AI governance software for enterprise risk and compliance teams
Credo AI is an AI governance platform for enterprises managing risk and compliance across models, agents, and applications.
AI Panel Score
6 AI reviews
Reviewed
AI Editor ApprovedApproved and published by our AI Editor-in-Chief after full panel analysis.Credo AI works by first discovering the AI systems, models, and agents in use across an organization, creating a centralized registry of AI adoption. From there, teams use the platform to define and enforce governance policies, track risk across each AI asset, and generate the documentation artifacts needed to demonstrate compliance to internal stakeholders, auditors, or regulators. The workflow is built around ongoing monitoring rather than a one-time assessment, since AI systems and their risk profiles change as models, agents, and applications are updated or added.
The platform maps its controls and workflows to specific external frameworks, including the EU AI Act, NIST AI Risk Management Framework, ISO 42001, NYC Local Law 144, and Colorado SB21-169, so organizations can generate compliance artifacts tied to named regulatory requirements. It also includes a vendor risk directory for evaluating and tracking the compliance posture of third-party AI tools and models, and dedicated tooling for governing generative AI applications and agentic systems, addressing risks specific to LLM-based deployments. Credo AI also offers advisory services alongside the software to help organizations design and scale their governance frameworks.
Credo AI is aimed at enterprise risk, compliance, and legal teams, along with AI/ML teams that need to demonstrate governance over the models and agents they deploy. It competes in the AI governance and risk management category alongside vendors such as IBM watsonx.governance, Holistic AI, and Fiddler AI. Pricing is not published on the website and is handled through direct contact with the company.
Offers tools and safeguards specifically for governing and managing the risks of generative AI usage within enterprises.
Standardizes governance policies, manages review workflows, and generates compliance artifacts to identify and mitigate AI risk.
Supports bias audits and compliance reporting required under NYC Local Law No. 144 for automated employment decision tools.
Automates the creation and management of AI governance documentation and compliance reports for organizational transparency.
Provides a centralized AI registry to discover and track AI systems, models, and applications in use across the organization, surfacing risks and adoption trends.
Helps organizations prepare for and comply with the ISO 42001 AI management system certification.
Provides software support for implementing the NIST AI Risk Management Framework efficiently across AI systems.
Maps internal controls to specific regulations and standards such as the EU AI Act, NYC Local Law 144, and Colorado SB21-169 to ensure compliance.
Curates and categorizes GenAI operations tools with descriptions and links to support AI governance decision-making.
Delivers detailed risk assessments and governance information for third-party AI vendor tools and models.
Centralizes tracking, policy enforcement, and reporting for evaluating third-party AI vendor compliance.
Provides expert advisory services to help organizations design, deploy, and scale effective AI governance frameworks.
Credo AI is an enterprise AI governance platform for large, regulated organizations (financial services, healthcare, government, insurance) that need custom-scoped deployments; pricing requires contacting the vendor for a quote as it is not publicly listed.
Solid regulatory mapping and shadow AI detection, but no price transparency and no proof of durability yet.
“Credo AI covers the frameworks that matter — EU AI Act, ISO 42001, NIST RMF — with real integrations into Snowflake and ServiceNow. The gap is you can't tell what this costs or who else is betting on it.”
Five named frameworks mapped. 300-plus integrations. Shadow AI detection built into the registry. That's real product, not vaporware pitched at a board deck.
Two questions I can't answer from this evidence: how big is the team, and who's paying today? No funding data, no customer logos, no pricing page. "Contact sales" for an enterprise governance platform is normal, but it also means the board can't sanity-check the spend before we're in a demo.
Competes with IBM watsonx.governance, Holistic AI, Fiddler AI — all backed by bigger balance sheets or bigger parent companies. Credo AI's edge is depth on regulation-specific mapping, especially NYC Local Law 144 and Colorado SB21-169, which the bigger players treat as a checkbox. That's a real niche, if they can fund it long enough to matter.
Deeper regulation-specific mapping (NYC LL144, Colorado SB21-169) than IBM watsonx.governance offers out of the box.
Naming EU AI Act and ISO 42001 compliance to the board reads as diligent, but an unfamiliar vendor invites follow-up questions.
GAIA claims to compress governance intake from weeks to hours, though that's a vendor claim, not an audited result.
Agent Registry and Agent Governor address a real gap as agentic deployments outpace existing governance tooling.
No public funding data, no team size, no time-in-market signal beyond the site itself.
Regulated enterprises in finance, healthcare, or insurance that need documented compliance against EU AI Act or ISO 42001 now.
Skip if you need transparent self-serve pricing or can't wait through a sales cycle to see a number.
A real system of record for AI risk, if you can stomach an opaque enterprise sales cycle.
“Credo AI builds the audit trail I actually need for EU AI Act and ISO 42001 conversations. The gap is pricing transparency and the usual multi-quarter enterprise procurement slog.”
