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About COMET

COMET is a cloud-based software platform from Prophecy International that supports incident management and service management for organizations. It provides features such as ticketing, reporting, and automation so teams can effectively track and resolve issues. COMET is designed to improve collaboration between support teams and customers by offering real-time insights and transparent communication. With its user-friendly interface, organizations can customize workflows to meet their specific needs. Key capabilities: ticketing system reporting tools automation features user permissions customizable dashboards Best for: IT support teams that need to manage incidents and services efficiently.

COMET Details

Vendor
Prophecy International
Year Launched
2017
Location
28 Park Ave S Suite 15549 New York, NY 10003-1502 United States2
Deployment
cloud
Training Options
documentation, videos
Countries Served
Available globally.
Languages
English, French, German, Italian, Spanish
Users
Artificial Intelligence Researchers, Assessment Coordinators, Assisted Living Managers, Billing and Provisioning Specialists, Deep Learning Engineers, K-12 Educators, Long Term Care Administrators, Machine Learning Developers, Nursing Home Supervisors, Real Estate Property Managers.
Industries Served
Technology, Healthcare, Finance, E-commerce, Automotive, Energy, Agriculture, Manufacturing, Retail
Tags
Machine Learning Experiment Management, Experiment Tracking, Model Versioning, Experiment Collaboration, Hyperparameter Optimization, Machine Learning Operations (MLOps)

COMET's In-App Market Place

Does COMET have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

1

Mini Apps

N/A

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

USD ($), EUR (€), GBP (£), AUD (A$), CAD (C$), JPY (¥), CNY (¥), INR (₹), MXN (Mex$), CHF (CHF), SEK (kr), KRW (₩), RUB (₽), TRY (₺), NZD (NZ$), ZAR (R), BRL (R$)

Pros & Cons

  • User-friendly interface for experiment tracking and visualization.
  • Simplifies experiment collaboration and knowledge sharing.
  • Promotes experiment reproducibility through version control.
  • Supports hyperparameter optimization for efficient model development.
  • Integrates seamlessly with popular ML frameworks.
  • Free plan has limitations on features and storage.
  • Limited model deployment functionality compared to dedicated MLOps platforms.
  • Advanced features like user management and priority support require paid plans.

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