Accelerators that compress months of build into weeks of value

MigrateFAST automates the end-to-end migration process—from legacy environment assessment and dependency analysis to report conversion, Data Analysis Expressions (DAX) generation, and validation. Organizations can migrate from Tableau, Cognos, SAP BusinessObjects, SAP Crystal Reports, MicroStrategy, Qlik, Alteryx, and Informatica with greater speed, accuracy, and confidence—reducing migration costs and accelerating time to value on Microsoft Fabric.

Fabric Admin Agent transforms Microsoft Fabric capacity management from reactive monitoring to proactive optimization. Using AI-driven insights, it detects anomalies, predicts demand, and recommends actions to prevent throttling, improve performance, and reduce costs. The result is a self-service administrative experience that enables platform teams to maximize Fabric investments while minimizing operational overhead.

AI Data Lens - Accelerate data-driven decision-making with natural language access to enterprise datasets. Users can ask questions and receive instant answers without technical expertise, while preserving row-level security, governance, and audit compliance.

EmbedFAST enables organizations to deliver embedded analytics faster and at scale. With role-based access control, unlimited tenant and workspace onboarding, and customizable experiences, it simplifies deployment, reduces licensing overhead, and helps users access insights directly within the applications they use every day.

LoadFAST gives organizations a scalable way to validate Microsoft Fabric and Power BI performance before deployment. By simulating concurrent users, measuring report and visual load times, and identifying performance bottlenecks, LoadFAST helps teams optimize reports, accurately size Fabric capacity, and deliver a consistent user experience with confidence.

CertyFAST helps organizations build and maintain high-quality Power BI semantic models. By automating error detection, DAX standardization, and documentation, it improves consistency, reduces development effort, and ensures adherence to modeling best practices.