Use the executive dashboard for model data, custom algorithm execution, automated workflows, and web-based access to a comprehensive, auditable inventory of all models and dependencies.
Develop, back-test, and document models and methodologies. Improve transparency, reproducibility, and reusability of models. Automatically generate model documentation and reports.
Validate models in various languages and construct challenger models with an extensive algorithm library, all within a single platform. Facilitate feedback and approvals through communication workflows. Produce automated model validation reports.
Facilitate ongoing model quality with continuous integration and testing. Enable pre-production testing for approved models, manage comprehensive validation tests, and conduct testing to ensure in-production models meet development criteria.
Run and deploy models regardless of language without recoding. Host and scale models securely. Integrate with current tech and ModelOps standards. Handle multiple model versions in varied environments.
Implement real-time monitoring and assessment of models with a customizable web dashboard. Set up alerts for automated oversight. Analyze model performance to identify models for potential retirement.