Custom.MT AI Translation Platform is an MT (Machine Translation) and AI translation orchestration platform for localization teams and language service providers (LSPs). The platform enables localization teams to translate more content with consistent quality and predictable results by applying MT and AI across projects in a controlled way. How teams use Custom.MT AI Translation Platform: – Orchestrate MT and AI usage Configure workflows that combine MT engines, large language models (LLMs), prompts, and terminology assets based on project and content requirements. – Customize workflows for optimization Adapt translation workflows to different languages, domains, and quality goals, using customization to improve consistency, quality, and efficiency. – Works with your existing CAT tools and TMS Custom.MT AI Translation Platform fits into your current workflow without requiring changes. It integrates with Trados, memoQ, Smartcat, Smartling, and XTM, with custom integrations available if needed. Custom.MT AI Translation Platform provides centralized access to 30+ MT and LLM providers, including GPT-5, Claude 4.5, Gemini 2.5, DeepL, Google, Lara, ModernMT, Pangeanic, and others. Key features (shortened): – AI workflows: Build workflow templates combining NMT (Neural Machine Translation) and LLMs with style, formality, and measurement settings. – Automated post-editing (APE): Improve MT output using LLMs with reusable custom prompts. – Prompt management: Create, edit, and reuse GenAI prompts to control tone, style, and output behavior. – Best Engine evaluation: Compare MT and LLM performance using TM (Translation Memory) proximity, BLEU, and WER metrics. – AI glossaries: Apply terminology assets that automatically adapt to context, grammar, gender, and number. – Centralized access and security: Access multiple MT and LLM providers through a single platform, with data processed in the EU (AWS Frankfurt, ISO 27001 / SOC 2). Custom.MT AI Translation Platform enables localization teams and LSPs to scale AI-driven translation workflows while maintaining visibility and control over quality and performance.