Rethinking products with machine learning.
We build machine learning platforms that generate and label data at a massive scale to change the way people think about unstructured visual data. We've leveraged our deep learning platform, Hive, to collaborate with partners to solve mission-critical and impactful problems in a variety of domains.
In 2013, we set out with an ambitious plan to build a unique full-stack deep learning company. We initially built our own set of consumer media products that have reached over 100M users. We've leveraged the learnings and data from these products to build Hive, our flagship machine learning platform for visual intelligence. Today, Hive is transforming the way different verticals view unstructured visual data.
The ultimate goal of Castle is to bring machine learning into enterprise grade applications that will change the way humans interact with data. We believe that any vertical that has unstructured visual data will be a user of our products.
We believe that our full-stack machine learning platform can drive innovation for many decades. It’s our job to make bold bets in building deep learning applications that previously seemed impossible, and we are assembling a team of engineers, designers, and business builders to help us execute on the bets we make.