Deepnot is a startup that offers data scientists an IDE-like collaborative online experience for building their machine learning models.
Deepnote's to solve the most difficult data science and machine learning problems.
Deepnote was founded in 2019 by Jakub Jurových. The compan is headquartered in Prague, Prague, Czech Republic.
Deepnote is building a new kind of data science notebook that makes data science teams radically more productive. Deepnote is fully compatible with Jupyter, but adds real-time collaboration and easy deployment. Deepnote increases your productivity even when you are working by yourself, whether you are exploring and cleansing your data or building ML models.
Deepnote integrates with your existing infrastructure and the workflows you like. Working with your datasets is easy and secure. 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.
Deepnote has raised $3.8M in a Seed round on Feb 06, 2020. The investment was 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.