Global Big Data Conference

Deepnote, a startup that offers data scientists an IDE-like collaborative online experience for building their machine learning models, today announced that it has raised a $3.8 million seed round led by Index Ventures and Accel, with participation from YC and Credo Ventures, as well as a number of angel investors, including OpenAI's Greg Brockman, Figma's Dylan Field, Elad Gil, Naval Ravikant, Daniel Gross and Lachy Groom. Built around standard Jupyter notebooks, Deepnote wants to provide data scientists with a cloud-based platform that allows them to focus on their work by abstracting away all of the infrastructure. So instead of having to spend a few hours setting up their environment, a student in a data science class, for example, can simply come to Deepnote and get started. In its current form, Deepnote doesn't charge for its service, despite the fact that it allows its users to work with large data sets and train their models on cloud-based machines with attached GPUs. As Deepnote co-founder and CEO (and ex-Mozilla engineer) Jakub Jurových told me, though, he believes that the most important feature of the service is its ability to allow users to collaborate.