The platform for building trust in your AI
Credo AI's Responsible AI Governance Platform gives your team complete visibility into your AI systems and reports on Responsible AI considerations—fairness, performance, transparency, security, privacy, and more—to internal stakeholders, external customers, and regulators.

Enterprise solutions for Al governance
Standardize AI governance
AI governance is a strategic imperative for many organizations in 2023, but the path to get there isn’t always clear. Operationalize your internal AI risk and compliance review processes while reducing the burden of governance on technical teams.
Meet new regulatory requirements
AI regulation is here, and regulators are demanding greater transparency and accountability from organizations building and using AI. Generate required reports and disclosures for your high-risk AI systems to meet current laws like NYC’s Local Law No. 144 and forthcoming regulations like the EU AI Act.
Build trust with your customers
As your customers become more aware of the risks associated with AI, they demand greater transparency into how your AI offerings are built and used. Quickly and effortlessly generate the transparency reports that your customers need to trust your AI—increasing the ROI of your AI efforts.
Context-driven AI governance
Context Matters: Credo AI helps you align your AI's specific use case context to the right Responsible AI governance requirements.
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Credo AI Policy Center
Credo AI comes with out-of-the-box and customizable Policy Packs and Assessment Templates that help you keep up with emerging regulations and standardize governance across your organization.
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Multi-stakeholder collaboration
Manage the governance process across data science, business, and oversight teams with collaboration tools, reviews, and attestation flows.
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Programmatic Assessment, Automated Reporting
The Responsible AI Governance Platform standardizes and streamlines technical assessment of RAI issues like fairness, performance, explainability, security, privacy, and more—and automatically translates technical metadata about ML models and datasets into risk and compliance insights. As a result, your data scientists can spend less time formatting reports and more time building models and creating value for your business.
Integrated Technical ML Assessment Framework
Credo AI Lens, our open-source Python library, supports various Responsible AI assessment needs, integrates with your CI/CD pipelines and sends metadata about your models and datasets back to the platform for automated report generation. With Policy Packs and Lens, you and your team can run required technical assessments with just a few lines of code.
Requirements in your dev environment
Automated Responsible AI assessments
Instantaneous reporting to your compliance team
Responsible AI Assessments
- Your models and data never leave your environment.
- Lens is flexible to how you already work.
- Lens only sends evidence to our platform, not your model or data.
- Lens optionally runs in data science notebooks and/or in your CI/CD pipeline.
Fairness, Performance, Security, Privacy
Python library, Open-source
Ex. Microsoft RAI Toolbox, IBM Fairness 360
Notebooks, CI/CD Pipeline

Responsible Al is aligned with
human-centered values

Responsible AI (RAI)
RAI is focused on reducing the unintended consequences of AI by ensuring that the system's intent and use is aligned with the norms and values of the users it aims to serve.
Join the movement to make
Responsible Al a reality
