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.

Operationalize Responsible AI

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.

Define responsible AI requirements

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.

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.

Multi-stakeholder collaboration

Manage the governance process across data science, business, and oversight teams with collaboration tools, reviews, and attestation flows.

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.

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.

01

Requirements in your dev environment

Credo AI Lens brings governance requirements like policies and assessment plans to where your AI systems are built.
02

Automated Responsible AI assessments

Lens simplifies comprehensive assessment of models and datasets, and can be integrated into automated CI/CD pipelines.
03

Instantaneous reporting to your compliance team

RAI assessment results are easily sent to the Credo AI governance platform, where they are translated for easy review by 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.
Assessment Framework
RAI Modules

Fairness, Performance, Security, Privacy

Software

Python library, Open-source

RAI Integrations

Ex. Microsoft RAI Toolbox, IBM Fairness 360

Implementations

Notebooks, CI/CD Pipeline

Customer Infrastructure
RAI Modules
pipelines
notebooks
ai/ml models
datasets
Customer Infrastructure
AI Use Case
evidence
reports
Operationalizing Responsible AI

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