- Track the performance of all your models using research-backed metrics.
- Identify univariate and multivariate data drift in your models for tabular and unstructured data like NLP & Computer Vision.
- Know the 'why' and the 'how' behind your models.
- Simulate 'What-If' scenarios and quickly diagnose & fix issues with you ML.
- Make black box models transparent and auditable.
- Identify biases in your data.
- Analyze predictions to surface unwanted bias in models that make decisions about people.
- Mitigate bias, as well as benchmark and track improvements.
The quickest implementation for Model Monitoring you will find. Get up and running within minutes, so you don't skip a beat.
Arthur is model-agnostic & platform-agnostic, meaning you can easily integrate the platform with the tools you use every day.
Monitoring & Explainability for all of your models through Arthur's intuitive dashboard, a notebook, command line, or our powerful API.
Involve all relevant stakeholders in the model auditing process using easy-to-digest exportable reports and other multi-persona collaboration features.
Automated and custom 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 like NLP & Computer VIsion with the latest and greatest in AI observability techniques developed by experts.