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Comet ML's Overview

Total employees101
HeadquartersNew York
Founded2017

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.

Where is Comet ML's Headquarters?

Comet ML officeComet ML officeComet ML officeComet ML office
*Images sourced via web search. Rights belong to original owners

HQ Function

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.

Notable Features:

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.

Work Culture:

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.

HQ Significance:

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.

Values Reflected in HQ: Efficiency, agility, global reach, and a focus on digital-first operations are reflected by the choice of a flexible administrative base combined with a distributed team.

Location:

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.

Street Address:

228 Park Ave S, PMB 85251

City:

New York

State/Province:

New York

Country:

United States

Comet ML's Global Presence

Tel Aviv, Israel

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.

Global (Remote-First)

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.

Buying Intent Signals for Comet ML

Highperformr Signals uncover buying intent and give you clear insights to target the right accounts at the right time — helping your sales, marketing, and GTM teams close more deals, faster.

Notable news
Hiring actively
Corporate Finance
Corporate Finance
Corporate Finance
Corporate Finance
Corporate Finance
*Example signal, not calculated in real time

Executive Team of Comet ML

As of April 2025, Comet ML' leadership includes:

Gideon Mendels - Co-founder & CEO
Nimrod Lahav - Co-founder & CTO
Shay Cojocaru - VP Product
Kevin Dull - VP Sales
Matt Plotke - VP Marketing
Alyssa Columbus - Head of Open Source

Investors of Comet ML

Comet ML has been backed by several prominent investors over the years, including:

Scale Venture Partners
Insight Partners
Craft Ventures
Trilogy Equity Partners
Zeev Ventures
Array Ventures

Executive New Hires/Exits in the Last 12 Months

Hire0
Exits0

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.

Technology (Tech Stack) used by Comet ML

Discover the tools Comet ML uses. Highperformr reveals the technologies powering your target accounts — helping your sales, marketing, and GTM teams prioritize smarter and close faster.

Comet ML Email Formats and Examples

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

News and media

PR NewswireJuly 26, 2023

CometLLM: Comet Launches New LLMOps Solution to Help Enterprises Operationalize Large Language Models

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 WireJune 27, 2023

Comet Announces Integration with Snowflake to Streamline MLOps and Data Cloud Workflows

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 WireMay 10, 2023

Comet Adds Model Explainability and Enhanced Governance Tools to its MLOps Platform

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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