Enterprise Tech / Development
Best Version Control & Experiment Tracking Companies
What is Version Control & Experiment Tracking?
Experiment tracking vendors are creating platforms that promote collaboration by enabling teams to automatically track, log, and compare thousands of iterations of ML experiments. Utilizing these platforms, teams are able to keep records of changes made to training data, source code, and model parameters as well as track all ML-related metadata. Some vendors focus primarily on data version control (tracking changes made to data used in AI experiments), while others provide end-to-end experiment management.
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Top Version Control & Experiment Tracking Companies
Comet provides a self-hosted and cloud-based meta-machine learning platform allowing data scientists and teams to track, compare, explain, and optimize experiments and models. Comet was founded in 2017 and is based in New York, New York.
Weights & Biases provides a developer-first machine learning operations (MLOps) platform. It offers performance visualization tools for machine learning, tracks experiments, manages and version data, and collaborates with the team. Weights & Biases was founded in 2017 and is based in San Francisco, California.
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Fiddler provides Model Performance Management (MPM) platform that allows companies to analyze, manage, and deploy their machine learning models at scale. The company offers model monitoring, explainable artificial intelligence, analytics, and more. It serves enterprises and startups. The company was founded in 2018 and is based in Palo Alto, California.
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dotData provides an end-to-end data science automation platform that accelerates, democratizes, and operationalizes the entire data science process with artificial intelligence/machine learning. The company was founded in 2018 and is based in San Mateo, California.
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Datatron is an enterprise artificial intelligence (AI) platform. The company offers artificial intelligence (AI) monitoring and artificial intelligence (AI) governance solutions to streamline machine learning operations and governance workflows. It was founded in 2016 and is based in San Francisco, California.
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Datature is a platform for training and deploying machine learning models swiftly. The platform allows users to manage multiple machine learning projects, across multiple data sources.
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DoltHub hosts Dolt databases. DoltHub adds a web interface, issues and pull requests to the Dolt ecosystem.
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Iterative provides machine learning (ML) development tools. It builds DVC, CML, MLEM, and other developer tools to manage datasets, ML infrastructure, and ML model lifecycle management. The company was founded in 2018 and is based in San Francisco, California.
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Neptune is a platform built for data scientists to make machine learning models development fast and reliable. With Neptune data scientists can easily monitor, compare, track and reproduce their experiments and results. Neptune was founded in 2017 and is based in Palo Alto, California.
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Our Methodology
The ESP matrix leverages data and analyst insight to identify and rank leading private-market companies in a given technology landscape.
What is Version Control & Experiment Tracking?
Experiment tracking vendors are creating platforms that promote collaboration by enabling teams to automatically track, log, and compare thousands of iterations of ML experiments. Utilizing these platforms, teams are able to keep records of changes made to training data, source code, and model parameters as well as track all ML-related metadata. Some vendors focus primarily on data version control (tracking changes made to data used in AI experiments), while others provide end-to-end experiment management.
Expert Collections
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Do you compete within Version Control & Experiment Tracking?
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Your future customers are researching their next tech solution on CB Insights. Make sure they can find you.