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To make ML Engineers' work more efficient, providing them with an easy way to track their work and collaborate. Our goal is to become the MLOps standard for ML teams worldwide.
10% employee growth in 12 months
Teams that work with machine learning models often struggle coordinating their activities, and it can be hard to make the exact datasets being used, code versions, hardware and other metadata match up. This leaves quite a mess for teams which needs to be manually untangled if a bug arises.
Neptune.ai hopes to bring the same tools to machine learning as are used by most software development teams in other fields. It provides a collaborative platform which includes tools for data observability and orchestration. It's also the central source of truth for all machine learning metadata used by a company, which makes locating and fixing issues far easier for engineers. This has been seized on with alacrity by numerous machine learning teams: over 30,000 engineers in around 500 teams have logged millions of hours on the platform since its founding.
Neptune has raised a significant amount of funding which is being used to further develop the platform, as well as to build out more integrations within the machine learning development ecosystem. It is also hiring extensively as it aims to scale its operations with the goal of becoming the machine learning operations standard for data scientists and engineers worldwide.
Kirsty
Company Specialist at Welcome to the Jungle
Apr 2022
$8m
SERIES A
Feb 2020
$3m
SERIES A
Piotr Niedzwiedz
(CEO)Previously Co-Founder and CTO at deepsense.ai, CodiLime and a Software Engineer Intern at Facebook.