Arthur is the only centralized platform for comprehensive model monitoring across any stack for your entire organization, providing views into model performance for data scientists and business stakeholders with a wide range of interests, including data science operations, business P&L, compliance, and risk management. Arthur clients successfully mitigate legal, regulatory, and reputational risk, while maximizing revenue through more performant model behavior, ongoing throughout the entire model lifecycle.
Arthur gives you real-time visibility into model performance and outcomes and alerts you when things start to go off the rails.
Know at a glance which models need immediate attention due to dipping performance. Or identify opportunities to increase the performance of your models and detect data issues before they turn into costly problems.
Increase revenues by monitoring credit/loan models for unacceptable loss of accuracy
Gain immediate insight during Black Swan events like COVID-19 or sudden changes to upstream data sources that may affect accurate decisioning
Trigger Alerts across your existing systems to create tickets or automated refit/redeploy systems
Retrain models when needed instead of a time-based interval that may be too frequent or not frequent enough
Decrease fraudulent activity by understanding immediately when model accuracy suffers
Quickly understand when fraudsters have adopted new techniques to defeat your protections
Monitor the many data streams working within complex KYC or identity verification models for drift or sudden shifts
Catch anomalous inferences via alerts when individual behaviors significantly change
Understand when customers are engaging with recommender engines or when these predictive models are no longer as effective
Use insights to know when a customer may need special offers, support, or other intervention to avoid churn
Increase conversion rates by understanding when collections strategies are working well or when models need to be tweaked to better suit changing real-world conditions
Decrease support calls with better-automated customer service
Arthur equips you to easily compare model outcomes for sensitive groups against various fairness metrics to avoid unintended bias. Or understand what subpopulations your model simply doesn't perform great against.
Aggregate inference data and configure thresholds to monitor for unwanted bias in models that make consumer-affecting decisions. Mitigate and benchmark bias in existing models and track improvements as newer versions are deployed.
Avoid undue reputational damage and legal action by understanding instantly when models drift beyond acceptable risk tolerance for disparate impact
Explore not just protected classes, but subgroups where bias may not be as immediately evident during testing/training time
Monitor for error rates that may be disproportionate across subpopulations to guide your search for underrepresented segments of population data
Continually improve your models to make them ever fairer by automatically boosting decision weights upon a predetermined threshold
Gain visibility into ongoing model performance disparities under protected classes, being informed when models disproportionately deny customers based on legally protected class data
Understand when you need to retrain or add representative data to certain classes to increase performance on under-represented groups
Recommend sensitive and legally protected products in a fair, balanced way across age, gender, race, and any other sensitive attributes you may watch for
Instantly flag support request disparities in how your automated chatbots may treat user requests differently among groups
Ensure marketing content is targeted at a disparate and diverse group
Seamlessly integrate models from any development or deployment environment into Arthur’s monitoring platform. With advanced monitoring and alerts across a variety of performance metrics, debug issues faster—so you can spend more time solving interesting problems, not babysitting models.
Any Model, Any Platform, Anywhere
Arthur works seamlessly with all your favorite data science and MLOps tools. Our platform is model-agnostic and platform-agnostic, which means you get one centralized dashboard for all of your models, no matter which tools you used to build them or where they're deployed.
Fits Your Workflows
Quick get up and running with only a few lines of code, so you don't skip a beat. Arthur can be deployed on-prem, in a cloud environment, or via SaaS.
Arthur is model- & platform-agnostic, meaning they will easily integrate with the tools you use every day.
Monitor all of your models at a glance by connecting them to the Arthur dashboard.
Involve all relevant stakeholders in the model auditing process using easy-to-digest exportable reports and other multi-persona collaboration features.
Set up alerts to track issues in your models, so that you can react as quickly as your business needs you to.
The only platform that supports both structured and unstructured data (NLP & CV) while utilizing the latest and greatest in AI observability techniques developed by experts.