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Comet is now available natively within AWS SageMaker!

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Our mission is to empower practitioners and teams to achieve business value with AI.

Comet builds tools that help data scientists, engineers, and team leaders accelerate and optimize machine learning and deep learning models. Organizations of every size—from academic teams to startups to enterprise companies—use our platform to build better ML models faster.

Leadership Team

AI: The Century’s Biggest Opportunity

Despite machine learning’s proven potential to deliver outsized business outcomes, it is a slow, iterative process with many challenges and moving parts. Addressing fundamental pain points and reducing friction in the ML workflow allows data scientists and ML practitioners to share their work, iterate, and reproduce results so they can build better models faster.

"Leading edge companies that have implemented modern AI development platforms are realizing the benefits, full potential, and value from their machine learning initiatives."
VentureBeat, 2022
Gideon Mendels headshot | Comet ML

Gideon Mendels
CEO and Co-founder, Comet

The New ML Development Stack

Today, there is too much distance between machine learning done in academia and creating real value from machine learning initiatives in production environments. Most companies are still trying to figure out their processes and technology stacks, and many are struggling to realize value from their machine learning investment.

To reduce the friction caused by disconnected ML tech stacks and to help companies realize value from ML, Comet focuses on the three core elements of development: experiment management, model management, and production monitoring. Comet’s highly customizable ML development platform allows data scientists and engineers to manage and optimize models across the entire ML lifecycle in a single user interface.

MLOps lifecycle graphic with Comet logos over what the Comet platform does

From Startups to the World's Largest Companies

Hundreds of organizations use Comet’s platform to track, compare, explain, and optimize models from training runs through production. An estimated 70% of people in North America have interacted with a machine learning or deep learning model that was trained using Comet’s platform.

Ancestry Logo
Assembly AI Logo
Etsy Logo
Shopify Logo
Uber Logo
Zappos Logo
NatWest Group logo

Headquartered in New York City, with Offices in Tel Aviv

Comet has a global, remote-first workforce. We are committed to supporting a diverse working environment, and we support each team member as a unique and valuable contributor to the advancement of data science and machine learning.

Come work with us

2017

Comet launched

80

employees in 14 countries

$70M

in funding

450

enterprise, startup, and academic teams

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