What is SAS Viya?

SAS Viya is a unified AI and analytics platform that connects data ingestion, model development, governance and deployment in a single environment. It provides data management with lineage and auditability across sources and supports cloud, hybrid and on-premises deployments.

Modeling capabilities include automated machine learning, statistical modeling, computer vision, forecasting and optimization with both visual and code-based interfaces for developers and analysts. Governance features offer explainability, fairness testing, bias detection, model versioning and policy enforcement to support regulatory compliance and audit trails.

Deployment supports real-time decisioning, business-rule integration and MLOps workflows, with APIs and connectors for Python, R, Java and REST for embedding models into applications. SAS Viya addresses needs of data scientists, ML engineers, analysts and regulated industries (finance, healthcare, public sector) seeking scalable model operationalization, explainable AI and cross-team collaboration.

SAS Viya pricing Free trial

SAS Viya offers a free trial before requiring payment.

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SAS Viya's key features

Unified platform uniting data, analytics and governance in one environment
Data management: connect to any data source with governance, lineage and auditability
Explore & model: full-scale data mining, automated ML, computer vision, forecasting and optimization with visual and code-based interfaces
SAS Viya Copilot and MCP Server: AI assistants and agent integration for data and AI tasks
Deployment & operationalization: embed intelligence into workflows with business rules, real-time event detection and decision governance; deploy across cloud, hybrid, and on-premises

SAS Viya use cases

Build and deploy production-grade real-time fraud detection pipelines using SAS Viya's data ingestion, AutoML and real-time decisioning, exposing low-latency scoring via APIs and managing lifecycle with MLOps for continuous monitoring
Develop compliant, explainable credit-risk models with SAS Viya by leveraging automated machine learning, explainability and bias detection, while applying model governance and audit trails for regulatory reporting and hybrid/cloud deployment
Create predictive maintenance solutions by ingesting IoT telemetry into SAS Viya, using AutoML to surface high-performing models, validating explainability and bias, and deploying through MLOps and APIs for real-time factory decisioning