Project Templates
Share best practices and standards
Enforce best practices by incorporating your policies into every project and model with standard checklists, evaluation tools, and codified conventions.
Make AI responsible and compliant by default
Embed responsible policies into every workflow and model.PRODUCT PREVIEW
Operationalize responsible AI with Domino AI Governance
Implement, enforce and monitor adherence with all your Responsible AI policies — internal, external, or legal.
Set policies & validate adherence
Choose template policies or create custom policies and automated scripts to validate policy adherence.
Automatically capture AI artifacts
Automatically capture AI evidence for faster reviews and standardization.
Get full context to accelerate reviews
Give reviewers a centralized view of projects, policies and the context needed to accelerate approvals.
Governance capabilities
Domino makes AI safer & compliant
Make AI audit-ready
All models are audit-ready with guaranteed reproducibility and embedded audit trails that record all lineage (code, data, environments, results, versions).
Enforce AI safety policies
Enforce AI policies with out-of-the-box templates that automate workflows for building and operating models safely and reliably.
Maintain consistent standards
Integrated model review, staging, testing, and approval workflows help embed and enforce requirements for every model, every time.
Ensure fairness & accuracy
Model monitoring and remediation continually score model accuracy and detect drift. These mechanisms help prevent unfair and biased models from entering production environments.
Guaranteed reproducibility
Automatic lineage tracking for compliance
Domino tracks all model lineage by automatically versioning code, data, environments, and results for guaranteed reproducibility and compliance. Domino can support GXP-compliant and non-GXP on a single platform.
Model Cards
Review models for deployment
Domino improves transparency by automatically recording models' purposes, lineage, downstream usage, performance, limitations, and biases. This allows teams to evaluate whether models are ready for production, and mitigate risks.
Model Registry
A unified view of all your models
View all of your models with their status, metadata, and evolution (e.g., code, data, parameters, environments, results, versions) for auditability and tracking. Never lose track of your models, whether developed in Domino or not.
Model Staging
Test and evaluate models
Verify that models are tested and evaluated in isolated non-production environments and view all models and their status in a single pane of glass.
Model Monitoring
Track model quality and relevance
Score model accuracy and relevance, detect model drift, automatically capture predictions, and incorporate human validation so models perform as expected for stakeholders.
Audit Logging
View logs of all user actions
Domino automatically records all user actions, data, model changes, and system events — without user intervention — so you can reconstruct everything for compliance.
Get in touch with our product expert to learn more about Domino's vision for responsible AI
Resources
whitepaper
Responsible generative AI
Walk away with toolsets, processes, and next steps for mitigating risks.
E-book
Model monitoring best practices
Understand data drift and how to identify models that are degrading.
E-book
Balancing innovation and governance in FinServ
Model faster and reduce risk on a unified analytics and data science platform.