TextQL maps your data, writes down what it means, answers on it, and then does the work.
Ana, the ontology she reasons over, and everything that runs on it. One system, bought once — not seven tools you integrate yourself.
TextQL automates every step from intake to approval, so no patient waits on paperwork to start treatment.
SAP, Oracle, Teradata — forty years of tables, keys and codes no schema explains. Bring the query your team has been arguing about for a quarter, on the systems everything else skips, and watch where the answer comes from.
Teradata 96 cols
Workday 77 cols
Coupa 61 colsThe ontology writes back what each task finds, instead of rediscovering your schema from scratch. Same agent, same questions: a third of the cost, and 35.7% more accurate.
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Less spent per task
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Fewer turns to an answer
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Fewer tokens, complex queries
When I walked out of the first meeting with TextQL, I thought, wow, this is a product that many of our portfolio companies could benefit from.
"With TextQL, our analysts can now focus on high leverage tasks and the most challenging problems."
"We looked at a number of different solutions. We found TextQL to be the best."