# General Translation Blog: Raising $27m to localize the world’s best companies URL: https://generaltranslation.com/en-US/blog/a.mdx Docs index: https://generaltranslation.com/llms.txt Description: General Translation raises $27m across Series A and Seed to build AI-native full-stack localization Authors: Archie McKenzie Published: 2026-11-10
## Our mission
**The world’s best companies have global missions.** Ramp’s ambition is to “give every business the capabilities of exceptional companies.” Cursor’s goal is building “a magical tool that will write all the world’s software.” Sierra exists to “help the great companies of the world show up at their best.” General Translation’s mission is bringing these world-class companies into every language. We build the infrastructure to localize apps, sites, docs, slide decks, and even product videos, then keep translations in sync as they change. Our largest customers translate products used by millions into over 60 languages. Today, I’m honored to announce that we have raised $27m across Series A and Seed rounds to continue this mission. Martin Casado and Jennifer Li at Andreessen Horowitz (a16z) led our Series A and Aditi Maliwal at Upfront Ventures led our Seed. ## What is full-stack localization? We serve teams at some of the fastest-growing companies in history, who use AI to ship better products more quickly than ever before. They launch landing pages and publish product dashboards. They develop iOS and Android apps. They write onboarding emails and build sales decks. They create technical documentation, help center articles, breathtaking demo videos, and social media graphics. Since they grow so quickly, they also need to scale these customer experiences to multiple languages even faster. This work – localization – spans codebases, version control systems, content stores, and text embedded in images and videos. It’s an applied intelligence challenge; translations need to be accurate and sound natural. But it’s also a context challenge. If the Spanish version of a product describes a feature using particular words, then those words should also appear in the Spanish docs and marketing. Localization used to be a multimillion-dollar, multi-quarter effort. Even to get started, engineering teams had to rip out translatable text from the design and logic in their code. This enabled their codebases to support multiple languages, but permanently maimed the code, and for many companies, the refactor alone took months. Then, they had to organize ongoing translation work across endless agencies, review platforms, and other intermediaries. It was a mind-numbing, manual, painful, slow coordination problem. **We approach localization as a systems problem.** General Translation is the first company building localization from end to end. That means open-source developer tools, translations, automations, and versioning systems delivered together. We call this full-stack localization. It unlocks: - Translations for any file format, including raw video, with context-aware copy. - Interfaces that rearrange themselves language by language, changing style and order of components as well as text. - Continuous localization across GitHub, Slack, and Linear, with one prompt. This would be impossible with legacy point solutions. The world’s best companies need infrastructure that works across code, content, and context. General Translation is building this infrastructure and making it agent-first and open by default. Every part of our product is available over API, MCP, and CLI, with agents as first-class citizens. Every customer gets unlimited seats and unlimited languages; all pricing is usage-based. Every developer tool we make is open-source under the MIT license. This makes scaling into another language as easy as asking an agent to “localize my app with General Translation.” Star us on GitHub: [generaltranslation/gt](https://github.com/generaltranslation/gt) Set up with your agent: copy the [start prompt](https://generaltranslation.com/agent-prompt.md) ## Our investors We now work on our mission alongside Martin Casado and Jennifer Li at a16z, who led our Series A, and Aditi Maliwal at Upfront Ventures, who led our Seed. Martin and Aditi have joined the board alongside Brian Kernighan, the co-author of *The C Programming Language*. Brian was my professor at Princeton and an early angel investor in our company. Two years after I sketched out the first version of our product on his office whiteboard — and more than fifty after he wrote the first-ever “Hello, world” program — his wisdom is still invaluable. a16z invested alongside many of my entrepreneurial heroes, including Fei-Fei Li (World Labs), Guillermo Rauch (Vercel), Karim Atiyeh and Eric Glyman (Ramp), Scott Wu (Cognition), Nick Sharp (Attio), Brendan Foody (Mercor), Mati Staniszewski (ElevenLabs), James Cadwallader (Profound), and John Andrew Entwistle (Wander). We are also backed by Peter Thiel, Zoe Weinberg at ex/ante, Josh Browder at Browder Capital, Conviction Embed, SV Angel, and Databricks Ventures. Finally, I am grateful to the angel investors who believed in us early: Jonathan Betz, Marc Donner, Andrew Milich, Theodor Marcu, Cristina Cordova, Theo Browne, Sophie Fujiwara, Ram Shriram, Chiara von Gerlach, and many more. – Archie McKenzie ## Sitemap See the full [sitemap](https://generaltranslation.com/sitemap.md) for all pages.