Credo AI
by Credo AI
AI governance, risk and compliance for every model, agent and AI vendor.
Credo AI is an enterprise AI governance platform that inventories every model, application, agent and AI vendor, scores their risk, and maps them to policy packs for the EU AI Act, NIST AI RMF and ISO 42001. It is built for risk, compliance and AI leaders who need audit-ready evidence without running governance reviews by hand.
Credo AI is an AI governance, risk and compliance platform that gives enterprises a system of record for every AI model, application, agent and third-party AI vendor they use. Founded in 2020 by CEO Navrina Singh and headquartered in San Francisco, the company builds its product around five modules: an AI Registry that auto-discovers and inventories AI systems, including shadow AI across cloud environments; Risk Intelligence, which runs continuous contextual risk assessments with libraries for agentic risks such as tool misuse and scope drift; a Compliance and Policy Engine that turns policy into code through pre-built packs for the EU AI Act, NIST AI RMF, ISO 42001 and SOC 2 and records audit-ready evidence; Runtime Governance for trace evaluation; and Agent Governance with dependency mapping. It connects to AWS, Azure, GCP, Databricks, Snowflake, MLflow, LangChain, CrewAI and AutoGen on the build side, and to ServiceNow, Archer, OneTrust, Jira and Slack on the GRC and workflow side. In May 2026 Credo AI made its Govern AI Assistant (GAIA) generally available to automate use-case intake, draft questionnaire answers and match risks to controls, previewed a public MCP server for customer-built agents, and named runtime enforcement at the point of use as its next roadmap item. Forrester named it a Leader in The Forrester Wave: AI Governance Solutions, Q3 2025, with the highest possible scores in criteria including AI policy management and regulatory compliance audit. Named users include Mastercard, Northrop Grumman and Booz Allen Hamilton. It raised a $21 million round in July 2024, led by CrimsoNox Capital at a reported $101 million valuation, bringing total funding to $41.3 million at the time.
Chief risk, compliance or responsible-AI leaders at large regulated enterprises who must inventory many AI use cases and prove alignment with the EU AI Act, NIST AI RMF or ISO 42001.
One registry of AI systems, vendors and agents with risk assessments and policy-pack controls that produces audit-ready compliance evidence instead of manual review cycles.
At a Glance
- Category
- Governance & Security
- Pricing
- Subscription, Contact for pricing
- Target Market
- CIOs, CTOs, Chief Risk Officers, Compliance & Legal Teams, Chief Data Officers
- Deployment
- Cloud-first
- Founded
- 2020
- Headquarters
- San Francisco, USA
Key Features
- ✓AI Registry & Discovery
Centralized inventory that auto-discovers AI systems, agents, models and vendors, including shadow AI across cloud environments, so governance starts from a complete list.
- ✓Risk Intelligence
Continuous, contextual risk assessment with agentic risk libraries covering tool misuse, scope drift and inter-agent risks, matched to mitigating controls.
- ✓Compliance & Policy Engine
Pre-built policy packs for the EU AI Act, NIST AI RMF, ISO 42001 and SOC 2 translate requirements into controls and record audit-ready evidence.
- ✓Govern AI Assistant (GAIA)
Governance agent, generally available since May 13, 2026, that suggests intake metadata, drafts questionnaire answers, flags risk scenarios and proposes controls from Credo AI's library.
- ✓Agent Governance
Agent registry with dependency graphs, plus an Agent Governor research preview, so teams can track which agents exist and what they depend on.
- ✓MCP server (preview)
Public MCP server preview lets customer-built agents read use-case data, submit assessments, trigger reviews and enforce policies against the platform.
- ✓Integrations, APIs and SDKs
Connectors for AWS, Azure, GCP, Databricks, Snowflake, MLflow, ServiceNow, Archer, OneTrust and Jira, plus custom APIs, webhooks and SDKs for bespoke pipelines.
Capabilities
Use Cases
- •EU AI Act readiness
Classify each AI use case, apply the EU AI Act policy pack, and assemble the evidence that regulators and internal auditors will ask for.
- •AI use-case intake at scale
Route new AI requests through GAIA-assisted intake so reviewers start from drafted answers, identified risk scenarios and suggested controls instead of blank forms.
- •Third-party AI vendor risk
Register external AI vendors alongside internal models so procurement and risk teams assess vendor AI against the same policies and controls.
