Secure Japanese translation AI grounded in 19 years of work on the translation front lines.
Secure U.S.-based infrastructure · Your content never trains our models
Our founder led translation work in Japan for 19 years—more than four thousand projects for enterprises, exacting clients, and public-sector organizations in Japan and the United States. Much of the work involved confidential, critical documents of the kind Fortune Global 500 companies rely on when strategy, deals, or reputation are on the line. On mission-critical documents, delivery quality stayed central: tight deadlines were real, but never a reason to skip the judgment those files deserve. When tone or nuance cannot slip, fluency alone is not enough—cultural literacy, domain context, and judgment matter.
Those production workflows stress-tested translation-assistance tools, workflow systems, and—more recently—AI translation products; internal utilities were built where off-the-shelf tools fell short. Even then, the leading AI translation engines often skipped critical sentences, ignored context, and on past projects, in practice more than 80% of segments still needed a full rewrite; taken alone, their output was still nowhere near enterprise-grade Japanese–English deliverables. Using them in production also meant fixing formatting the tools had broken; process, terminology, and reviewer judgment stayed in the loop.
Leading chatbots such as ChatGPT and Claude often produced surprisingly high-quality output when given enough context—but we could not use them on confidential client work. Even paid plans from major vendors may still allow provider-side model training; combined with residual information-leak risk, that was unacceptable for the material we handle.
Because of that gap, we built an internal AI model to run inside a secure environment suited to confidential work, and integrated it into live client engagements for continuous improvement. It was never just a concept or a coding exercise: it was production software battle-tested in the real workflows of our most demanding client environments.
When we judged that AI-first Japanese–English quality could meet the expectations of clients who had set the strictest bar for us, we built the capabilities to offer this AI model as Manjiro to outside clients as well. We then wound down the human translation service we had provided for many years, phasing it out in stages; those quality standards carry into Manjiro.ai's design.
Manjiro.ai extends current-generation large language models (LLMs) on infrastructure we control. Your submissions are handled in that walled environment—they are not surfaced to LLM vendors or unrelated third parties for model training, fine-tuning, or product improvement, and we do not use your content to train our own models. Our production stack is hosted in secure U.S. data centers.
Our approach improves outputs inside that closed, secure boundary—without establishing a feedback loop that would let model developers use your content to train or tune their models. At the same time, we integrate best practices from professional linguists and language-service workflows into that same controlled pipeline. That architecture and related methods are patent pending.
Where we add value is on top of that foundation: know-how from the founder’s translation practice—how to optimize inference, structure jobs, and judge output—so you capture the practical upside of modern AI without treating confidentiality as an afterthought.
Industry estimates suggest AI-generated text already rivals human output in sheer scale—and English dominates that corpus. We are building infrastructure so Japanese language can thrive in the AI era: not merely survive, but flourish.
I had no idea this document was translated with AI—the turnaround was so fast that it finally made sense.
In 1841, a young fisherman from Tosa was shipwrecked in the Pacific and rescued by an American whaling crew. He made the crossing, lived in the United States, and acquired English alongside navigation and surveying—skills almost no one from Japan could yet claim. Years later he sailed home to a country still largely closed to the outside world.
His name was John Manjiro (1827–1898). He was a translator in the deepest sense: not exchanging words on a page, but conveying meaning, respect, and intent between civilizations at a turning point in Japanese history. As Japan opened to the West, he served as a human bridge—interpreting what was meant, not merely what was said.
We founded Manjiro.ai to continue that work in the age of artificial intelligence.
