Contextual AI with Graph Studio

RapidMiner Graph Studio transforms fragmented data into intelligent knowledge graphs, federating cross-domain information with semantic ontologies. This provides AI agents with contextual understanding that traditional databases cannot deliver, enabling more sophisticated reasoning and automation.

Business outcome: Enables more accurate and context-aware AI applications by connecting disparate data sources into a unified semantic layer.

Democratized Data Science with AI Studio

RapidMiner AI Studio provides a visual drag-and-drop interface for designing explainable AI and machine learning models. It leverages AutoML tools and integrates generative AI capabilities, allowing a broader range of employees to build trusted models.

Business outcome: Reduces reliance on specialized data scientists, accelerating the development and deployment of ML models across the business.

Modernize Analytics with SLC

RapidMiner SLC runs existing SAS language programs without translation or third-party licenses. This allows organizations to combine SAS, Python, R, and SQL seamlessly, modernizing their analytics stack at a reduced cost while maintaining productivity.

Business outcome: Preserves the value of legacy SAS investments while enabling a transition to a more modern, unified analytics platform.

Self-Service Data Preparation with Monarch

RapidMiner Monarch allows users to prepare, transform, and cleanse data from PDFs, spreadsheets, databases, and cloud sources without coding. It leverages 80+ pre-built functions and builds trust with auditable histories and clear data lineage.

Business outcome: Empowers business users to handle their own data preparation, freeing up IT and data engineering teams for more complex tasks.

Real-Time Data Visualization with Panopticon

RapidMiner Panopticon provides comprehensive data visualization and streaming analytics for fast-paced industries. It enables the building and deployment of sophisticated applications that connect to diverse data sources for real-time decision-making.

Business outcome: Delivers real-time operational intelligence, allowing businesses to react instantly to changing conditions and market dynamics.

Explainable Machine Learning with Knowledge Studio

RapidMiner Knowledge Studio brings clarity to data with highly explainable decision and strategy trees within an intuitive visual interface. It allows users to create predictive and prescriptive models interactively, ensuring both performance and business sense.

Business outcome: Ensures models are not just accurate but also understandable, which is crucial for regulatory compliance and stakeholder trust.

• Unified AI PortfolioCombines knowledge graphs, ML, and GenAI in one platform, eliminating the need for multiple point solutions.
• Legacy SAS ModernizationRuns existing SAS code without translation, protecting past investments and reducing migration risk.
• Explainability & GovernanceEvery model is auditable and every insight traces back to source data, ensuring defensible decisions.
• Enterprise ScalabilityProduction-hardened for complex enterprise environments, with the depth to grow with the business.

• Opaque PricingNo public pricing information makes it difficult to assess cost-effectiveness without a sales call.
• Enterprise FocusThe platform's complexity and scale are likely overkill for small businesses or individual analysts.
• Implementation EffortDeploying the full portfolio may require significant integration and change management effort.
• Professional RealityThe primary value is for large enterprises with complex data landscapes and legacy SAS investments; smaller teams may find the platform too heavy and costly.

Financial Services Modernization

A bank can use RapidMiner SLC to run its existing SAS risk models while gradually adopting new ML models in AI Studio, all within a governed, auditable platform.

Healthcare Knowledge Graphs

A healthcare provider can use Graph Studio to connect patient records, research data, and operational metrics, enabling AI agents to provide more contextual and personalized care recommendations.

Manufacturing Predictive Maintenance

A manufacturer can use AI Studio to build models that predict equipment failures from sensor data, while Panopticon provides real-time dashboards for operators to act on those predictions.

Retail Customer 360

A retailer can unify transactional data, customer feedback, and supply chain information to build a comprehensive customer view, enabling more effective marketing and inventory management.

Assess your current analytics stack and identify legacy SAS or R assets that need modernization.

Contact RapidMiner sales to request a demo and a custom pricing quote tailored to your needs.

Start with a pilot project in one business unit to demonstrate value and build internal support.

Use AI Studio to build your first model with your own data, leveraging AutoML to accelerate the process.