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AI safety & robustness evaluation
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Company focused on AI safety and robustness, providing tools for evaluating AI systems against distribution shifts.
Automatically generates behavioral fingerprints from runtime logs and metrics, continuously adapting tests to match AI application developments without manual intervention
Creates comprehensive behavioral definitions by analyzing runtime data, providing a unique profile of how AI applications behave in production
Tests every attribute of every part of the AI application, ensuring complete behavioral validation across all components
Monitors and alerts teams to shifts in AI application behavior over time, helping identify performance degradation or unexpected changes