Neptune offers a lightweight collaboration tool for data scientists to track the entire experimentation process, visualise results, and share insights. It supports Python and R and integrates with common frameworks and tools such as Keras, TensorFlow, Scikit Learn, and PyTorch, and can be used with any cloud or in-house infrastructure. The product is positioned as a GitHub-like collaboration layer for data science teams to reduce chaos and improve project outcomes. The company cites broader market dysfunction—Gartner estimates 85% of data science projects fail—as part of the opportunity. Founder and CEO Piotr Niedźwiedź says the near-term focus is on refining the product and value proposition to deliver the best user experience and feature set. The recent funding will be used to support those product and user-experience priorities in the coming months.

Total raised

$3M

Funding rounds

1

Latest round

Equity

Latest activity

Jan 2020