What matters to me isn't the dashboard, it's the artifact trail. Credo AI maps controls to EU AI Act, NIST AI RMF, ISO 42001, NYC Local Law 144, and Colorado SB21-169 — that's five live regulatory regimes I'd otherwise be tracking in spreadsheets across five different owners.
Shadow AI detection inside the Registry is the feature I'd push hardest in a board conversation. Unsanctioned agents and vendor models are exactly where my exposure hides, and Agent Registry treating agents as first-class governed entities (not bolted-on models) matches how our AI/ML teams are actually shipping now.
Three-hundred-plus integrations across Snowflake, Databricks, ServiceNow, and GitHub means this can sit inside existing GRC workflow rather than replacing it. Against IBM watsonx.governance and Holistic AI, Credo AI's framework depth reads stronger — but with no published pricing and no free trial, I can't pilot this without a procurement cycle first.
Named against IBM watsonx.governance and Holistic AI, with agent-level governance as a differentiator in an agentic-era pivot.
Continuous monitoring model matches how risk profiles actually shift with model and agent updates, not point-in-time audits.
300+ integrations including Snowflake, Databricks, ServiceNow, and GitHub fit directly into existing GRC and eng stacks.
A governance knowledge graph becomes the system of record — hard to rip out later, which cuts both ways.
Five named regulatory frameworks plus policy packs (OMB M-25, CO ADMT, NAIC) signal depth beyond checkbox compliance.
Regulated enterprises in financial services, healthcare, or insurance needing audit-ready documentation across models, agents, and vendors.
You need to pilot quickly on a fixed budget without a multi-stakeholder procurement process.
Zero pricing data. Zero tiers. Full sales-call gate — budget owners get nothing upfront.
“No published price, no free trial, no tiers. Everything routes through a quote, which means everything routes through negotiation leverage you don't control.”
No pricing page. No tiers. One line: Contact Sales. That's the whole model. Compare to Fiddler AI or IBM watsonx.governance — also enterprise-quote products, so Credo AI isn't unusual, just unhelpful for early budgeting.
TCO math is impossible to run without a number. Add 300+ integrations (Snowflake, Databricks, ServiceNow, Slack), advisory services on top, and this reads like a six-figure annual contract before implementation costs land. Advisory services alone signal services revenue baked into the deal — ask if that's bundled or billed separately.
No auto-renewal terms disclosed. No term length disclosed. No published payment terms. Procurement will need a full RFP cycle here, not a self-serve signup. GAIA claims to compress governance work from weeks to hours — real if true, but ROI still depends on a contract you can't see until legal's involved.
Enterprise-only sales motion with no self-serve path, per pricing plan description targeting regulated industries.
No auto-renewal or term length disclosed anywhere in the evidence.
No pricing page, no tiers, contact-only model per the evidence.
GAIA's 'weeks to hours' claim and audit-readiness artifacts give a measurable hook, but no case study numbers cited.
Advisory services plus 300+ integrations suggest a large all-in cost with no anchor number.
Large regulated enterprises in financial services or healthcare with budget for a full procurement cycle.
You need a visible price to justify the purchase to finance before engaging sales.
Solid control-mapping engine for EU AI Act and ISO 42001 — but I can't audit the price tag before I audit the tool.
“Credo AI maps real regulatory text — EU AI Act, NIST AI RMF, ISO 42001, NYC Local Law 144, Colorado SB21-169 — to controls, which is what my audit binder actually needs. But zero pricing transparency and no free trial means I'm building a business case on vendor calls alone.”
The registry-first workflow matches how I actually work: find the shadow AI, log it, risk-score it, then map to a named framework. NYC Local Law 144 bias audit support and Colorado SB21-169 policy packs aren't generic 'AI ethics' fluff — they're statute-specific, which is what an auditor's request letter actually asks for. GAIA's intake automation compressing weeks of control-mapping into hours sounds good on a slide; I'll believe it once I've seen a real intake queue.
Ongoing monitoring instead of point-in-time assessment fits how risk profiles actually shift when a model gets fine-tuned mid-quarter. The 300+ integrations (Snowflake, ServiceNow, MLflow) suggest this plugs into existing GRC plumbing rather than becoming its own silo.
My daily friction: no pricing page, no free trial, no public docs I can vet before a procurement cycle starts. Compared to IBM watsonx.governance, which at least has enterprise sales infrastructure buyers recognize, Credo AI asks for a lot of trust upfront. Fine for a Fortune 500 with a six-month RFP. Painful for a mid-size insurer trying to move fast on Colorado's new AI law.
Ongoing monitoring model fits real risk drift, but no trial means day-3 reality is unverifiable pre-contract.
Docs exist but no changelog or public API means I can't tell if they're maintained by engineers or by marketing.
Shadow AI detection cuts discovery friction, but contact-only pricing and no public docs add procurement friction before you even test it.
