{"id":84681,"title":"Lingo.dev – The Localization Engineering Platform","tagline":"Lingo.dev is the localization engineering platform: the best way to measure translation quality, translate with LLMs, and proofread with native speakers.","body":"![uploaded image](/media/?type=post\u0026id=84681\u0026key=user_uploads/1992394/c62aca07-353c-49ad-a49e-b403d1b784e0)\n\n**TL;DR**\n\n[Lingo.dev](https://lingo.dev) is the localization engineering platform: the best way to translate with LLMs, measure translation quality, and proofread with native speakers.\n\nIt's built for teams accountable for quality in languages they can't read: a localization team, or the product, engineering, or marketing team that inherited localization without one. Every translation is scored before it goes live, and scores and corrections tune the localization engine.\n\n**Speed stopped being the problem**\n\nA release goes out in thirty languages, and the person accountable for it reads two.\n\nTranslation comes back fast now, from an agency or straight from a model, and it gets cheaper every quarter. The number nobody hands you is the quality one: which languages are good, which drifted, and what to fix first. Without it you are accountable for quality you can neither read nor repair.\n\n**What Lingo.dev does**\n\n* **Build your own localization engine.** A localization engine is a stateful translation API that holds your glossary, brand voice, and per-locale model preferences. Retrieval augmented localization sends that context to the LLM at inference time. Assign the highest-scoring model per language pair, with a fallback order, on your own LLM provider API key or through Lingo.dev without markup.\n* **Measure translation quality in languages you can't read.** Pick from the industry-standard metrics, define your own quality criteria in plain words, bring the quality scorecard you have, or start from a template built for your content type. The criteria you define score translations from LLMs and from native speakers, and every low score comes with the reason, traced to the model, the translation rule, or the missing glossary term.\n* **Integrate localization into the tools you already use.** Connect the code repository, the CMS, the help center, and the email provider through native integrations, and reach the same localization engine from the API, the CLI, and CI/CD. The localization team runs the localization infrastructure.\n* **Proofread with native speakers.** Decide what waits for a person, by content type, by locale, or by a score threshold you set. Every correction tunes the localization engine, so the native speakers' edit rate falls over time.\n\n**Who runs on it**\n\nLingo.dev is the standard localization infrastructure for modern enterprise teams scaling into new markets, including Mistral, Solana, SoSafe, and Cal.com. Teams have processed over 300M words on the platform, for their customers all over the world. Lingo.dev is SOC 2 Type II compliant, and has raised $4.2M from Y Combinator, Initialized Capital, and the founders of Supabase and Dependabot to scale the platform and meet the growing demand from international teams.\n\n**Ask**\n\nIf you release into languages nobody on your team reads, we will score what goes live today, per language, on your own content.\n\nSet up Lingo.dev: \u003chttps://lingo.dev\u003e\n\nBook a demo: \u003chttps://lingo.dev/enterprise\u003e\n\nAnd send this to the localization professional you know. Scoring quality in languages nobody on the team reads is their job, and this is where that work happens.\n\n**Team**\n\n[Veronica](https://www.linkedin.com/in/vrcprl/) and [Max](https://www.linkedin.com/in/maxprilutskiy/), [Lingo.dev](https://lingo.dev)'s founders, met eight years ago at work. Veronica has a data science and AI background. Max has an engineering background, having led a DORA-elite frontend team at Typeform, one of Europe's best-known SaaS products.\n\nBoth experienced localization problems firsthand while working at startups and enterprise companies and while bootstrapping a SaaS with customers from over 100 countries. This shared experience led them to create Lingo.dev, so the professionals accountable for translation quality can measure it in every language, including the ones nobody on the team reads.\n\n![uploaded image](/media/?type=post\u0026id=84681\u0026key=user_uploads/1989733/dfd03586-1d6f-4747-b6fc-e0d84f5022a5)\n\n","slug":"M1p-lingo-dev-the-localization-engineering-platform","created_at":"2024-10-10T18:18:35.695Z","updated_at":"2026-09-18T22:05:29.952Z","total_vote_count":60,"url":"https://www.ycombinator.com/launches/M1p-lingo-dev-the-localization-engineering-platform","share_image_url":"https://www.ycombinator.com/media/?type=post\u0026id=84681\u0026key=user_uploads/1992394/2cabe3d2-bd61-4fa7-a650-1f2070ce55ea","company":{"id":30060,"name":"Lingo.dev","slug":"lingodotdev","url":"https://lingo.dev","logo":"https://bookface-images.s3.amazonaws.com/small_logos/8a284047c475d06365013890a991877b3bdad21e.png","batch":"Fall 2024","industry":"B2B","tags":["Artificial Intelligence","B2B","International","Infrastructure"],"search_path":"https://bookface.ycombinator.com/company/30060"}}