Domino Model Monitor
What Domino Model Monitor is
Domino Model Monitor is a paid platform for evaluating production machine-learning models and alerting teams when performance or data conditions deteriorate enough for review. It monitors data drift, model quality, bias, data quality, and performance metrics from a central dashboard showing model status, summaries, alerts, and monitoring results. Automated prediction-data pipelines and metric generation support ongoing oversight. When remediation is needed, users can recreate a model’s development environment, retrain with production data, and redeploy it. Models built in Python, R, SAS, MATLAB, TensorFlow, or DataRobot can be registered. The Elastic Monitoring Engine is designed to scale and ingest data from Amazon S3, Azure Blob Storage, Azure Data Lake, Google Cloud Storage, and HDFS. Domino supports web, API, and self-hosted deployment, including cloud VPCs, on-premises systems, and air-gapped environments. Pricing is available on request, with no free plan.
Who it suits
Domino positions this platform for large AI-driven enterprises and regulated industries running mission-critical AI. It suits teams needing model registries, experiment tracking, pipeline orchestration, serving, versioning, and managed compute.
What it does well
- Tracks data drift and model quality
- Central dashboard with customized alerts
- Supports Python, R, SAS, MATLAB, TensorFlow
- Self-hosted and air-gapped deployment options
- Includes model registry and experiment tracking
What to know first
- Paid service with pricing on request
- No free plan
- Support terms vary by plan
- Designed primarily for large enterprises
Limits
Premium allows up to two deployments, one production and one non-production, and up to two upgrades per year. Domino Cloud includes one deployment. Enterprise allows up to two deployments and two upgrades per year.
Plans
| Plan | Billed and limits | Price |
|---|---|---|
| Premium | 5 service accounts · 5 admin licenses · Unlimited consumer licenses · Up to 2 deployments (1 prod, 1 non-prod) · Up to 2 upgrades per year · Premium support (2 business days) | On request |
| Domino Cloud | 5 service accounts · 5 admin licenses · Unlimited consumer licenses · 1 deployment · Premium support (2 business days) · Continuous upgrades · Nexus Data Planes deployment included | On request |
| Enterprise | 10 service accounts · 10 admin licenses · Unlimited consumer licenses · Up to 2 deployments · Up to 2 upgrades per year · Enterprise support (1 business day) · Designated customer advocate · Proactive monitoring | On request |
As domino.ai lists them, read 1 Oct 2026. The maker's own page has the final word.
Getting started
- Visit https://domino.ai/platform/model-monitoring.
- Choose a plan: Premium, Domino Cloud or Enterprise; pricing is available on request.
- Select web, API or self-hosted deployment, including a supported cloud VPC or on-premises environment.
- Register a model built with Python, R, SAS, MATLAB, TensorFlow or DataRobot for monitoring.
- Configure monitoring and alerts, then use production data to retrain and redeploy when needed.
Verdict
Domino Model Monitor combines monitoring, alerting, remediation workflows, and deployment choices for organizations managing production models. Its broad framework support and regulated-environment options are useful, but buyers must request pricing and select a support tier.
Questions
Is there a free plan?
No. Domino Model Monitor is a paid product.
Where can it be deployed?
It supports web, API and self-hosted platforms. Self-managed deployment is available in AWS, Azure or GCP VPCs, on-premises and secure air-gapped environments.
Which model frameworks can be monitored?
Models built in Python, R, SAS, MATLAB, TensorFlow or DataRobot can be registered.
What does each plan include?
Premium has five service accounts, five admin licenses, unlimited consumer licenses, up to two deployments and up to two upgrades per year. Domino Cloud has five service accounts, five admin licenses, unlimited consumer licenses, one deployment, continuous upgrades and Nexus Data Planes deployment. Enterprise has ten service accounts, ten admin licenses, unlimited consumer licenses, up to two deployments and two upgrades per year.
What security certifications and compliance support are stated?
Domino states certifications for ISO 27001, ISO 9001, SOC 2, HIPAA and GDPR, and support for 21 CFR Part 11 and Annex 11 compliance.
Facts from Domino Model Monitor's own pages
- Automated pipelines
- Domino provides simplified deployment tools, automated prediction data pipelines, and automatic generation of monitoring metrics. · domino.ai, 1 Oct 2026
- Central dashboard
- Users can view model status, monitoring summaries, customized alerts, data drift, and model quality from one dashboard. · domino.ai, 1 Oct 2026
- Deployment environments
- Domino supports self-managed deployment in a VPC on AWS, Azure, GCP, or on-premises, including secure air-gapped environments. · domino.ai, 1 Oct 2026
- Drift monitoring
- The monitoring platform tracks data drift and model quality degradation with integrated monitoring and alerts. · domino.ai, 1 Oct 2026
- Enterprise security
- Domino describes single-tenant isolation, secure development testing, vulnerability scanning, third-party penetration testing, and SIEM-integrated intrusion detection. · domino.ai, 1 Oct 2026
- Founded
- 2013 · domino.ai, 28 Sept 2026
- Framework support
- Models built in Python, R, SAS, MATLAB, TensorFlow, or DataRobot can be registered for monitoring. · domino.ai, 1 Oct 2026
- Headquarters
- San Francisco, California, United States · domino.ai, 28 Sept 2026
- Integrations
- Domino's partner ecosystem includes Anaconda, Snowflake, Palantir, RStudio, SageMaker, MathWorks, Stata, Collibra, DataRobot, H2O.ai, Okera, Teradata, Trifacta, and Pinnacle 21. · domino.ai, 1 Oct 2026
- Purpose
- Domino Model Monitor automates model evaluation and alerts when production models degrade enough to require expert review. · domino.ai, 1 Oct 2026
- Remediation
- Users can recreate a production model's development environment, retrain with production data, and redeploy a new version. · domino.ai, 1 Oct 2026
- Scale and storage
- Domino's Elastic Monitoring Engine is designed to scale monitoring capacity and ingest data from Amazon S3 and Hadoop-compatible file systems including Azure Blob Storage, Azure Data Lake, Google Cloud Storage, and HDFS. · domino.ai, 1 Oct 2026
- Security certifications
- Domino states that it is certified for ISO 27001, ISO 9001, SOC 2, HIPAA, and GDPR, and supports 21 CFR Part 11 and Annex 11 compliance. · domino.ai, 1 Oct 2026
- Snowflake monitoring
- Domino can automatically configure Snowflake-deployed models for drift and model quality analysis with prediction data capture pipelines and ground-truth datasets. · domino.ai, 1 Oct 2026
- Support
- The Cloud and Premium plans include premium support with a two-business-day non-urgent SLA, while Enterprise includes one-business-day non-urgent support. · domino.ai, 1 Oct 2026
- Target customers
- Domino positions its platform for large AI-driven enterprises and highly regulated industries performing mission-critical AI work. · domino.ai, 1 Oct 2026
Where Domino Model Monitor stands on Freedom251
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