Measure, monitor, and improve machine learning models to deliver better results.
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Arthur helps data scientists, ML engineers, product owners, and business leaders accelerate model operations at scale. We work with enterprise teams to monitor, measure, and optimize model performance and quality for:
PRODUCT DEEP DIVE1
Track model performance to detect and react to data drift, improving model accuracy for better business outcomes.
2
Build trust, ensure compliance, and drive more actionable ML outcomes with Arthur’s explainability and transparency APIs.
3
Proactively monitor for bias, track model outcomes against custom bias metrics, and improve the fairness of your models.
Our team has deep roots in both academia and industry, driving exclusive product capabilities that connect cutting-edge science with business outcomes.
Use the platform to find anomalies, monitor for drift and bias, and provide explainability.
Arthur scales up and down to ingest up to 1MM transactions per second and deliver insights quickly.
See how each model treats different population groups, proactively identify bias, and use Arthur's proprietary bias mitigation techniques.
Model- and platform-agnostic
Deployment on-prem, in the cloud, or hybrid
Automated out-of-the-box and custom alerts
Easy-to-digest exportable reports down to the inference level
Centralized dashboard for a single view of model metrics across teams
Role-based access control & single sign-on
