{"id":4314,"date":"2022-10-24T06:07:35","date_gmt":"2022-10-24T14:07:35","guid":{"rendered":"https:\/\/live-cometml.pantheonsite.io\/?post_type=press_release&p=4314"},"modified":"2022-10-24T06:07:35","modified_gmt":"2022-10-24T14:07:35","slug":"comet-achieves-record-growth-amid-strong-customer-and-partner-momentum","status":"publish","type":"press_release","link":"https:\/\/www.comet.com\/site\/about-us\/news\/press-releases\/comet-achieves-record-growth-amid-strong-customer-and-partner-momentum\/","title":{"rendered":"Comet Achieves Record Growth Amid Strong Customer and Partner Momentum"},"content":{"rendered":"

NEW YORK\u2013 October 25, 2022\u2013<\/strong> Comet<\/a>, provider of the leading MLOps platform for machine learning (ML) teams from startup to enterprise, today announced rapid growth and strong customer momentum. Comet\u2019s advancements help companies streamline their AI model development and deployment to achieve even greater business value from machine learning. The company is on pace to achieve record annual recurring revenue (ARR) by end-of-year, adding new customers including Shopify, Affirm and CareRev.<\/p>\n

As companies navigate the fragmented, constantly evolving AI ecosystem, they are increasingly turning to the Comet platform to help them maximize the value of these investments. The platform\u2019s ability to integrate with a company’s existing infrastructure and tools makes it well suited for the changing AI landscape. Data scientists can manage, visualize and optimize models from early experimentation all the way through production. Comet uniquely offers both experiment tracking and model production monitoring, and its platform can run on any infrastructure, whether it is cloud, on-premises or virtual private cloud (VPC).<\/p>\n

“With Comet, we increased visibility and accuracy in our model comparisons through traceable changes and reproducible results,\u201d said Alec Karfonta, Senior Machine Learning Engineer at CareRev.<\/p>\n

Comet\u2019s approach has not only won over an outstanding roster of customers, the company was also recently recognized as a Gartner Cool Vendor<\/a> and a CRN Emerging Vendor<\/a>.<\/p>\n

Advancing ML and Computer Vision to Achieve Operational Efficiency at Scale<\/strong><\/p>\n

Continuing to expand its ecosystem and interoperability, Comet has added a number of new partnerships and integrations. These include a new integration with Metaflow<\/a>, a human-friendly Python library, battle-hardened at Netflix, that makes it straightforward to develop, deploy and operate various kinds of data-intensive workflows. The integration allows Metaflow users to benefit from Comet\u2019s best-of-breed experiment tracking capabilities.<\/p>\n

“We’re excited to see this integration come to fruition as it’s highly beneficial to our shared customers that want to use Metaflow and Comet together,\u201d said Ville Tuulos of Outerbounds<\/a>. \u201cWhen tools work well together, it enables businesses to maximize their ML investments.\u201d<\/p>\n

Additionally, Comet provides enhanced capabilities for computer vision. Comet now integrates with YOLOv5<\/a>, the most popular and easy-to-use object detection library available, and Anomalib<\/a>, a deep learning library that helps build world-class anomaly detection models ready for the next age of manufacturing with Industry 4.0. Comet also introduced a new product feature, Image Panel<\/a>, which makes it possible to compare model visualizations across multiple experiments.<\/p>\n

These additions build on recent integrations<\/a> with \u200b\u200bRay<\/a>, Kubeflow<\/a>, and Google Vertex AI<\/a>, further underscoring Comet\u2019s commitment to work with the most popular, innovative and user-friendly tools for ML practitioners.<\/p>\n

\u201cAs the machine learning landscape further evolves, everyone wants interoperability between the different tools they use,\u201d said Gideon Mendels, CEO and co-founder of Comet. \u201cThe better ML technologies work together, the easier it is for people to achieve business value out of AI. Comet is leading the industry in integrations because we believe partnership is imperative to deliver the greatest value for the ML community and to move ML forward.\u201d<\/p>\n

Breaking Organizational Silos<\/strong><\/p>\n

In addition to forging new partnerships and integrations, Comet recently introduced Organizations<\/a>, a new product feature that allows users to be part of multiple organizations and easily navigate between them. For example, a user can be part of their professional company organization while also working with their friend as part of another organization. This helps teams coordinate and communicate better throughout their processes. Comet also updated its Admin Dashboard to further streamline administration and organizational efficiency. These changes are designed to enhance the practitioner experience for even greater engagement with their projects.<\/p>\n

Prioritizing Customer Needs<\/strong><\/p>\n

On top of ongoing product innovation, Comet recently completed the rigorous SOC-2 certification process. In doing so, customers can feel confident that Comet prioritizes data security and compliance best practices. While its platform has always provided a safe space for customers\u2019 most sensitive work, SOC-2 certification lends additional validation.<\/p>\n

Comet also rolled out a new usage-based pricing structure that responds to the wide variety of customer needs. The new model is simple to navigate and less expensive for teams to get started. This enables even more organizations to discover Comet. It also grows with organizations as they continue to scale their use of ML to improve their business outcomes.<\/p>\n

Expanding to Do Even More<\/strong><\/p>\n

With all of Comet\u2019s positive momentum, the company continues to grow its global team, more than doubling headcount year-over-year. Comet continues to expand across all departments<\/a> to meet the global demand for its platform, with employees based in 11 countries across 4 continents.<\/p>\n

Learn more about all that\u2019s underway at Comet by going to www.comet.com<\/a>.<\/p>\n

About Comet<\/strong><\/p>\n

Comet provides an MLOps platform that data scientists and machine learning teams use to manage, optimize, and accelerate the development process across the entire ML lifecycle, from training runs to monitoring models in production. Comet\u2019s platform is trusted by over 150 enterprise customers including Affirm, Cepsa, Etsy, Uber and Zappos. Individuals and academic teams use Comet\u2019s platform to advance research in their fields of study. Founded in 2017, Comet is headquartered in New York, NY with a remote workforce in nine countries on four continents. Comet is free to individuals and academic teams. Startup, team, and enterprise licensing is also available. To learn more, visit www.comet.com<\/a> or join our community at heartbeat.comet.ml<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"

NEW YORK\u2013 October 25, 2022\u2013 Comet, provider of the leading MLOps platform for machine learning (ML) teams from startup to enterprise, today announced rapid growth and strong customer momentum. Comet\u2019s advancements help companies streamline their AI model development and deployment to achieve even greater business value from machine learning. The company is on pace to […]<\/p>\n","protected":false},"author":1,"featured_media":1448,"template":"","meta":{"customer_name":"","customer_description":"","customer_industry":"","customer_technologies":"","customer_logo":"","subtitle":"SOC2 \u2013 Type II certification establishes Comet\u2019s excellence in compliance practices and data security ","footnotes":""},"coauthors":[],"class_list":["post-4314","press_release","type-press_release","status-publish","has-post-thumbnail","hentry"],"yoast_head":"\nComet Achieves Record Growth Amid Strong Customer and Partner Momentum<\/title>\n<meta name=\"description\" content=\"Comet\u2019s advancements help companies streamline their AI model development and deployment to achieve even greater business value from machine learning.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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