Provides an AI governance platform that enables enterprises to inventory AI use cases, assess vendor risks, and ensure compliance with regulations like the EU AI Act and ISO/EIC 42001. The platform integrates with existing AI systems to automate risk management, generate audit artifacts, and operationalize contextual governance at scale, reducing regulatory and operational risks associated with AI adoption.
Funding
$39.3M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
MVFounders
Product
Problem
Enterprises face increasing challenges in governing AI systems due to the complexity of AI models, evolving regulations like the EU AI Act, and the need to manage risks associated with AI adoption. Existing AI systems often lack the necessary controls for inventorying AI use cases, assessing vendor risks, and ensuring continuous regulatory compliance. This can lead to operational inefficiencies, regulatory violations, and reputational damage.
Solution
Credo AI offers an AI governance platform that enables organizations to adopt, scale, and govern AI safely and effectively. The platform provides a centralized AI registry to inventory AI use cases across the enterprise, along with tools to assess risks associated with AI vendors and ensure compliance with global AI regulations and industry standards. By integrating with existing AI infrastructure, Credo AI automates AI risk management workflows, generates audit artifacts, and operationalizes contextual governance at scale. The platform helps organizations streamline AI governance, ensure AI risk management, and maintain continuous alignment of AI projects with the latest regulations and internal policies.
Target Audience
The primary target audience includes enterprises across various industries that are adopting AI and need to ensure responsible, compliant, and scalable AI governance practices.
Features
- AI Registry: Centralized inventory of AI use cases across the enterprise
- Vendor Portal: Assessment of AI vendor models for risk and compliance
- Risk Center: Evaluation of AI systems against operational, regulatory, and reputational risks
- Regulation Automation: Continuous alignment with global AI regulations and industry standards such as EU AI Act, ISO/EIC 42001, NIST AI RMF, and NYC Local Law No. 144
- Generative AI Guardrails: Specific controls for managing risks associated with generative AI models
- Audit Artifacts: Automated generation of documentation for AI audits
- AI Adoption Tracking: Monitoring and prioritization of AI adoption initiatives
- Integration with existing AI Ops infrastructure for comprehensive governance insights