Databricks and Credo AI Collaborate to Deliver Scalable, Responsible AI Solutions with Compliance Standards

Palo Alto-based startup Credo AI has announced that its AI governance platform is now available on the Databricks Data Intelligence Platform.

With this integration, Databricks customers can efficiently track and manage AI risk and compliance at scale, utilizing existing data stored in the Databricks environment. This provides enhanced transparency throughout the AI development lifecycle.

Credo AI, founded in 2020 and having raised $12.8 million in Series A funding in May 2022, will integrate with Databricks' MLFlow, which oversees the machine learning development lifecycle. This integration will automatically convert model metrics and metadata into essential governance artifacts, such as Model Cards and AI Impact Assessments.

As new regulations, such as the EU AI Act, emerge, they will mandate that model providers and developers conduct risk self-assessments, perform conformity assessments, maintain auditable registries, and monitor performance, all aligned with transparency obligations based on risk category.

“I believe the Databricks partnership will be significant, setting the tone for 2024,” said Credo AI founder and CEO Navrina Singh. “This collaboration signals to enterprises that effective governance must consider context and business priorities, allowing them to manage risk while delivering safe, responsible products to market.”

Roger Murff, VP of Technology Partners at Databricks, expressed enthusiasm for the partnership, stating that it aims to bring AI policy intelligence to the Databricks platform. He emphasized the critical role of governance in ensuring the safe and compliant adoption of AI at scale as companies refine their AI strategies.