Credo AI vs ModelOp
Side-by-side comparison of framework coverage, pricing, capabilities, and target customers. Last verified April 2026.
https://aicompliancevendors.com/compare/credo-ai-vs-modelopCredo AI
Context-driven AI governance for regulated enterprises.
Credo AI is an AI governance platform founded in 2020 and headquartered in San Francisco. The platform helps enterprises operationalize AI governance through a centralized model registry, guided impact assessments, policy packs mapped to regulations like the EU AI Act and NIST AI RMF, and evidence collection for audit. Credo AI has been cited as an NIST AI RMF contributor and has raised approximately $41.3M total, with a $21M round in July 2024 at a reported $101M post-money valuation.
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, ISO/IEC 42001, NIST AI RMF
- Only Credo AI covers: Colorado AI Act, NYC LL 144
- Shared capabilities: 7 of 10 listed.
Want our editorial take? Email the editors or read our methodology.
At a glance
| Attribute | Credo AI | ModelOp |
|---|---|---|
| Founded | 2020 | 2018 |
| Headquarters | San Francisco, United States | Chicago, United States |
| Employees | 51-200 | 11-50 |
| Funding | $41.3M total (Series B, July 2024) | Series B, $10M, 2024, led by Baird Capital |
| Pricing | Enterprise-only; typical engagements start in the mid-five figures annually. | No public pricing listed; contact sales for enterprise quotes. |
| Website | Visit site | Visit site |
Framework coverage
| Framework | Credo AI | ModelOp |
|---|---|---|
| Colorado AI Act | Full | — |
| EU AI Act | Full | Full |
| ISO/IEC 42001 | Full | Full |
| NIST AI RMF | Full | Full |
| NYC LL 144 | Full | — |
Capabilities
| Capability | Credo AI | ModelOp |
|---|---|---|
| AI Model Inventory | ✓ | ✓ |
| Audit Evidence Collection | ✓ | ✓ |
| Bias & Fairness Testing | ✓ | ✓ |
| Explainability | ✓ | ✓ |
| LLM Red Teaming | ✓ | — |
| Model Monitoring | ✓ | ✓ |
| Policy Management | ✓ | ✓ |
| Regulatory Intelligence | ✓ | — |
| Risk Assessment Workflow | ✓ | ✓ |
| Third-Party AI Vendor Risk | ✓ | — |
Industries served
Credo AI
- Financial Services
- Healthcare
- Insurance
- Government & Public Sector
- Employment & HR
- Education
- Defense & National Security
ModelOp
- Financial Services
- Healthcare
- Insurance
- Government & Public Sector
- Retail & E-commerce
- Defense & National Security
Integrations
Credo AI
- AWS SageMaker
- Azure ML
- Databricks
- Snowflake
- MLflow
- Jira
- ServiceNow
- Slack
- GitHub
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.