A platform for every stage of your Responsible Al journey
Whether you're just getting started or have been building out your Responsible AI processes for years, Credo Al has tools and offerings for every level of Responsible Al maturity.
Assess AI use cases, ML models, and datasets against Responsible AI requirements, and generate a variety of different reports and other governance artifacts for review and attestation.
Integrations to support continuous compliance assessment and alerting at every stage of the ML lifecycle, through design, development, and deployment.
Manage risk mitigation workflows and power enterprise risk dashboards with integrations into your existing GRC infrastructure.
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.
Manage the governance process across data science, business, and oversight teams with collaboration tools, reviews, and attestation flows.
Credo Al is built to sit on top of your existing technical MLOps infrastructure. Credo Al also integrates with your GRC tools and processes, becoming the Al risk engine that feeds into your existing business risk dashboards.
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 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.