Credo AI vs ModelOp

Side-by-side comparison of framework coverage, pricing, capabilities, and target customers. Last verified April 2026.

Canonical URL: https://aicompliancevendors.com/compare/credo-ai-vs-modelop

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.

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At a glance

AttributeCredo AIModelOp
Founded20202018
HeadquartersSan Francisco, United StatesChicago, United States
Employees51-20011-50
Funding$41.3M total (Series B, July 2024)Series B, $10M, 2024, led by Baird Capital
PricingEnterprise-only; typical engagements start in the mid-five figures annually.No public pricing listed; contact sales for enterprise quotes.
WebsiteVisit siteVisit site

Framework coverage

FrameworkCredo AIModelOp
Colorado AI ActFull
EU AI ActFullFull
ISO/IEC 42001FullFull
NIST AI RMFFullFull
NYC LL 144Full

Capabilities

CapabilityCredo AIModelOp
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.