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Companies we are talking to, all tell us the same thing: "We have tons of data but are lacking the time and the resources to convert them into insights." So, how do you take a decision without the necessary insights into your data?
With Scavenger, users can upload datasets of any format and size (20 Excels, 3 PDFs, 2 PPTs,..) and then ask a question, as simple as demonstrated by one of our pilot partners: "My performance last month was worse - why?". Our Machine Learning algorithms then perform 10,000 of tests in the back-end and detect any relations and information inside the data. Our AI then enriches this numerical output with real-time industry data and translates the numerical result into an answer to the question asked before.
Companies we are talking to, all tell us the same thing: "We have tons of data but are lacking the time and the resources to convert them into insights." So, how do you take a decision without the necessary insights into your data?
With Scavenger, users can upload datasets of any format and size (20 Excels, 3 PDFs, 2 PPTs,..) and then ask a question, as simple as demonstrated by one of our pilot partners: "My performance last month was worse - why?". Our Machine Learning algorithms then perform 10,000 of tests in the back-end and detect any relations and information inside the data. Our AI then enriches this numerical output with real-time industry data and translates the numerical result into an answer to the question asked before.
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maximilian@scavenger-ai.com
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