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Software Status:Active

About Mona

Mona is an ML monitoring and observability platform that detects anomalies in high dimensional data. It correlates related issues to reduce alert noise, provides dashboards for drift and performance analysis, and supports retrospective investigations. The platform integrates with common ML stacks and delivers alerts through collaboration tools, while offering flexible deployment options including self hosted environments. Key capabilities: Anomaly detection and root cause analysis Drift and model performance dashboards Alert management and integrations Retrospective analysis for past incidents Support for cloud and self hosted deployments Best for: Teams operating machine learning in production.

Mona Details

Vendor
Mona
Year Launched
2018
Location
Mountain View, California, USA
Deployment
cloud
Training Options
documentation, videos, live online
Countries Served
All Countries
Languages
English
Users
AI-driven companies, Enterprise companies, Mid-size companies, Digital transformation companies, Machine learning engineers, Data scientists, Data engineers, MLOps
Industries Served
Finance (e.g., Fraud Detection), Defense (e.g., Israeli Defense Forces), Customer Service (e.g., Hyro, Gong), Healthcare (e.g., K Health), Telecommunications, E-commerce, Cybersecurity
Tags
Artificial Intelligence, Mona

Mona's In-App Market Place

Does Mona have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

0

Mini Apps

Pricing Options

Free trial
Free version
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Accepted Payment Currencies

USD ($), EUR (€), GBP (£), JPY (¥), AUD (A$), CAD (C$), CNY (¥), CHF (CHF), SEK (kr), INR (₹), RUB (₽), MXN (Mex$), SGD (S$), HKD (HK$), NZD (NZ$), KRW (₩)

Pros & Cons

  • Comprehensive Anomaly Detection: Deep insights into model performance and anomalies.
  • Significant Noise Reduction: Up to 80% reduction in monitoring alerts.
  • Flexible Deployment: Supports both SaaS and on-premise installations.
  • Enterprise-Grade Security: Suitable for sensitive environments, including air-gapped systems.
  • Broad Compatibility: Integrates with a wide range of AI/ML stacks and supports multiple industries.
  • Pricing Transparency: Pricing details are not publicly available, which may complicate the evaluation process.
  • Limited Language Support: Primarily available in English, which may limit non-English speaking users.
  • Potential Complexity: Advanced features might require technical expertise to configure and manage.
  • Marketplace Limitations: Absence of a dedicated in-app marketplace for third-party extensions.

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