22.09.2026
Is Your Data Ready for AI Agents?
AI data readiness is not a general characteristic of an organization. It must be assessed for a specific agent, process, and the set of sources on which its operation depends.
Altair RapidMiner
Data analytics and artificial intelligence platform
No matter how advanced your data projects are or what obstacles you face, Altair RapidMiner will help you overcome them. We offer a modernization path for existing data analytics teams, as well as an automation path for teams just starting out. Whichever path you choose, no radical change in your approach to people, processes, computing environment or existing data landscape is required.
Whether your organization needs an end-to-end data analytics platform or a point solution, Altair RapidMiner provides diverse teams with the right tools at the right time.
A unified, end-to-end data science platform
To better understand processes, customers and products, diverse teams must collaboratively generate and share data-driven insights across the organization. Altair's enterprise-ready data science platform is designed for a wide variety of specialties, from analysts and data engineers to business analysts and executives, to work in one unified environment.
Build data and machine learning pipelines with no-code or code-friendly environments. Increase confidence with interactive decision trees, model simulators and other easy-to-use features. Scale from desktops to on-premises servers as needed, securing multi-tenant cloud deployments. Easily deploy models and share insights where they will have the greatest impact on your organization.
Targeted, advanced data and analytics capabilities for your team
EXTRACT AND TRANSFORM YOUR DATA
To solve complex problems, you need to access data from multiple sources, including difficult, semi-structured data such as PDF files, spreadsheets, and text files. This raw data is rarely clean or completely accurate, so your team must transform it so it can be used in machine learning applications.
Whether your data is structured or unstructured, located on-premises or in the cloud, Altair solutions can automate preparation tasks and transform data into clean, accurate datasets in seconds – not hours or days. Replace boring, repetitive and error-prone tasks with value-added activities for greater business impact.
CREATE WORKFLOWS FOR DATA AND MACHINE LEARNING
Finding predictive signals in data requires experimentation and iteration. You need to quickly identify the best model for your business case and data, then easily refine the model and explain it to stakeholders.
With Altair RapidMiner's automated, visual and code-driven approach, whether you're just starting to learn about your data or you're already a pro, you can streamline your model creation. Altair machine learning solutions enable you to easily train, evaluate, explain and deploy predictive and prescriptive models using the latest techniques.
PROCESS AND DISPLAY YOUR DATA IN REAL TIME
Delays in decision-making generate additional costs in time-sensitive enterprises. Waiting for end-of-day reports means you're likely to miss opportunities in the meantime or fail to respond quickly enough to threats to operational efficiency, regulatory compliance or profitability.
Use Altair RapidMiner to detect anomalies, trends and outliers from real-time data in seconds and share results across your organization with rich and powerful dashboards. Altair's stream processing and data visualization solutions are designed for people who need to make fast, fully informed decisions based on massive volumes of rapidly changing telemetry, sensor and transaction data.
MODERNIZE YOUR SAS LANGUAGE ENVIRONMENT
Organizations that have invested in IP development using SAS for many years have a choice: whether they want to move to open source languages, choose the infrastructure that best suits their organization, or save on software costs.
Altair has solutions that enable you to maintain and run existing SAS language programs without the need for any third-party products. Write data-centric applications using the best programming languages for the task at hand, combining syntax from different languages in one program. Choose cloud, on-premises or hybrid infrastructure.
CREATE SMART PRODUCT ECOSYSTEMS
The Internet of Things (IoT) has enabled organizations to become more data-driven and automate data-dependent business processes. IoT devices combined with data science tools help analytics teams and stakeholders increase productivity, provide data analytics insights, and improve decision-making processes.
