XTM IQ: the AI layer for global content

XTM IQ is the AI layer of the XTM platform. It runs across the entire localization lifecycle, automating translation, QA, post-editing, and the operational work around it (XTM AI Agent) with your brand context and compliance rules built into every step. It is an architecture, not a single feature.

Most AI translation tools rely on thin context, just a glossary entry, or a TM match. XTM Intelligence uses a multi-signal context layer that draws on your translation memory, glossaries, style guides, and surrounding segments, and then adds end-to-end quality intelligence (TQI), configurable thresholds, and agentic automation. The difference is governance across the entire pipeline, not a single MT feature.

While Phrase and Smartling offer AI-assisted translation, neither has BYOK options for a breath of AI features. More importantly, XTM IQ goes beyond translation generation into the operational layer: automating vendor assignment, project coordination, and reporting. For enterprise localization programs, that means less PM overhead, more throughput, and fewer bottlenecks slowing delivery at scale.

Yes. TQI delivers a numerical score per segment from a three-model consensus. Scores act as a live control plane: high-confidence translations publish immediately, lower-scoring segments go to human review.

A retrieval-augmented generation (RAG) architecture pulls context from your TM, glossaries, style guides, and neighboring segments, so output reflects your voice and terminology — no retraining cycles, and far less off-brand wording.

Yes. AI post-editing and quality evaluation apply to any workflow regardless of source, removing the governance blind spots that appear when AI is locked to MT pipelines.

Governance across AI, MT, and human pipelines: BYOK for your own AI models, configurable quality thresholds, and AI orchestration extended into vendor assignment and project monitoring, always keeping localization aligned with business and risk policy.