Comet is an MLOps (Machine Learning Operations) platform designed for data scientists and machine learning engineers. It provides tools to track, compare, explain, and optimize ML experiments and models throughout the entire lifecycle. Comet helps teams manage their workflows, collaborate more effectively, enhance reproducibility, and ultimately build and deploy better models faster. It supports all major machine learning libraries and integrates seamlessly into existing ML pipelines.
Serves as the company's official corporate base, handling strategic planning, finance, global operations, and leadership functions. While Comet embraces a distributed team model, the NY presence anchors its U.S. operations.
As the listed address is a Private Mailbox (PMB), it primarily serves as a registered business address rather than a large, physical office with distinct architectural features. Comet's operational infrastructure is more focused on digital collaboration tools for its distributed workforce.
Comet fosters a remote-first, innovative, and collaborative work culture. It emphasizes agility, continuous learning, and empowering its team to solve complex MLOps challenges. The culture supports a diverse, global team connected through shared goals and cutting-edge technology.
The New York headquarters establishes Comet's legal and corporate presence in a major global technology and financial hub. This location provides strategic advantages for business development, investor relations, and access to a broad talent market, even with a distributed team.
Comet maintains a global presence through its distributed team, with employees and key operations spanning North America (primarily USA and Canada), Europe, and Israel. This international footprint allows Comet to serve a worldwide customer base, access diverse talent pools, and drive innovation in MLOps solutions across different markets. Core functions like engineering, sales, marketing, and customer support are managed globally to ensure comprehensive coverage and responsiveness.
228 Park Ave S, PMB 70091
New York
New York
USA
Address: Distributed/Remote (No single public office address)
Focuses on core product development, advanced feature creation, and tapping into the EMEA market. Complements the US-based operations by providing a global R&D footprint.
Address: Remote positions across North America, Europe, and other regions.
Enables Comet to attract top talent globally, provide localized support to its international customer base, and maintain a flexible and scalable operational model.
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As of April 2025, Comet' leadership includes:
Comet has been backed by several prominent investors over the years, including:
Comet continues to strategically build its leadership team to support rapid growth and innovation in the MLOps landscape. While specific C-level changes are not always broadly publicized for private companies, Comet focuses on attracting experienced leaders for key functional areas. (The following is a representative example, as public announcements of executive moves can be limited.)
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Comet primarily uses the email format `first@comet.com`. This is a common and straightforward pattern allowing for easy contact with team members. Other potential formats like `first.last@comet.com` or `flast@comet.com` might exist but `first@comet.com` appears to be the predominant one.
first@comet.com (e.g., jane@comet.com)
Format
gideon@comet.com
Example
85%
Success rate
PRNewswire • March 26, 2024
Comet was recognized as a Leader and Fast Mover in the 2024 GigaOm Radar for MLOps. This acknowledgment highlights Comet's robust platform capabilities and its innovative approach to helping organizations manage the complexities of the machine learning lifecycle....more
Comet Blog • February 27, 2024
Comet launched CometLLM, a new suite of tools specifically designed to address the challenges of developing, evaluating, and monitoring Large Language Models (LLMs), from prompt engineering to production observability....more
Comet Blog • November 1, 2023
Comet announced an integration with CodeCarbon, enabling users to track and report the CO2 emissions of their machine learning experiments directly within the Comet platform. This initiative aims to promote more sustainable and environmentally conscious AI development practices....more
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