Comet, provider of the leading MLOps platform for machine learning (ML) teams from startup to enterprise, announced rapid growth and strong customer momentum. Comet’s 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.
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“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,” said Gideon Mendels, CEO and co-founder of Comet.
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’s 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).
“With Comet, we increased visibility and accuracy in our model comparisons through traceable changes and reproducible results,” said Alec Karfonta, Senior Machine Learning Engineer at CareRev.
Comet’s approach has not only won over an outstanding roster of customers, the company was also recently recognized as a Gartner Cool Vendor and a CRN Emerging Vendor.
Advancing ML and Computer Vision to Achieve Operational Efficiency at Scale
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 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’s best-of-breed experiment tracking capabilities.
“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,” said Ville Tuulos of Outerbounds. “When tools work well together, it enables businesses to maximize their ML investments.”
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Additionally, Comet provides enhanced capabilities for computer vision. Comet now integrates with YOLOv5, the most popular and easy-to-use object detection library available, and Anomalib, 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, which makes it possible to compare model visualizations across multiple experiments.
These additions build on recent integrations with Ray, Kubeflow, and Google Vertex AI, further underscoring Comet’s commitment to work with the most popular, innovative and user-friendly tools for ML practitioners.
“As the machine learning landscape further evolves, everyone wants interoperability between the different tools they use,” said Gideon Mendels, CEO and co-founder of Comet. “The 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.”
Breaking Organizational Silos
In addition to forging new partnerships and integrations, Comet recently introduced Organizations, 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.
Prioritizing Customer Needs
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’ most sensitive work, SOC-2 certification lends additional validation.
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.
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