On Lingo.dev, teams configure localization engines: Stateful translation APIs with glossaries, brand voice rules, per-locale model chains, and AI quality scoring, and then call them via API, CLI, CI/CD, or MCP.
Lingo.dev v1 将本地化从缓慢、易出错的外包流程转变为可按需配置的基础设施，以代码速度运行。团队构建有状态的本地化引擎，持久化存储术语表、品牌语调和模型链——然后通过 API、CLI、CI/CD 或 MCP 调用，确保每个区域和每次发布的术语一致性。
面向全球市场的成长期和企业级公司的工程团队，以及希望用可扩展、可衡量的基础设施取代外包瓶颈的本地化负责人。
The Infrastructure Behind AI Agencies | White-Label Platform
A reasoning model that interprets intent before it generates
The context layer for production-grade AI agent
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LLM Wiki + NotebookLM, in one closed-loop Proactive AI
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Voice AI that feels as good as it sounds
Recruit agents to run your company as a synchronous team
AI Teams That Build Themselves
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The Amp CLI has been rebuilt from the ground up
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