RASON® by Frontline Systems, Inc. is a high-level modeling language and cloud-based platform designed to simplify the creation, deployment, and management of advanced analytic models.

• High-Level Modeling Language Embedded in JSON: RASON integrates seamlessly with JSON, allowing users to define and solve optimization, simulation, and machine learning models directly within web and mobile applications.
• RESTful Decision Services: Deploy models as RESTful services with a standard API, enabling easy integration into various applications and workflows.
• Integration with Microsoft Power Platform: Deep support for Power BI, Power Apps, and Power Automate facilitates the incorporation of analytic models into business processes without extensive coding.
• Multi-Stage Decision Flows: Create and manage complex decision workflows that combine data retrieval, machine learning, optimization, and business rules to automate decision-making processes.
• Comprehensive Data Connectivity: Connect to over 100 cloud data sources, including OneDrive, SQL Server on Azure, and the Common Data Service, ensuring models are informed by the latest data.
• Support for Open Standards: Embrace open standards such as DMN (Decision Model and Notation), FEEL (Friendly Enough Expression Language), and OData, promoting interoperability and ease of use.
• Scalable Cloud-Based Solution: Hosted on Microsoft Azure, RASON offers scalable performance capable of handling models with millions of variables and constraints, suitable for both small and large-scale applications.
• Seamless Transition from Excel Models: Leverage existing Excel models by converting them into RASON notation, facilitating a smooth transition to cloud-based deployment without rebuilding models from scratch.
• Advanced Model Management: Maintain multiple versions of models, designate champion and challenger models, and monitor usage, ensuring robust governance and continuous improvement of analytic solutions.
• Secure and Collaborative Environment: Utilize organization accounts with enhanced security features, enabling teams to collaborate effectively while maintaining control over access and model deployment.