Model Trust Scores: Evaluating AI Models for Enterprise Trust

The Model Trust Score: The Framework for Strategic Enterprise AI Model Selection

“Is it ok to use DeepSeek R1?” Over the past few weeks, we’ve heard this question repeatedly from enterprises. But it points to a deeper question. As AI innovation accelerates, organizations face an expanding menu of models—each with distinct strengths and weaknesses. The real questions become more nuanced: Which model best serves our specific business needs? How do we evaluate the business including financial, legal and compliance tradeoffs? And most importantly, how do we make this decision systematically?

Credo AI developed Model Trust Scores to address these challenges. Model Trust Scores help enterprises first establish which foundation models meet their non-negotiable requirements (security, infrastructure compatibility), then contextualize complex evaluations into actionable, use-case specific insights to support clear-eyed decision making about model use. While AI benchmarks provide a valuable first pass, the Model Trust Score framework recognizes that context-specific assessments are critical for making truly business-informed decisions about which models to trust in critical business applications.

As part of Credo AIʼs broader governance platform, Model Trust Scores help governance teams define appropriate requirements and guide implementers on what additional evaluations to run based on business needs, risk thresholds, regulatory obligations, and enterprise policies. This comprehensive approach will soon be integrated into the Credo AI Platform, enhancing our overall solution to identify and mitigate risks across the entire AI supply chain and accelerate trusted AI adoption.

Before we dive into the framework in more detail, let’s see Model Trust Scores in action. Select the industry and dimension you are interested in and see how the models compare against each other. Then check the table of non-negotiables to make sure the model meets your non-negotiables.

0.1 Context-adapted AI TrustLeaderboard

Start with the “generic” industry scores to see a typical uncontextualized leaderboard across capability, safety and overall dimensions. Then select a particular industry to see the contextualized scores.

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