- •Agentic AI oversight
Inventory deployed agents and their dependencies, then assess agent-specific risks such as tool misuse and scope drift before expanding a rollout.
- •Generative AI governance in financial services
Mastercard uses the Credo AI Platform to manage AI risk and implement generative AI responsibly, citing better speed and scale than before.
Ideal For
Best For
- ✓Building a central inventory of AI models, agents, applications and third-party AI vendors, including shadow AI
- ✓Mapping AI use cases to EU AI Act, NIST AI RMF and ISO 42001 requirements with pre-built policy packs
- ✓Running AI use-case intake and risk review at scale with an AI assistant drafting assessments and suggesting controls
- ✓Connecting AI governance to existing GRC tooling such as ServiceNow, Archer and OneTrust
- ✓US public-sector and insurance teams tracking OMB M-25 or NAIC AI obligations, which ship as ready-made packs
Not Ideal For
- ✗Startups and small teams on a tight budget: pricing is sales-quoted, a competitor reports $30K-$150K+ a year, and a Hacker News practitioner called it 'the enterprise option if budget isn't a constraint'
- ✗Teams whose main need is inline guardrails that block prompt injection or PII leakage at inference time; Credo AI's May 2026 GAIA announcement still listed runtime enforcement at the point of use as a roadmap item
- ✗ML engineering teams looking for built-in evaluation suites, drift detection or per-trace debugging, which sit in observability and eval tools rather than this governance layer
Integrations
Deployment
Market Analysis
Pros
- ✓Named a Leader in The Forrester Wave: AI Governance Solutions, Q3 2025, with top scores in AI asset catalog, AI policy management and AI regulatory compliance audit
- ✓Broad pre-built framework coverage: EU AI Act, NIST AI RMF, ISO 42001 and SOC 2 packs, plus OMB M-25, Colorado ADMT and NAIC AI
- ✓Integrates into existing GRC and ML stacks (ServiceNow, Archer, OneTrust, Databricks, Snowflake, MLflow) rather than replacing them
- ✓Large-enterprise references including Mastercard, Northrop Grumman and Booz Allen Hamilton, backed by an independently audited SOC 2 Type II report covering security, availability and confidentiality
Cons
- ✗List pricing is unpublished; competitor CO-AIMS reports $30K-$150K+ per year ($40K-$200K+ in year one with implementation), and a March 2026 Hacker News commenter called it 'the enterprise option if budget isn't a constraint'
- ✗Runtime enforcement is not yet the core: Credo AI's own May 2026 GAIA announcement named policy enforcement at the point of use as the next roadmap item, and competitor Openlayer says blocking prompt injection or PII leakage at inference needs external tools
- ✗Governance-level dashboards rather than engineering observability: Openlayer (a competitor) notes no preset hallucination, bias or toxicity tests, no drift detection and no per-trace debugging, so separate eval tooling is still required
- ✗Implementation requires technical integration with ML infrastructure, which CO-AIMS (a competitor) puts at weeks to months depending on stack complexity
Pricing
Enterprise
Contact for pricing
- ✓AI Registry & Discovery
- ✓Risk Intelligence
- ✓Compliance & Policy Engine with EU AI Act, NIST AI RMF, ISO 42001 and SOC 2 packs
- ✓Integrations, APIs and webhooks
Credo AI publishes no list pricing; deals are sales-quoted enterprise subscriptions arranged through a demo request. Competitor CO-AIMS reports market figures of roughly $30,000-$150,000+ per year, and $40,000-$200,000+ in year one once implementation is included; treat those as third-party estimates, not vendor quotes. The metering basis (use cases, seats or modules) is not disclosed.
Security & Compliance
Sources
This page was written from 10 sources, 5 on domains other than credo.ai.
- 1.credo.ai — credo.aivendor
- 2.credo.ai — aboutusvendor
- 3.credo.ai — productvendor
- 4.credo.ai — soc 2 type ii compliancevendor
- 5.credo.ai — announcing general availability of govern ai assistant gaia vendor
- 6.finance.yahoo.com — tech governance startup credo ai 150034705
- 7.finance.yahoo.com — credo ai named leader 2025 151800497
- 8.openlayer.com — credo ai reviews pricing alternatives
- 9.co-aims.com — credo ai review 2026 compliance officers
- 10.hn.algolia.com — search
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