Enterprise content management and technical documentation automation
Contiem specializes in managing and automating large-scale technical documentation for regulated industries—their stack centers on XML standards (DITA, S1000D, SGML), authoring tools (MadCap Flare, Oxygen, FrameMaker), and Adobe's content suite, with emerging focus on automation via Power Automate and Azure DevOps CI/CD. Current hiring is senior-weighted across engineering and design, concentrated on S1000D implementations and workflow optimization, suggesting aggressive expansion into standardized documentation at scale.
Contiem provides services and solutions for creating, managing, organizing, translating, and automating the publication of enterprise technical content. The company operates primarily in industries requiring standards-compliant documentation—aerospace, defense, and industrial manufacturing—where specifications like S1000D for technical manuals are mandatory. The platform integrates XML-based authoring (DITA, S1000D, SGML), Adobe Experience Manager for content lifecycle, and increasingly automated publishing via Power Automate and Azure DevOps. Based in Annapolis, MD, with 51–200 employees, Contiem combines services and software delivery.
Contiem's stack is XML-centric: DITA, S1000D, SGML as structured formats; MadCap Flare, Oxygen XML Editor, Adobe FrameMaker for authoring; Adobe Experience Manager for content management; MarkLogic for semantic querying; Power Automate and Azure DevOps for workflow automation and CI/CD.
Current projects include large-scale CSDB (Component Source Data Bank) implementations using S1000D standards, Playwright framework optimization for testing, Power Automate flow builds for content workflows, Azure DevOps CI/CD automation, and S1000D training and coaching programs.
Contiem's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.