iThenticate
The Gold Standard for Scholarly Plagiarism and AI Writing Detection in High-Stakes Publishing.
The Content Impact Platform for Enterprise AI Governance and Brand Alignment.
Acrolinx is a sophisticated content governance platform engineered for global enterprises to ensure that every piece of content—whether human-written or AI-generated—is consistent, compliant, and impactful. By 2026, its technical architecture has evolved into an 'AI Guardrail' system, utilizing a proprietary linguistic engine combined with a 'Content Cube' model that evaluates text across five dimensions: Style, Grammar, Terminology, Tone, and Clarity. Unlike simple spell-checkers, Acrolinx operates as a centralized platform that integrates directly into the enterprise tech stack, from CMS platforms like Adobe Experience Manager to IDEs and word processors. It provides a definitive 'Acrolinx Score' to represent content quality, allowing organizations to set automated quality thresholds for publishing workflows. Its market position is unique as the leading solution for 'Governed AI,' enabling companies to fine-tune Large Language Models (LLMs) and validate their outputs against specific corporate standards, effectively mitigating risks associated with hallucinations, brand drift, and regulatory non-compliance in automated content generation cycles.
A proprietary metric calculated using weighted linguistic algorithms that measure content health against corporate standards.
The Gold Standard for Scholarly Plagiarism and AI Writing Detection in High-Stakes Publishing.
Enterprise-grade linguistic analysis to distinguish between human-crafted content and LLM-generated text.
Enterprise-grade AI content identification with integrated humanization and semantic integrity checks.
Enterprise-grade content verification and plagiarism prevention within the world's leading AI content platform.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
A validation layer that checks LLM-generated content for accuracy, brand voice, and safety before it is published.
A single source of truth for approved and deprecated terms, integrated directly into the authoring environment.
RESTful endpoints that allow for headless content checking within CMS, DAM, or CI/CD pipelines.
Specific linguistic profiles that can be applied to different audiences or content formats (e.g., technical vs. emotional tone).
Crawls and analyzes existing content repositories to identify high-risk or low-quality content silos.
Leverages the company's own terminology and style data to help fine-tune or prompt LLMs for better initial outputs.
Thousands of technical writers across 10 countries were using different names for the same UI elements, confusing customers.
Registry Updated:2/7/2026
Enable automated checks during GitHub pull requests.
Reject any documentation commit with an Acrolinx Score below 80.
AI-generated marketing copy frequently hallucinated product features and used an overly aggressive tone.
Ensuring that strictly mandated safety warnings are present and correctly phrased in all manuals.