Comet ML is a pioneering MLOps (Machine Learning Operations) platform designed to help data scientists and machine learning teams accelerate and optimize the entire lifecycle of their AI models. From experiment tracking and model versioning to model monitoring and collaboration, Comet provides robust tools to build reliable machine learning applications faster. It enables users to automatically track datasets, code changes, experimentation history, and production models, providing full visibility and reproducibility. Comet supports all machine learning libraries and integrates seamlessly into existing workflows, empowering enterprises and individual researchers to scale their AI initiatives effectively and responsibly.
Serves as the official registered address and a touchpoint for Comet ML's distributed operations. Key functions managed centrally, though executed by a remote-first team, include strategic planning, finance, legal, and high-level product strategy.
As a PMB address, specific architectural features are not applicable. The company's 'notable features' are its robust digital infrastructure and remote collaboration tools enabling its global workforce.
Comet ML champions a remote-first, highly collaborative, and innovative work culture. Employees are empowered with autonomy and flexibility, focusing on results and continuous learning in the fast-paced MLOps domain. The New York registration provides access to a dynamic tech ecosystem.
The New York registration anchors Comet ML in a leading global center for technology and finance, offering strategic advantages for partnerships, investor relations, and access to a diverse talent pool, even with a primarily remote workforce.
Comet ML supports a global user base and team through its remote-first operational model and strategic talent hubs. Its MLOps platform is accessible worldwide, serving data scientists and machine learning engineers across diverse industries and geographies. Key functions such as engineering, sales, marketing, and customer support are distributed internationally to cater to a global clientele and ensure continuous innovation and operational coverage across different time zones.
228 Park Ave S, PMB 85251
New York
New York
United States
Address: Specific street address not publicly listed; operations are likely within a tech hub or co-working space, or distributed among remote team members in the region.
Serves as a significant engineering and innovation center, contributing to product development and leveraging the vibrant Israeli tech ecosystem for talent and cutting-edge research.
Address: N/A (Distributed Workforce)
To attract top talent globally, provide localized support to a worldwide customer base, and foster a flexible and diverse work environment.
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As of April 2025, Comet ML' leadership includes:
Comet ML has been backed by several prominent investors over the years, including:
No major public announcements regarding executive hires or departures have been identified for Comet ML in the last 12 months (as of late 2023/early 2024), suggesting a period of stability within the core leadership team.
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Comet ML primarily utilizes a direct email format, commonly using the employee's first name followed by the @comet.com domain. This structure is prevalent in modern technology companies, aiming for simplicity and ease of communication.
first@comet.com
Format
gideon@comet.com
Example
90%
Success rate
PR Newswire • July 26, 2023
Comet announced the launch of CometLLM, a comprehensive solution designed to help data scientists and ML engineers build, evaluate, and operationalize Large Language Models (LLMs) from experimentation through to production, addressing unique challenges in LLM development....more
Business Wire • June 27, 2023
Comet unveiled an integration with Snowflake, the Data Cloud company. This collaboration allows users to track ML experiments and models utilizing data from Snowflake directly within the Comet platform, thereby improving MLOps workflows, reproducibility, and governance....more
Business Wire • May 10, 2023
Comet announced new capabilities for its MLOps platform, including advanced model explainability features and enhanced governance tools, aiming to provide deeper insights into model behavior and streamline regulatory compliance for machine learning projects....more
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