Mission
We want to give production ML teams the same level of control and confidence when building models as software developers have when shipping applications.
Story
2016
Prototype created during a Kaggle competition
2017
Used internally at deepsense.ai
2018
Spun off as a Startup
2018
$1.7M Pre-seed round led by TDJ Pitango Ventures
2019
We are 10+ people
2019
$3M Seed round led by btov Partners
2021
neptune.ai on “100 Top AI startups list” by CBInsights
2022
We are 30+ people
2022
$8M Series A round led by Almaz Capital
2022
neptune.ai on “100 Top AI startups list” by CBInsights
2023
$6M funding round
2023
We are 50+ people
Numbers & Customers
$
18000000
+
In funding
50000
+
Data Scientists and ML Engineers trusted Neptune
1500
+
Commercial and research teams
30000
+
Projects tracked
In the news
State of Data Science and Machine learning 2021
Top 100 AI startups 2021 by CBInsights
Series A Venture Beat
Top 100 AI startups 2022 by CBInsights (second time)
TheSequence: Piotr Niedzwiedz, neptune’s CEO on Ideas About Machine Learning Experimentation
DataSkeptic: MLOps best practices with neptune.ai CEO Piotr Niedzwiedz
AI in Business: Going from AI services to product with neptune.ai CEO Piotr Niedzwiedz
MLOps Podcast: Experiment Tracking in the Age of LLMs with Piotr Niedźwiedź
Our investors
Leadership
Piotr Niedźwiedź
CEO & Founder
Paulina Prachnio
Chief Revenue Officer
Jakub Czakon
Chief Marketing Officer
Magdalena Puchała
Chief Financial Officer
Aurimas Griciūnas
Chief Product Officer
Armenia • Bulgaria • Cambodia • Finland • France • Georgia • Germany • Lithuania • Netherlands • Poland • United States • Switzerland
We work from 12 different places around the world