Multilingual AI Training Data 150+ Languages, Worldwide, License-Verified 241 Countries Coverage

I built the provider because I kept seeing the same problem: every large AI lab already has English text, Wikipedia, Common Crawl, all of it, millions of times over. What almost nobody has is real coverage of the other 6,000+ languages spoken in the world, or the specialist material that never makes it into a general web scrape. So instead of scraping the obvious places, I went after the deep web: institutional archives, national and academic libraries, government open-data portals, specialist repositories that don't show up in a normal search index. Over months of harvesting, verifying, and re-verifying, that turned into a corpus spanning 150+ languages and 140 subject niches. Real coverage of languages you won't find anywhere else at any price, Manx, Guarani, Cornish, Gothic, Mon, Lower Sorbian, Inuktitut, Aymara, Scottish Gaelic, sitting alongside deep material in law, medicine, historical texts, and technical fields. I don't just harvest and ship, though. Every single document goes through a verification pipeline before it's included: License checking that defaults to "no." Anything non-commercial, share-alike, or unverifiable gets excluded, not flagged and kept anyway. Text-level copyright screening, not just trusting whatever license the source claims. I've personally found and removed pirated modern textbooks sitting inside collections that were supposedly public domain. License metadata alone isn't enough, so I check the actual text. PII detection that's format-validated,