content platforms. We enrich metadata, automate manual steps like tagging, and support XML-first and FAIR standards to improve speed and consistency.
Yes. With accelerators like Datavid Rover and Quill, publishers can reduce time-to-publish from months to weeks. These tools simplify metadata enrichment, automate compliance, and support multichannel delivery, enabling innovation without long delays.
We use semantic enrichment and knowledge graphs to make content searchable beyond keywords. This connects related research, supports advanced discovery, and ensures content is aligned with FAIR principles, increasing reach and long-term reuse.