Dataiku Govern vs ModelOp
Side-by-side comparison of framework coverage, pricing, capabilities, and target customers. Last verified recently.
https://aicompliancevendors.com/compare/dataiku-govern-vs-modelopDataiku Govern
Track and manage data and AI initiatives across the organization in a single place.
Dataiku Govern is the governance module of the Dataiku AI platform, providing centralized model registry, LLM registry, bundle registry, and workflow-based sign-off processes for AI project lifecycle management. It enables organizations to qualify AI projects by risk and value, enforce approval gates before model deployment, document traceability, and prepare for EU AI Act compliance with pre-built solution templates. Govern integrates natively with Dataiku's Design and Deployer nodes to provide end-to-end oversight without requiring separate tooling.
ModelOp
Enterprise AI lifecycle management and governance platform
ModelOp provides a centralized platform for managing the full AI lifecycle, from intake to retirement, for ML, GenAI, Agentic AI, and vendor models. It offers a single system of record for AI inventory, automates policy enforcement and workflows, enables continuous monitoring for risks like bias and drift, and generates audit-ready reports. Targeted at complex regulated enterprises, it integrates with existing systems to accelerate AI deployment while ensuring compliance and control across teams. Distinct from MLOps tools or GRC systems, ModelOp orchestrates governance end-to-end, supporting internal and third-party AI at scale.
What the data shows
We haven't published an editorial verdict on this pair yet. The comparison below is built from public vendor materials and our taxonomy — no editorialized ranking.
- Shared framework coverage: EU AI Act
- Only ModelOp covers: ISO/IEC 42001, NIST AI RMF
- Shared capabilities: 5 of 10 listed.
Want our editorial take? Email the editors or read our methodology.
At a glance
| Attribute | Dataiku Govern | ModelOp |
|---|---|---|
| Founded | 2013 | 2018 |
| Headquarters | New York, USA | Chicago, United States |
| Employees | 1000+ | 11-50 |
| Funding | $1.04B total; most recent: $200M Series F led by Wellington Management (2022) at $3.7B valuation | Series B, $10M, 2024, led by Baird Capital |
| Pricing | Contact for pricing | No public pricing listed; contact sales for enterprise quotes. |
| Website | Visit site | Visit site |
Framework coverage
| Framework | Dataiku Govern | ModelOp |
|---|---|---|
| EU AI Act | Partial | Full |
| ISO/IEC 42001 | — | Full |
| NIST AI RMF | — | Full |
Capabilities
| Capability | Dataiku Govern | ModelOp |
|---|---|---|
| AI Model Inventory | ✓ | ✓ |
| Audit Evidence Collection | ✓ | ✓ |
| Audit Logging | ✓ | — |
| Bias & Fairness Testing | ✓ | ✓ |
| Data Lineage | ✓ | — |
| Explainability | — | ✓ |
| LLM Evaluation | ✓ | — |
| Model Monitoring | — | ✓ |
| Policy Management | ✓ | ✓ |
| Risk Assessment Workflow | ✓ | ✓ |
Industries served
Dataiku Govern
- Financial Services
- Healthcare
- Insurance
- Manufacturing
- Telecommunications
- Retail & E-commerce
- Defense & National Security
- Energy & Utilities
ModelOp
- Financial Services
- Healthcare
- Insurance
- Government & Public Sector
- Retail & E-commerce
- Defense & National Security
Integrations
Dataiku Govern
- None listed
ModelOp
- AWS SageMaker
- Azure ML
- Google Vertex AI
- Databricks
- Snowflake
- MLflow
- Jira
- ServiceNow
- OpenAI API
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Editorial independence: This comparison is free and was not paid for by either vendor. See our methodology.