Credo AI
Enterprise AI governance platform that registers, risk-assesses and governs every agent, model, application and AI vendor.
By Credo AI · HQ United States · 4.3/5 Value-Position score (estimate)
Positioning guardrails
Best for
- Enterprises governing AI at scale that need one registry for every agent, model, application and AI vendor.
- Regulated industries (financial services, insurance, healthcare, federal/defense) that must evidence EU AI Act, NIST AI RMF or ISO 42001 alignment.
- AI governance, risk and compliance teams replacing spreadsheets with policy-to-code automation and audit-ready evidence.
- Organizations with shadow AI and third-party AI vendor risk they cannot currently see or sanction.
- Teams deploying agentic AI that want agent cards, agentic risk controls and continuous drift monitoring.
Ideal size: 1,000–10,000+ employees people · Enterprise with a dedicated AI governance, risk or compliance function
Not for
- Small teams or startups with no regulatory obligation or formal AI governance mandate.
- Buyers wanting a self-serve tool with published pricing and instant sign-up.
- Teams that only need model observability or MLOps monitoring without governance workflow.
- Companies content to document AI in a generic GRC suite with no AI-specific policy packs.
- Individual developers or hobbyist users.
Value metrics scorecard
Time-to-Value
About 3 months
~90 days to first production value
Total Cost of Ownership
On request
Custom enterprise pricing, quoted annually; no public price list. Buyers request a demo or talk to a governance expert.
Implementation Friction
4/5
Engineering + admin effort required
Value-Position score
out of 5 · model estimate
Full cost breakdown
Mandatory implementation fee
None
Seat tiers
Not published; enterprise agreements.
Add-on costs
- Credo AI Advisory Services — optional governance experts, workshops, workflow configuration and custom integrations, priced separately.
Company & support
Who is behind Credo AI, and how your team gets help once it is live.
Company
- Founded
- Not recorded
- Headquarters
- United States
How you get support
- PhoneNot listed
- EmailNot listed
- Live chatNot listed
- Support portal / ticketsNot listed
- Community forumNot listed
- Help centre / docsPlan not stated
- Dedicated account managerNot listed
- In person / on-siteNot listed
- Hours
- Not recorded
- Response time
- Not stated
“Not listed” means the vendor’s public pages don’t mention that channel, not that it is unavailable. Ask about it during evaluation.
Market position
Where Credo AI sits against its closest alternatives. Pick any two of cost, speed, friction and buyer score, and up to 9 companies to compare.
Quadrant view
Typical annual cost × Time-to-value
The lines cross at the median of the solutions shown, so about half sit on each side of each line.
Companies on the chart 6 / 10
- Credo AI
- BigID
- Island
- SailPoint
- Riskonnect
- Atlan
Add or change companies
Up to 10 companies including Credo AI. Listed closest first.
Stack fit signal
Compatibility with standard B2B ecosystems.
No supported MCP path today, so it cannot be driven from an AI client.
AI & MCP readiness
What Credo AI ships in AI, and what it asks of your ecosystem.
AI features shipped
GAIA (Govern AI Assistant), described by the vendor as an AI governance agent, is generally available in the platform and compresses weeks of governance work into hours. The platform's governance knowledge graph is described as built and updated by agents and validated by human experts.
Your data & models
- Trains on your data
- Not recorded — ask the vendor
- Runs on
- Not recorded
- AI pricing
- Not recorded
In your ecosystem
- AI connection
- Not supported
- Model key
- Not recorded
- AI usage audit
- Not recorded
Compliance attestations
* IAPP AIGP certifies individuals, not products. It means named staff hold the credential — not that the platform does.
Bottom line
Credo AI is an enterprise AI governance platform that catalogs agents, models, applications and AI vendors in one AI registry, then applies policy packs for the EU AI Act, NIST AI RMF and ISO 42001 with continuous risk monitoring, drift detection and audit-ready evidence. Sales are enterprise and custom priced, paired with optional advisory services and forward-deployed governance experts. GAIA, its AI governance assistant, is generally available in the platform.
Frequently asked questions
What problem does Credo AI solve that a generic GRC tool does not?
Credo AI is purpose-built for AI rather than adapted from enterprise GRC. It maintains an AI registry covering agents, models, applications and vendors (including shadow AI detection), provides a purpose-built agentic risk and control library, translates policy into automated workflows, and records audit-ready evidence mapped to frameworks such as the EU AI Act, NIST AI RMF and ISO 42001. The vendor positions it for continuous lifecycle governance rather than snapshot, spreadsheet-based compliance.
How is Credo AI priced and what does it cost?
Credo AI does not publish a price list. The buying motion is enterprise and sales-led: you request a demo or talk to a governance expert, and pricing is quoted annually. Credo AI Advisory Services — governance experts who run workshops, configure workflows and build custom integrations — are priced separately as an add-on. Because no public figures are published, budget for a custom enterprise contract rather than a per-seat list price.
How long does it take to get value?
No vendor-published implementation timeline is available. Typical enterprise onboarding involves connecting the platform to your AI systems and everyday tools, importing or building an AI use-case inventory, and configuring workflows and policy packs; advisory services are offered to accelerate this. Customers such as AdeptID report reaching EU AI Act alignment roughly ten times faster than doing the work manually, suggesting the value is in compressing manual governance effort rather than instant deployment.
Which regulations and frameworks does it cover?
The platform ships policy packs with regulatory intelligence for major frameworks, named by the vendor as the EU AI Act, NIST AI RMF, ISO 42001, OMB M-25, Colorado ADMT and NAIC AI, plus AIUC-1 for AI agents. Policy packs are written and refreshed by a team the vendor says participates in ISO, NIST, EU, NATO and OECD work, and compliance mapping and evidence recording are built into the workflow.
How does it fit our existing stack?
Credo AI advertises native integrations with tools enterprises already run, naming Snowflake, Databricks, AWS, Azure, ServiceNow, Jira, Confluence, Slack, GitHub and MLflow, plus connections to model stores, datasets, evidence uploads and GRC artifact generation. The integrations hub describes pulling in AI use cases for inventory, auto-detecting models to govern, and pushing governance artifacts back to compliance and security teams. Confirm the specific connectors you need during the demo.
Can it govern autonomous AI agents, not just models?
Yes. Credo AI markets agent governance as first-class: an agent registry with agent cards, dependency mapping, a purpose-built agentic risk and control library covering tool misuse, scope drift and inter-agent risk, and continuous monitoring with drift detection and real-time alerts fed by observability tooling. Runtime policy enforcement at the agent harness is also described. Buyers should validate how deeply enforcement reaches into their own agent runtime.