INSUBCONTINENT EXCLUSIVE:
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,
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
with large data sets and train their models on cloud-based machines with attached GPUs.As Deepnote co-founder and CEO (and ex-Mozilla
keep two or three data scientists in sync, once you have a bigger team, you quickly run into issues because the current set of tools was
never meant to do this kind of work
That is, after all, what most data scientists are already familiar with
It then built the collaborative features around that, as well as tools for pulling in data from third-party services and scheduling tools
for kicking off jobs inside of the platform at regular intervals.Deepnote is already quite popular with students
Over time, the company obviously wants to bring more businesses on board, but for the time being, it is mostly focused on building its
Given its collaborative nature, the team also believes that the service will naturally grow through word of mouth as people invite others to
and building out the product, with a focus on the overall user experience
Even within the data science community, there are a variety of use cases, after all, and an NLP engineer has different needs from a computer
