Our Company
We started in December 2019, with only one goal in mind - how to make data science accessible to each and all. Our experiences made us realize that except for problem formation and creating a dataset (from transactional usually), everything can be automated. There can be code for cleaning data, model building, finding the best parameters etc.
Moreover, we have seen not everyone has time to learn code or data science concepts, so why not let a product take care of your AI.
Our Vision
Making Machine Learning accessible and cost-friendly to everyone
Our Story
We started out as a team of 2 people and slowly expanded, all bootstrapped and very cautious. Since, we started out in Stillwater, Oklahoma (student town), there was a lot of support from the community, be it professors or students.
Initially, we built the whole platform on python and C language using many pre-built libraries. But soon we realised, the biggest challenge and most time-consuming task is data preparation for Machine Learning. For example null values, text, improper format, multiple formats within a variable and so on. Further, many variables have to be transformed in order to be used in models, for instance, dates cannot be used at is, they have to be transformed into other variable types (mostly numeric).
So then began the most daunting task, it took us 6 months and 1000+ experiments with the most complex datasets. We still continue to improve this process but have reached a very good stage now.
We started beta testing towards the end of 2020 and had good feedback mostly.
Today, we a few dozen businesses partnering with us in this special journey.
Right now, we are working towards making our web application more user-friendly to non-technical people.
Jobs
We make job postings from time to time. If you think, you are a good fit and want to change how data science is done, feel free to fill out this form and tell us the job which we should create for you.