It’s widely understood that after machine learning models are deployed in production, the accuracy of the results can deteriorate over time. Arthur.ai launched in 2019 with the goal of helping companies monitor their models to ensure they stayed true to their goals. Since then, the company has also added explainability and bias mitigation to the array of services.
The tooling has been resonating in the market, and today the startup announced a hefty $42 million Series B. Company co-founder Adam Wenchel told TechCrunch it’s the largest round ever given to a machine learning monitoring startup.
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