Mona
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What is Mona?
Mona is an intelligent AI and machine learning monitoring platform that provides complete visibility into the performance of data, models, and processes in production environments. The platform enables data scientists, machine learning engineers, and MLOps teams to proactively monitor AI systems, detect anomalies like data drift and biases, and resolve performance issues before they impact customers or business outcomes.
Key features include automated anomaly detection with built-in and custom anomaly detectors, user-defined segmentations for granular analysis across data segments, Common Thread Analysis™ for root cause identification that reduces alert fatigue, multi-channel alerting via email, Slack, Teams, and PagerDuty, a powerful schema configuration language for defining data abstraction, programmatic API access with Mona SDK, A/B testing capabilities for model versions, and advanced data exploration dashboards. The platform supports flexible data collection from training pipelines, inference serving environments, human labeling systems, and anywhere else in the AI environment.
Mona is designed for data-oriented teams in high-stakes industries including finance, defense, technology, healthcare, e-commerce, and manufacturing. It serves AI-driven companies, enterprise organizations, mid-size businesses, and digital transformation teams. The platform is suitable for monitoring traditional machine learning, LLMs, NLU, NLP, generative AI, chatbots, computer vision, speech, audio, and robotic process automations (RPA). Notable customers include Glovo, Fiverr, Gong.io, Cape Analytics, and K-Health.
The platform is available in both SaaS and self-hosted deployment options, including on-premise and air-gapped environments for secure defense and government use. Mona combines open-source technology with proprietary IP to handle large-scale data ingestion efficiently and works seamlessly with any tech stack or model type including Azure OpenAI API, LangChain, streaming, and asynchronous usage support.
Mona pricing
Pricing model: Freemium
Mona offers three pricing tiers: FREE at $0/mo, STARTER at $100/mo, and ENTERPRISE with custom pricing. The FREE tier includes dozens of built-in metrics, 5 user-defined segmentations, 3 built-in anomaly detectors, email-based alerts, and access to Mona SDK + API, Azure OpenAI API support, LangChain support, streaming support, asynchronous usage support, system health dashboard, advanced data exploration, unlimited users, custom alerting rules, programmatic API access, and issue tracking + team discussion. The STARTER tier adds 10 custom metrics (dozens + 10 total), 20 user-defined segmentations, up to 10 built-in anomaly detectors plus custom ones, and multi-channel alerts via Slack, Teams, PagerDuty, Google Chat and more. The ENTERPRISE tier includes hundreds of built-in metrics plus custom, dozens of user-defined segmentations, dozens of built-in anomaly detectors plus custom, any custom alerting integration, and private support channel with a designated Customer Success Manager (CSM).
Mona pros
- Free tier available with dozens of built-in metrics
- Supports unlimited users across all plans including free
- Works with any tech stack and model type without disruption
- Available as SaaS or self-hosted including air-gapped deployment
- Common Thread Analysis™ reduces alert fatigue with root cause grouping
- Multi-channel alerting via email, Slack, Teams, PagerDuty, Google Chat
- Programmatic API access and Mona SDK available on all plans
- Supports Azure OpenAI API, LangChain, streaming, and asynchronous usage
- Advanced data exploration and system health dashboard included
- User-defined segmentations for granular performance analysis
- Built-in anomaly detectors plus custom detector support
- A/B testing capabilities for model versions in staging and production
- Low-code/no-code tools for configuring monitoring datasets
- Issue tracking and team discussion features built-in
- Webhook integrations for automated downstream workflow triggers
- Smart sampling optimizes monitoring while balancing depth and resources
- Enterprise-grade monitoring suitable for high-stakes environments
- Proactively detects issues weeks or months before they surface
Mona cons
- Pricing information not publicly disclosed for Enterprise plan
- Free tier limited to only 5 user-defined segmentations
- Free tier has only 3 built-in anomaly detectors
- Free tier alerts are email-based only, no Slack/Teams integration
- Starter plan at $100/mo may be expensive for small teams
- Custom alerting rules only available on Starter and Enterprise plans
- Designated CSM and private support channel only on Enterprise plan
- Free tier limited to dozens of built-in metrics vs hundreds on Enterprise
Frequently asked questions about Mona
What is Mona and what does it do?
Mona is an intelligent AI and machine learning monitoring platform that provides complete visibility into the performance of data, models, and processes. It enables teams to automatically collect and transform ML data and business indicators to track performance metrics in robust dashboards, be proactively alerted on anomalous behavior like drifts and biases, conduct model A/B tests, and resolve performance issues quickly with explanations on why models are underperforming.
Who should use Mona?
Mona is designed for data scientists, machine learning engineers, MLOps teams, data engineers, and model owners in AI-driven companies, enterprise companies, mid-size companies, and digital transformation companies. It is specifically built for data-oriented teams in high-stakes industries like finance, defense, technology, healthcare, e-commerce, and manufacturing who need to continuously adapt and optimize their production AI environments.
What types of AI models can Mona monitor?
Mona is a highly extensible solution suitable for traditional machine learning, LLMs, NLU, NLP, generative AI, chatbots, computer vision, speech, audio, and robotic process automations (RPA). It can monitor any AI, ML, predictive analytics, financial models, and other data-driven systems regardless of technology stack or model type.
How does Mona detect data drift and anomalies?
Mona includes a library of flexible anomaly detectors that can be configured to setup new tests to identify anomalies. It provides built-in anomaly detectors (3 on free, up to 10 + custom on starter, dozens + custom on enterprise) and allows custom anomaly detectors. The platform continuously monitors across granular segments and proactively detects drifts, outliers, and unexpected behavior in inputs and predictions.
What alerting channels does Mona support?
Mona supports multi-channel alerting including email (free tier), Slack, Microsoft Teams, PagerDuty, Google Chat, and more (starter tier), and any custom alerting integration (enterprise tier). Users can route alerts to the right persons at the right time and frequency, and set up automated downstream workflow triggers via webhooks.
Can Mona be deployed on-premise or in air-gapped environments?
Yes, Mona is available in both SaaS and self-hosted deployment options, including on-premise deployment and air-gapped environments. This makes it suitable for secure defense and government environments that require maximum security and compliance while monitoring mission-critical AI systems.
What is Common Thread Analysis™?
Common Thread Analysis™ is Mona's proprietary feature that identifies top-level issues requiring attention by grouping related alerts. It reduces alert fatigue by cutting noise (for example, reducing 5 alerts to 1) and provides quicker resolutions with rich contextual information including possible explanations and related symptoms of issues, enabling better resource allocation.
Does Mona require code to set up monitoring?
Mona provides low-code/no-code tools for configuring monitoring datasets, making it accessible without extensive coding. However, it also offers programmatic API access and Mona SDK for users who prefer code-based integration. The platform includes a powerful schema configuration language for defining how data is abstracted, segmented, and tracked.
What integrations does Mona support?
Mona supports Azure OpenAI API, LangChain, streaming, asynchronous usage, and integrates seamlessly with any tech stack. It offers webhook integrations for automated downstream workflow triggers like ML model retraining, and integrates with tools like AWS Config, Amazon SageMaker, Microsoft Azure, New Relic, Snowflake, TensorFlow, DataRobot, AWS CloudFormation, and AWS CloudTrail.
How does Mona handle large-scale data ingestion?
Mona combines cutting-edge open-source technology with proprietary IP to efficiently handle large-scale data ingestion. The platform optimizes monitoring with smart sampling that balances depth and resources while giving users full control over analysis frequency and detail. It can ingest any JSON serializable data from metadata, model inputs, feature vectors, logged events, inferences, and more.