MindsDB is a framework to streamline the use of neural networks. It was designed to make it super easy for developers to use the power of machine learning in their projects.
We cultivate a culture where everyone knows that their perspectives—no matter how different—are always welcome.
We believe that curiosity is what creates meaningful, lasting change and what will allow us to make the kind of impact we hope to make in the world.
We believe that change-makers never stop asking questions and it is this need for answers that enable them to innovate.
We build strong relations through trust, integrity and efficient communication because people in all dimensions matter.
We understand that working smart(er) not only increases productivity but also enables us to make a bigger impact and get back to the things that matter the most.
We seek to do our best in all our initiatives while constantly remembering why we do what we do.
We believe that there is enormous power in data. The more a company has, the more they're able to propel their businesses forward. But only if they're able to get meaningful insights from it.
In the fall of 2017, best friends Adam Carrigan (COO) and Jorge Torres (CEO) came to the conclusion that too many businesses faced limitations when it comes to extracting meaningful information from their data. They realized that one of the biggest limitations was in how many of these businesses were severely under-utilizing the power of artificial intelligence. Adam and Jorge believed that machine learning could make data, and the intelligence it can provide, accessible to everyone.
So they designed a platform that would allow anyone to use the power of machine learning to ask predictive questions of their data and receive accurate answers from it. They called this platform MindsDB.
Since then MindsDB has brought on team members from around the world who’ve worked for companies including Couchsurfing, Deloitte, MongoDB, Skillshare.com, and Adswizz and are passionate about enabling businesses to use the power of artificial intelligence and machine learning to do more with their data.
We're now focused on continuing to make it incredibly easy for businesses to extract information from their data by creating tools and platforms that enable everyone to become a data scientist and, thereby, democratize machine learning along the way.
