Traindex.io

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AI-powered search without hiring a data science team.


🚫 It's surprising how many ways you can describe the same thing.
🚫 Keyword search is hard in specialized domains, such as patent search.
🚫 Upper limit to how many keywords can be used.
🚫 You need trained people to pick the right keywords.
🚫 Even with the right people, the search can be too narrowly constrained.


🔎 Semantic search techniques can help. How?

✅ Semantic search understands the meaning of the search, not just the literal keywords.
✅ Synonyms don't have to be explicitly included.
✅ No need to carefully pick the right keywords for the search.
✅ No need to derive page ranking or other indirect information to rank results.

🧠 There are well understood and tested machine learning models that enable semantic search: Doc2vec, LSA, BERT, GPT, just to name a few.

🧐 BUT...

🚫 Starting a data science program can cost ~$250k+ a year. That's if you're a scrappy startup. More if you're a large enterprise.
🚫 Building and hosting machine learning models has some unique cost centers that other software businesses don't: Compute; and Human in the loop.

⤴️ You upload data and Traindex.io gives you an API that you can integrate into your custom application or workflow.

🔍 Traindex.io engineers take care of:

✅ Data cleaning and preprocessing
✅ Hyper parameter tuning
✅ Training
✅ Hosting

💾 We have built-in data sets already indexed, so you don't need to bring anything to get started:

➡️ US Patents Corpus
➡️ Wikipedia
➡️ arXiv.org (coming soon)

👷♀️Don't have a team to do custom integration? No problem. We offer professional services at very reasonable rates.

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