DITA·DocBook·S1000D·NIEM

Content engineering for organizations whose documentation needs to be right.

Information architecture through automated CI/CD publishing — built for documentation that must be auditable, multilingual, and version-correct the moment it ships.

Clients — IRS· U.S. House of Representatives· Toyota· FedEx· Morgan Stanley· AMD

What happens when documentation is wrong.

LIFE SCIENCES

An IFU error triggers an FDA Class I recall.

Direct remediation runs into the millions. Brand damage lasts years. The document was the safety control — and the safety control failed.

DEFENSE

An S1000D conformance failure triggers a stop-work order.

Payment halts. The contract goes to risk. Cure-notice procedures begin. The data modules have to be reauthored before delivery resumes.

AUTOMOTIVE

A dealer service-manual error voids OEM warranty exposure.

Claims liability moves from the dealer back to the manufacturer. A single procedure error, replicated across a service network, becomes a multi-million-dollar claim event.

GOVERNMENT

A regulatory-instruction error invalidates filings across a fiscal year.

Guidance documents that carry a schema-level error propagate into every downstream form, audit reference, and submission. Errata can't reach all of them in time. Penalties and amendments follow.

SEMICONDUCTORS

A datasheet spec error propagates to every system integrator.

Reference designs anchor to incorrect parameters. Field failures cluster across customers months after launch — and the traceability trail leads back to the source document.

Four capabilities. One lifecycle.

Most engagements move through more than one. Architecture sets the foundation; migration recovers what's there; CCMS and publishing operate the system; AI-ready content extends it.

  1. 01

    Information Architecture

    Schema design, taxonomy, reuse strategy. The decisions that determine what every downstream system can do with your content.

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  2. 02

    Content Migration

    Recovery operation. Convert legacy estates from FrameMaker, Word, and unstructured XML into clean, reusable DITA.

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  3. 03

    CCMS & Publishing

    Operating system for content, plus the CI/CD that closes the loop from source to published output across every format.

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  4. 04

    AI-Ready Content

    Chunking, metadata, retrieval architecture. The translation layer between structured content and the AI systems that consume it.

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The content ops stack.

Five integrated layers. One seamless content operation.

  1. 01

    Strategy

    Information Architecture, Taxonomy, Content Governance

  2. 02

    Engineering

    DITA, XSLT, Schematron, CCMS Configuration

  3. 03

    Automation

    CI/CD Pipelines, Build Scripts, Validation Gates

  4. 04

    Delivery

    PDF, HTML5, Portal, API, Mobile

  5. 05

    Analyze

    Usage Metrics, Content Performance, Feedback Loop

What changes when you ship it.

Three outcomes measured across recent production deployments.

60%
Faster publishing cycles From quarterly publishing to per-merge releases.
72%
Translation cost savings Single-source reuse cuts localization volume across markets.
85%
RAG retrieval precision Structured content as the difference between accurate retrieval and hallucination.
  • 13+ Years in Business
  • 11+ Major Clients Served
  • WOSB Woman-Owned Small Business
  • 508 Section Compliant

Trusted by Government Agencies, Fortune 500 Companies, & Non-Profit Organizations

  • IRS
  • U.S. House of Representatives
  • U.S. District Courts
  • Paralyzed Veterans of America
  • Toyota
  • FedEx
  • Morgan Stanley
  • Great American Insurance Group
  • Guidewire
  • Thermo Fisher
  • AMD
  • HPE

Where to next?

Sample Content Assessment

Submit a 20-page sample. We'll return conversion feasibility, content recovery rate, and engineering effort within two business days. The analysis is the basis for any further engagement, with no obligation to proceed.

Submit a sample →