Credo AI
Credo AI, Inc.
Context-driven AI governance for regulated enterprises.
Last verified April 21, 2026About Credo AI
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.
Framework coverage
Coverage claims documented by Credo AI on their own materials. Chip shading reflects the strength of the claim, not an independent audit.
EU · in force
US · voluntary
Global · voluntary
US · in force
Capabilities
Features Credo AI markets publicly. Inclusion means the capability is documented — not that it's best-in-class.
AI Model Inventory
Centralized registry of all AI/ML models in use across the organization, with ownership, lifecycle stage, and risk classification.
Policy Management
Authoring, versioning, and distribution of AI usage policies mapped to regulations.
Risk Assessment Workflow
Guided workflows for completing AI impact assessments, risk scoring, and approval routing.
Bias & Fairness Testing
Automated statistical testing for disparate impact across protected attributes, with audit-ready reports.
Explainability
SHAP, LIME, counterfactual, and feature-importance explanations for model decisions.
Model Monitoring
Production monitoring for performance, drift, data quality, and fairness regressions.
LLM Red Teaming
Automated adversarial testing of LLMs for jailbreaks, prompt injection, and unsafe outputs.
Audit Evidence Collection
Automated collection, hashing, and retention of evidence (model cards, test results, approvals) for audit.
Third-Party AI Vendor Risk
Intake and assessment of AI features in third-party SaaS used by the organization.
Regulatory Intelligence
Ongoing tracking of AI laws, standards, and enforcement, mapped to your model inventory.
Industries served
Integrations
Documented by Credo AI in public product materials.
- AWS SageMaker
- Azure ML
- Databricks
- Snowflake
- MLflow
- Jira
- ServiceNow
- Slack
- GitHub
Pricing
Enterprise-only; typical engagements start in the mid-five figures annually.
Pros and cons
Pros
- Deep EU AI Act and NIST AI RMF coverage with pre-built policy packs
- Strong thought-leadership footprint — contributed to NIST AI RMF
- Purpose-built for governance teams (not retrofitted MLOps)
Cons
- No self-serve tier; all deployments require sales engagement
- Lighter on runtime LLM guardrails than security-focused peers
- Smaller integration catalog than larger GRC platforms
Alternatives to Credo AI
Frequently asked
Does Credo AI support the EU AI Act?+
Yes. Credo AI offers pre-built policy packs mapped to EU AI Act obligations, including high-risk system classification, impact assessments, technical documentation templates, and conformity assessment workflows.
What is Credo AI's pricing?+
Credo AI does not publish list pricing. Deployments are enterprise-only with pricing based on model inventory size, users, and modules. Expect mid-five to low-six figures annually for a mid-market deployment.
Is Credo AI a good fit for startups?+
Generally no. Credo AI targets enterprise governance teams. Startups with lighter needs should evaluate FairNow, Trustible, or Fairly AI.
Sources
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