Credo AI

The AI governance platform trusted by Fortune 500s to discover, assess, and continuously govern AI at enterprise scale.

Security & Safety Enterprise Has API
Researched · Published · Reviewed
RECATOOLS Score
8.2 / 10
Capability
9
Value for money
6.5
Ease of use
7.5
ASEAN readiness
6
API quality
8
Founded
2020
HQ
Palo Alto, California, USA
Users
Enterprise customers including Fortune 500 firms such as Mastercard
Launched
Founded 2020; emerged from stealth in 2021
Developer
Independent (Credo AI, Inc.)

Overview

Credo AI is an enterprise AI governance platform that gives organizations unified, continuous visibility and control over every AI system — models, agents, and applications — across their technology stack. Founded in 2020 by Navrina Singh and Eli Chen, the platform automates risk assessment, policy enforcement, and compliance documentation for frameworks including the EU AI Act, NIST AI RMF, and ISO 42001, replacing point-in-time audits with always-on monitoring backed by proprietary Governance AI Agents (GAIA).

Recognized as a Forrester Wave Leader (Q3 2025) and ranked No. 6 in Applied AI on Fast Company's World's Most Innovative Companies 2026, Credo AI serves customers including Mastercard, PepsiCo, Autodesk, Cisco, and Northrop Grumman. Its open-source assessment library (Credo AI Lens) complements the commercial platform, and integrations span 30-plus ecosystem partners including AWS, Azure, Databricks, LangChain, ServiceNow, and GitHub.

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Pricing

Pricing shown for reference only. These figures reflect RECATOOLS research as of 11 Jul 2026 and may be out of date or incomplete. This is not financial or purchasing advice — always confirm the current price on the provider’s official website before making any decision.

Platform modules
Custom
Start with individual governance modules and expand as AI adoption grows
  • AI registry and discovery
  • Risk intelligence
  • Compliance and policy engine
  • Quote via sales

Use cases

Automating EU AI Act compliance documentation and audit trails for regulated enterprises Discovering and cataloguing shadow AI systems — unsanctioned models and agents — across the enterprise Continuously monitoring production AI for bias, drift, and policy violations in real time Governing multi-agent and agentic AI networks with trace-level policy enforcement Accelerating AI use-case review cycles for legal, risk, and compliance teams

What you can produce with Credo AI

  • Centralized AI registry with auto-discovery of models, agents, and shadow AI across cloud and on-prem environments
  • Continuous risk assessment reports covering bias, security, privacy, and regulatory compliance
  • Pre-built policy packs mapped to EU AI Act, NIST AI RMF, ISO 42001, and SOC 2 with automated evidence collection
  • Audit-ready compliance documentation and workflow trails for internal and external reviewers
  • Govern AI Assistant (GAIA) governance agents that accelerate use-case intake, draft governance questionnaires, identify risks, map controls, and propose evidence for human review
  • Integrations with 30-plus platforms including AWS (SageMaker, Bedrock), Azure ML, Databricks, ServiceNow, Jira, Salesforce, Hugging Face, and Collibra
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ASEAN Perspective

Credo AI in Southeast Asia

Credo AI has acknowledged Singapore as part of its global customer engagement footprint and has visited the region to understand enterprise AI governance needs, but it does not yet have a published roster of named ASEAN customers or a dedicated regional office. The platform's pre-built policy packs focus on the EU AI Act, NIST AI RMF, and ISO 42001 — all internationally relevant frameworks increasingly adopted by MAS-regulated firms in Singapore and public-sector AI initiatives in Malaysia and Indonesia. ASEAN enterprises in financial services, insurance, and government that must demonstrate AI risk management to regulators will find the compliance automation genuinely useful, but should budget for significant contract spend and may need to supplement with local regulatory mapping for frameworks such as MAS FEAT principles not yet covered out of the box.

RECATOOLS Verdict

Credo AI's case for enterprise AI governance is strong on paper and backed by real recognition: Forrester Wave Leader (Q3 2025), No. 6 in Applied AI on Fast Company's 2026 Most Innovative Companies list, and a customer roster that includes Mastercard, PepsiCo, Autodesk, and Northrop Grumman. GAIA, its governance agent, moved from public preview (February 2026) to general availability in May 2026, automating control recommendations across the model/agent registry rather than just flagging risks after the fact. The open-source Lens library is worth a caveat, though -- GitHub shows it archived and read-only since mid-2024, so it's a useful reference for methodology, not an actively maintained on-ramp.

Cost remains the real barrier: no free tier, no self-serve, and enterprise contracts that industry estimates put well into six figures annually. APAC presence is real but still thin -- customer visits to Singapore, no confirmed named regional accounts. Best fit stays large regulated enterprises with dedicated AI risk teams.

Independent AI-assisted assessment by RECATOOLS.

What people say

Credo AI's pitch is continuous governance instead of point-in-time audits, and the recognition backs it up: Forrester named it a Wave Leader for AI Governance Solutions in Q3 2025, and Fast Company ranked it No. 6 in Applied AI on its 2026 Most Innovative Companies list, alongside Google, OpenAI, and Anthropic. The customer list -- Mastercard, PepsiCo, Autodesk, Cisco, Northrop Grumman -- reads like a governance greatest-hits rather than a startup logo wall.

GAIA, the platform's governance agent, went from public preview in February 2026 to general availability in May, a fast turnaround that suggests real engineering investment rather than a demo feature. It recommends mitigating controls mapped to the Credo AI Control Library based on use-case risk, keeping a human in the approval loop rather than auto-remediating. Integration coverage is genuinely broad: AWS, Azure, Databricks, LangChain, ServiceNow, GitHub, and 30-plus named partners.

One claim needs updating: the open-source Credo AI Lens library, still cited in marketing material as a differentiator, has been archived on GitHub and read-only since July 2024. It's still usable as a reference implementation, but it isn't an actively maintained community project anymore, so treat it as documentation rather than an evaluation tool.

Pricing remains the biggest gate. Credo AI won't publish rates; one third-party estimate pegs annual contracts at $30,000-$150,000-plus before implementation costs, though Credo AI hasn't confirmed that figure. There's no self-serve tier. APAC traction is growing -- the company has visited Singapore and other regional hubs -- but named APAC reference customers are still sparse, so buyers there should ask for regional proof points before committing.

Summary of public user & expert reviews, compiled by RECATOOLS.

Notable facts

  • Credo AI's open-source Lens library was one of the first standardized AI assessment frameworks released publicly, pre-dating most regulatory mandates.
  • Founder Navrina Singh was named to TIME100 AI, recognizing her as one of the most influential figures shaping AI's societal impact.
  • Mastercard uses Credo AI to help govern AI systems that touch over 143 billion transactions.
  • Credo AI was a World Economic Forum Technology Pioneer in 2022 — two years before EU AI Act compliance became a boardroom priority.

Frequently asked questions

Does Credo AI offer a free plan or trial?
There is no free plan. Credo AI is enterprise-only with custom pricing. A demo is available on request, but there is no self-serve trial or freemium tier.
Is Credo AI open source?
The commercial platform is not open source, but Credo AI maintains an open-source assessment library called Credo AI Lens (github.com/credo-ai/credoai_lens) that standardizes model and data evaluation and connects to community-built assessments.
Which AI regulations does Credo AI cover out of the box?
Credo AI ships pre-built policy packs for the EU AI Act, NIST AI RMF, ISO 42001, and SOC 2, with automated evidence collection and audit-ready documentation for each framework.

About this listing

Researched on
Published on
Last reviewed

This entry was compiled from publicly available data including Credo AI's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with Credo AI unless explicitly stated.

Data accuracy

Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.

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