Around the time Dipayan was finishing up his PhD, he was frustrated about the state of Data Science. He wanted to democratize data science. But, the tool-kits were so complex, that a layer of data-scientists were a MUST for even the simplest things.

Not only that, data scientists were spending too much time on the grunt-work, and too little time on generating actionable insights.

Swarna was coming from personal experience: the biggest obstacle in extracting value was data scientists being too far away from business.

But, to do anything, the baseline requirements were an ability to code in Python/R/Java, and an advanced knowledge of math. As a result getting anywhere was extremely expensive. He was wondering: Why are there no tools out there for business users like him?