Free Assessment

MODEL·MIGRATE·INTEGRATE·RETRIEVE

Technical publishing, migration, interoperability, and AI-ready content.

The four content problems Extense solves — engineered as systems that ship to every channel, auditable and version-correct. Each runs on the same foundation: content modeled once, validated against your standards, single-sourced and reused rather than rebuilt by hand. The payoff is faster release cycles, lower localization cost, audit-ready output, and AI retrieval that's precise instead of hopeful.

Solving the Content Problem at Scale

Every organization has content. The question is whether that content is an asset or a liability. Our solutions turn unstructured, siloed information into reusable, standards-based, automatically publishable knowledge.

01
Assess Audit the existing content estate — formats, volume, and the recoverable, reusable assets buried in legacy documents.
02
Architect Design the information model — the schema, taxonomy, and reuse strategy everything downstream depends on.
03
Implement Deploy the toolchain and migrate — conversion at scale, CCMS configuration, and the CI/CD that publishes it.
04
Optimize Measure, iterate, and scale — usage metrics and feedback that tighten the system release over release.

Our Solutions

Four areas where engineered content replaces a hand-authored, copy-and-rebuild cycle.

  1. Technical Documentation & Publishing

    Modernize your authoring and publishing workflows. We build single-source pipelines that produce pixel-perfect PDF, responsive HTML5, EPUB, and context-sensitive help from the same DITA map — eliminating the "copy-paste-reformat" cycle that costs enterprises thousands of hours per year.

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  2. Content Migration & Modernization

    Legacy Word, FrameMaker, and InDesign content doesn't have to be rewritten by hand. Our migration engine combines automated conversion scripts with expert manual refinement to convert unstructured documents into clean, validated DITA XML — typically at 10x the speed of manual conversion.

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  3. XML Data Interoperability

    Your content must flow between systems: CCMS to PIM, ERP to Portal, CMS to Translation Memory. We design XSLT/XQuery transformation layers, REST/GraphQL APIs, and OData connectors that make your XML data a first-class citizen in your enterprise architecture.

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  4. AI-Ready Content

    Your content is becoming an AI retrieval source — whether it was engineered for that or not. We structure it for RAG pipelines: semantic chunking, retrieval metadata, and embedding-ready markup, validated so answers stay grounded in the source — the difference between 85% retrieval precision and a system that confidently hallucinates.

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Sample Content Assessment

Bring us a 20-page sample document. We'll return what it would look like as engineered content — conversion feasibility, reuse percentage, and the pipeline that would produce it — within two business days. No obligation to proceed.

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