Deterministic where it matters. AI where it helps.
Pure-AI conversion is impressive on a demo and unsustainable in production: every page costs tokens, every run can differ, and nobody can certify the output. Pure rules break down on unstructured sources. We engineered the combination.
How we work
Quality does not come from throwing documents at an AI. It comes from an AI-enabled conversion pipeline: deterministic rules built for your content do the heavy lifting — repeatable, validatable, cost-effective — and AI is applied precisely where it adds value: recognizing structure in unstructured pages and enriching your content with metadata.
Every migration runs on the DocentraX conversion portal — the same platform your team can use for ongoing conversions after the migration. Terms, acronyms, product names and metadata are learned per customer and reused on every subsequent project — the AI share of the work falls as your knowledge base grows, and so does the cost.
What we are here to do
Tell us what you're sitting on — FrameMaker books, a shelf of scanned manuals, a wiki export — and we'll tell you honestly what the migration takes. The result is valid DITA with a working ditamap, imported and accepted in your CCMS.
Because your content passes through our knowledge pipeline, it arrives smarter than it left: the platform can tell you which topics are duplicated, which glossary terms conflict, which procedures are inconsistent across manuals, and which documents are outdated — across your whole corpus.
