Credo AI

Credo AI was founded in March 2020 in Palo Alto, CA by Navrina Singh (CEO) and others, with the explicit mission of defining and leading the enterprise AI governance category — a term the company claims to have coined. The platform is purpose-built (not a GRC tool retrofitted for AI) to govern AI models, agents, datasets, and third-party AI applications across their full lifecycle: discovery, assessment, policy management, continuous monitoring, and audit-ready compliance reporting. Customers include Mastercard, Northrop Grumman, Booz Allen Hamilton, Autodesk, and Madrigal Pharmaceuticals. As of February 2026, the company employed approximately 68 people.

In July 2024, Credo AI raised $21 million in new capital (from CrimsoNox Capital, Mozilla Ventures, and FPV Ventures, with participation from Sands Capital, Decibel VC, Booz Allen Hamilton, and AI Fund), bringing total funding to $41.3 million. The company reported 2x year-over-year revenue growth in its 2025 Year in Review, 150% growth in enterprise customers, 2x European expansion, and 40+ strategic partners embedding governance in production. In 2025, the company launched on AWS and Microsoft Azure marketplaces, moved into new San Francisco headquarters, and expanded its advisory services with Forward-Deployed AI Governance Experts embedded inside major customers.

Credo AI's technical architecture was designed from the ground up for AI governance rather than adapted from privacy or IT risk tooling. It scores 5/5 in the Forrester Wave AI Governance Solutions Q3 2025 on AI Asset Catalog, AI Policy Management, AI Quality & Testing Workflows, AI Regulatory Compliance Audit, and User Interface. Its Agent Registry (launched in public preview 2025) governs agentic AI systems — tracking data access, workflow triggers, customer interactions, and escalation vectors — for a risk model that accounts for action-taking AI, not just output-generating AI. Integrations span Databricks, Microsoft Azure, AWS, and major MLOps/LLMOps toolchains.

Credo AI occupies the pure-play AI governance position — the highest-conviction bet that AI governance will remain a dedicated, standalone budget line rather than collapse into existing platform suites. Its Forrester Leader designation and enterprise customer traction among Fortune 500 organizations gives it credibility that seed-stage AI governance startups lack, while its $41.3 million in total funding and ~68-person team creates urgency to reach revenue scale before platform vendors commoditize the category. Credo AI's most defensible position is among organizations with complex, multi-vendor AI environments where deep governance (agentic risk, LLM quality evaluation, multi-framework regulatory mapping) requires more than a module. Its McKinsey partnership and advisory services model is smart: it captures governance-readiness budgets that flow through consulting engagements before they become software procurements.