Tech riderRev. 1 Oct 2026

Domino Model Monitor

Ch 356.3of 40ML Experiment Tracking Software

1Runs onAPI, self-hosted, Web
2Drift monitoringYes
3Model performance metricsYes
4Data quality checksYes
5Bias monitoringYes
6Deployment optionshybrid

6 lines stated Written from the maker's own pages: domino.ai

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Overview

Domino Model Monitor evaluates production machine-learning models and alerts when degradation warrants expert review. It monitors data drift and model quality from a central dashboard showing status, summaries, customized alerts, and monitoring results. Automated prediction-data pipelines and metric generation support ongoing checks. When remediation is needed, teams can recreate a model’s development environment, retrain with production data, and redeploy a version. 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 and Hadoop-compatible storage, including Azure Blob Storage, Azure Data Lake, Google Cloud Storage, and HDFS. Domino supports API, web, and self-hosted use, including cloud VPCs, on-premises systems, and air-gapped environments. Pricing is on request, with Premium, Domino Cloud, and Enterprise plans listed.

Who it is for

Domino positions this platform for large AI-driven enterprises and regulated industries running mission-critical AI. It fits teams needing monitored production models and managed remediation workflows.

What is good

Tracks data drift and model quality
Central dashboard with customized alerts
Supports multiple model frameworks
Self-managed and air-gapped deployment options
Includes registry and experiment tracking

What to know first

Pricing is available only on request
Enterprise-oriented deployment and licensing
Support response varies by plan

Verdict

Domino Model Monitor combines drift detection, quality monitoring, alerting, and retraining workflows across cloud, self-hosted, and air-gapped deployments. Its plan structure and support terms are aimed at larger organizations.

Domino Model Monitor plans and pricing

All plans

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) domino.ai · 1 Oct 2026

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 domino.ai · 1 Oct 2026

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 domino.ai · 1 Oct 2026

Compared on ML experiment tracking software

Free plan: Nodomino.ai
Drift monitoring: Yesdomino.ai
Model performance metrics: Yesdomino.ai
Data quality checks: Yesdomino.ai
Bias monitoring: Yesdomino.ai
Deployment options: hybriddomino.ai

Facts

Purpose: Domino Model Monitor automates model evaluation and alerts when production models degrade enough to require expert review.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
Automated pipelines: Domino provides simplified deployment tools, automated prediction data pipelines, and automatic generation of monitoring metrics.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
Framework support: Models built in Python, R, SAS, MATLAB, TensorFlow, or DataRobot can be registered for monitoring.domino.ai · 1 Oct 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
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
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
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
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
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