Agent Registry and Agent Governor treating agents as first-class governed entities shows depth beyond basic model cataloging.
300+ integrations including Snowflake, ServiceNow, Jira suggest it slots into existing GRC and IT ticketing flow rather than replacing it.
Large regulated enterprises in financial services, healthcare, or insurance running a formal RFP for AI governance tooling.
Avoid if you need to pilot against a specific regulation deadline without a multi-week sales cycle.
Governs your AI. Doesn't say a word about how it feels to use.
“Credo AI's feature list reads like a compliance officer's dream: 300+ integrations, shadow AI detection, ISO 42001 readiness. But there's no pricing page, no free trial, and nothing about what day-to-day actually looks like.”
Here's the thing about a website with no pricing page and no free trial — you're not evaluating a product yet, you're starting a sales process. That's fine for enterprise compliance software, that's the category norm, but it means everything I'd normally judge on day one (onboarding, first-hour feel) doesn't exist publicly. It's all 'contact sales.'
What's genuinely interesting is GAIA, the intake assistant that supposedly compresses weeks of governance registration into hours. If that's real, that's the difference between a tool people dread opening and one that doesn't fight you every week. The Agent Registry treating agents as first-class citizens alongside models is smart, given how fast agentic sprawl is happening.
Competes with IBM watsonx.governance and Holistic AI, which also have money and credibility. No mobile mention anywhere, no docs on error states or reliability. For a platform meant to run continuous monitoring, that's a real gap in what they're willing to show you upfront.
No changelog, no visible UI details beyond feature descriptions — nothing to judge day-to-day feel from.
Mapping to five-plus named frameworks (EU AI Act, NIST AI RMF, ISO 42001) suggests depth that takes real time to master.
Platform listed as web-only with zero mention of mobile access anywhere in the evidence.
GAIA claims to compress weeks of setup into hours, but the whole buying process starts with 'contact sales,' which is homework before you even see the product.
300+ integrations including Snowflake, AWS, and MLflow suggest real infrastructure investment, but no public info on uptime or error handling.
Large regulated enterprises in finance, healthcare, or insurance that need audit-ready AI governance documentation.
You want to try before you buy or need anything resembling a self-serve trial.
"The Trusted Leader in AI Governance" — self-declared, not earned yet.
“Feature list is dense and framework coverage is real. But no pricing page, no named customers, no funding data visible — a lot resting on trust.”
"Trusted Leader" in the H1 is the kind of superlative that ages poorly if a bigger name shows up. No pricing page, contact-sales only. Category norm for enterprise compliance, but it also hides whether this is a $30k tool or a $300k one.
The framework mapping is specific — EU AI Act, ISO 42001, NYC Local Law 144, Colorado SB21-169. That's not vague. 300-plus integrations claimed, native hooks into Snowflake, Databricks, ServiceNow. If true, that's real engineering, not a landing page promise.
Competes with IBM watsonx.governance, Holistic AI, Fiddler AI — IBM alone should worry them on distribution. Advisory services bundled in is a tell: compliance software that still needs humans to close the gap. Exit story is murky — a governance knowledge graph full of your policy mappings isn't a CSV export.
Agent Governor and shadow AI detection are distinct, but IBM and Fiddler compete on the same ground.
No API listed, and a governance knowledge graph tied to policy mappings is hard to unwind in 18 months.
300+ integrations and GAIA shipping as GA suggest real build velocity, but no funding or headcount signal given.
"Trusted Leader" claim with no customer logos or case studies shown in evidence.
Framework-mapping approach matches the category norm set by watsonx.governance and Holistic AI.
Regulated enterprises in finance, healthcare, or insurance that need audit-ready documentation across multiple frameworks at once.
You want to see a price or a customer name before you pick up the phone.
Common questions answered by our AI research team
Credo AI maps controls to the EU AI Act, NIST AI RMF, ISO 42001, NYC Local Law 144, and Colorado SB21-169, along with policy packs covering OMB M-25, CO ADMT, and NAIC AI Platform standards.
Yes. The AI Registry includes integrated shadow AI detection, giving full visibility into unsanctioned AI systems, agents, vendors, and models across the organization.
Credo AI integrates natively with Snowflake, Databricks, AWS, Azure, ServiceNow, Jira, Confluence, Slack, GitHub, and MLflow, plus over 300 additional integrations that feed business context into its governance knowledge graph.
Yes. Credo AI treats agents as first-class governed entities alongside models, applications, and vendors — registering, risk-assessing, sanctioning, and governing them into runtime through its Agent Registry and Agent Governor capabilities.
GAIA (Govern AI Assistant) is Credo AI's AI-powered intake and registration tool that handles risk and control mapping, compressing weeks of governance work into hours. It is generally available in the platform today.
Credo AI is a San Francisco-based company that provides software for AI governance, risk management, and compliance across the AI lifecycle.
