Comet’s ML Platform
One Tool for All Your Model Governance and Auditing Needs
From tracking the entire training context of a model to monitoring its performance in production, Comet empowers teams to manage their models in and out of production.
The Comet Advantage
Why Choose Comet for Both Experiment Tracking & Model Production Monitoring?
Minimize Production Downtime
Be alerted immediately when model performance starts to degrade and have immediate access to the training history to speed up the model retraining process.
Save Money and Resources
No need to pay for or manage two separate solutions for experiment tracking and model monitoring. No wasted cycles trying to integrate two disjointed tools.
Build a Culture of Explainable AI
A single source of truth that equips teams with the all necessary information needed to explain model behavior and business value to stakeholders.
What Our Clients Say
Andy McMahon
Head of MLOps at Natwest
"Comet serves as the central system of record for over 180 data scientists and 400 data engineers, providing them with full visibility into the model development process and enabling seamless collaboration."
Anuradha U
Director Machine Learning at Shipt
“We rely on Comet to measure performance and upgrade models into production. It gives us a very robust process for model deployment and training”
Comet’s ML Platform
Full Lineage: From Training to Production
Preserve the Training Context with Comet EM
Log all the relevant information needed to reproduce a model including code, hyper-parameters, training metrics, & dataset versions. Debug and visualize your models with Comet’s Panels. Find the specific data samples your model is under-performing on.
Manage All Your Models with Comet MR
Store and Version your production-grade models in Comet’s Model Registry. Create formal approval processes for promoting models into production. Configure Webhooks to downstream updates to model deployment systems.
Monitor Model Performance with Comet MPM
Track data drift on input features, model outputs, and accuracy metrics. Detect Model Bias across different data sets. Set customized alerts for when model performance starts to degrade.
Organize Your Prompt Engineering with CometLLM
Log and Visualize your LLM Prompts, Chains and Responses. Score which prompting strategies are working the best and track token usage to monitor your costs.
Comet Seamlessly Integrates with Your ML Tool Stack
Pytorch
Scikit-learn
Huggingface
XGBoost
Tensorflow
Vertex AI
Sagemaker
Metaflow
Frequently Asked Questions
Yes, Comet is completely flexible and can be easily deployed to fit your infrastructure requirements.
Yes, Comet is SOC 2 Type 2 Compliant and ISO 27001 Certified.
Nope, Comet works as a tracking layer over tools like Sagemaker, Azure, and Vertex. We are completely agnostic to how you train and deploy your models.
Comet offers its customers a dedicated technical support team that has a wealth of experience supporting data scientists and platforms teams.
One Tool For All Your ML Needs
Discover Comet’s advanced capabilities and state-of-the-art security in a free demo.
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