List of Comet Model Production Monitoring Customers
Comet
228 Park Ave S Suite 15549,
New York, 10003, NY,
United States
New York, 10003, NY,
United States
1 212-233-5470
Professional Services
80
$12M
Since 2010, our global team of researchers has been studying Comet Model Production Monitoring customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Comet Model Production Monitoring for AI Model Deployment and Monitoring from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Comet Model Production Monitoring for AI Model Deployment and Monitoring include: Uber, a United States based Transportation organisation with 31100 employees and revenues of $43.98 billion, NatWest, a United Kingdom based Banking and Financial Services organisation with 56600 employees and revenues of $18.01 billion, Etsy, a United States based Retail organisation with 2790 employees and revenues of $2.57 billion and many others.
Contact us if you need a completed and verified list of companies using Comet Model Production Monitoring, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Etsy | Retail | 2790 | $2.6B | United States | Comet | Comet Model Production Monitoring | AI Model Deployment and Monitoring | 2019 | n/a |
In 2019, Etsy implemented Comet Model Production Monitoring. The Comet Model Production Monitoring deployment, categorized as AI Model Deployment and Monitoring, was used at Etsy in the United States to centralize experiment tracking and to monitor model performance in production.
The implementation focused on experiment tracking and production monitoring capabilities, including run-level experiment metadata capture, production performance telemetry, and automated detection of model and data drift. The deployment included reproducibility-focused features such as model versioning and recorded training lineage to support repeatable model builds and investigation workflows.
Operational coverage centered on data science and machine learning engineering teams responsible for production models, with the platform serving as a centralized control plane for model observability and lifecycle artifacts. The implementation supported standardized model monitoring workflows across Etsy’s ML assets and integrated into existing model development and deployment practices within the organization.
Governance and process changes emphasized reproducible model delivery and proactive drift detection, enabling teams to surface production anomalies and to maintain audit information for experiments and production runs. The Comet Model Production Monitoring implementation helped teams detect data drift and improve model reproducibility, aligning model development and production monitoring practices under a consistent set of observability controls.
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NatWest | Banking and Financial Services | 56600 | $18.0B | United Kingdom | Comet | Comet Model Production Monitoring | AI Model Deployment and Monitoring | 2021 | n/a |
In 2021, NatWest deployed Comet Model Production Monitoring within its SageMaker-based ML stack, using the Comet platform to instrument model lifecycle activities. The implementation is categorized under AI Model Deployment and Monitoring and is focused on operationalizing models that support fraud detection and analysis of customer conversations in the United Kingdom.
Comet Model Production Monitoring was embedded to provide experiment tracking and production model observability, capturing experiment metadata, metrics, and model artifacts from SageMaker training and inference workflows. The deployment pattern aligns with an AWS SageMaker integration, enabling data science teams to link experiments run in SageMaker to production monitoring records for continuous visibility into model behavior.
Functional capabilities emphasized in the implementation include experiment tracking, production observability and metadata capture to support reproducibility and model investigation workflows. The system supports the fraud detection and customer conversation analytics use cases, and the operational scope centers on NatWest Group data science and analytics teams working on UK customer datasets.
Governance activity around the rollout concentrated on standardizing experiment logging and establishing monitoring workflows for production models, enabling teams to surface anomalies and investigate model performance with consistent observability data. The implementation improved experiment tracking and production model observability as described by the vendor, with Comet Model Production Monitoring positioned as the observability layer within NatWests SageMaker-based ML architecture.
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Uber | Transportation | 31100 | $44.0B | United States | Comet | Comet Model Production Monitoring | AI Model Deployment and Monitoring | 2019 | n/a |
In 2019, Uber deployed Comet Model Production Monitoring. Comet Model Production Monitoring is an AI Model Deployment and Monitoring application used at platform scale in the United States to tie training baselines to production monitoring and accelerate model troubleshooting.
Implementation scope centered on production model observability across Uber's platform, with deployment focused on instrumenting model inference paths and feeding production metrics back into monitoring pipelines. Implementation configured continuous baseline comparison between training data and production inputs, metric collectors for performance and data distribution, and alerting channels to flag deviations that require investigation.
Functional modules implemented included baseline comparison of training and production signals, continuous performance monitoring, data drift detection, and incident alerting to support faster triage. The Comet Model Production Monitoring deployment also incorporated model metadata tracking and version awareness to correlate production behavior with training experiments.
Integrations connected model training pipelines to production monitoring, and the monitoring layer was integrated with model serving telemetry and operational logging to create an end to end observability loop. Uber Comet Model Production Monitoring AI Model Deployment and Monitoring supports data science and MLOps teams responsible for model lifecycle, enabling teams to tie model development artifacts to live performance.
Governance and workflow changes focused on formalizing the handoff between training and production, embedding baseline checks into deployment gates, and creating troubleshooting playbooks triggered by monitoring alerts. The implementation produced faster model troubleshooting as an explicit outcome cited by the vendor, and it established a production observability foundation for ongoing model governance and operational monitoring.
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FAQ - APPS RUN THE WORLD Comet Model Production Monitoring Coverage
Comet Model Production Monitoring is a AI Model Deployment and Monitoring solution from Comet.
Companies worldwide use Comet Model Production Monitoring, from small firms to large enterprises across 21+ industries.
Organizations such as Uber, NatWest and Etsy are recorded users of
Comet Model Production Monitoring for AI Model Deployment and Monitoring.
Companies using Comet Model Production Monitoring are most concentrated in Transportation, Banking and Financial Services and Retail, with adoption spanning over 21 industries.
Companies using Comet Model Production Monitoring are most concentrated in United States and United Kingdom, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Comet Model Production Monitoring across Americas, EMEA, and APAC.
Companies using Comet Model Production Monitoring range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 0%, large organizations with 1,001-10,000 employees - 33.33%, and global enterprises with 10,000+ employees - 66.67%.
Customers of Comet Model Production Monitoring include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.
Contact APPS RUN THE WORLD to access the full verified Comet Model Production Monitoring customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of AI Model Deployment and Monitoring.