Why Traindex?
\n\n Search with an understanding of meaning and not just the literal keywords\n
\n \nSynonyms don't have to be explicitly included
\n \nNo need to carefully pick the right keywords for the search
\n \n\n No need to derive page ranking or other indirect information to rank results\n
\n \nInvalidation Search
\nGet a free invalidation search report in your email inbox
\n\n Built on open technologies\n
\nTraindex uses battle tested machine learning models
\n\n Search what they mean, not what they say\n
\nKeyword search fails in specialized domains like patent search
\n\n It's surprising how many ways you can describe the same thing. Don't guess the exact words\n used to describe what you are looking for.\n
\n \n\n You're limited to a few keywords. Don't waste time picking the most relevant keywords that\n appropriately represet your document.\n
\n \n\n You have specially trained people. Save your personnel's time, effort, and the drudgery of\n doing menial tasks.\n
\n \n\n With keyword search, it's easy to miss the mark. Too narrow and you miss things. Too broad and\n you have too many results.\n
\n \n\n Don't reinvent the wheel\n
\n \n\n Starting a data science program can cost ~$250k a year. That's if you're a scrappy startup.\n More if you're a large enterprise.\n
\n\n Building and hosting machine learning models has some unique cost centers that other software\n businesses don't:\n
\n\n Skip the product development phase and focus on building the best experience for your users\n
\nDone for you service
\n\n You upload data and Traindex gives you an API that you can integrate into your custom application or\n workflow. Traindex engineers take care of:\n
\nData Catalogs
\n\n We have data catalogs already indexed, so you get started right away. Our quickly growing list of\n publicly available datasets:\n
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