Go chapter-length
Translate full chapters with context intact, then finalize the work paragraph by paragraph in a focused bilingual editor.
Exclusive publishing tech from the IPA Innovation Award Finalist 2026
Translating Books? Begin a New Chapter
Introducing Tiger — an intelligent translation editor for books and other long-form content. Powered by memory intelligence, it preserves context, culture, and creative intent while delivering IP-ownable translations.
A new editor for longform translation
Tiger, the Global Editor, is a purpose-built workspace for translating books and other long-form content at chapter scale. It combines AI-powered translation, paragraph-level editing, Memory Agents, formatting tools, collaboration, and API-ready production workflows.
Memory Agents
Use agents that learn from glossaries, style instructions, reference translations, and edited outputs.
Production toolkit
Move faster with auto-formatting, collaboration, DOCX, IDML, ePub support, and API integration options.
Why Ailaysa Tiger?
Ailaysa Tiger is shaped by five years of real-market experimentation translating books into 30+ languages. It brings together publishing expertise, AI infrastructure, and human-led practice to make longform translation ownable, scalable, and production-ready.
Exclusive longform focus
Built specifically for books, courseware, knowledge bases, and creative content where chapter-level context matters.
Humans stay in control
Tiger is not a generic human-in-the-loop system. Experts remain in the driver seat while agents assist the process.
Your style, your data
Use prior work, new edits, terminology, and preferences to shape outcomes that reflect your voice and standards.
IP-centric outcomes
Translations are shaped by your engagement, preferences, and data, making the final work practically ownable by you.
Publisher-proven process
Developed through deep experimentation with publishers and translators, not as a generic GenAI translation wrapper.
Enterprise confidence
Designed for global data-location practices and AI policy expectations, including US and EU compliance needs.
Built for Books
This demo shows why purpose-built AI workflows outperform generic LLM APIs.
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