1
Embedded AI Analytics
Integrate AI-powered analytics directly into customer-facing products with flexible APIs, SDKs, and multi-tenant architecture.
2
Governed AI Distribution
Maintain consistent metrics and enforce tenant-safe access with governed semantics, shared formulas, and row-level security.
3
Natural Language Querying
Enable users to ask questions in plain language and find insights without navigating complex dashboards or data structures.
4
AI-Powered Insights and Narratives
Automatically generate clear summaries, explanations, and forecasts to help users understand data changes and trends.
5
Multi-Environment Deployment
Deploy on SaaS, dedicated cloud, or on-premises with compliance features like HIPAA readiness and a 99.99% SLA.
6
Advanced Data Connectivity and Modeling
Blend complex, multi-source data with advanced connectivity options such as SSH and VPN, supported by hands-on modeling assistance.
7
White-Labeling and Customization
Fully brand the embedded analytics experience with white-labeling and extend functionality with custom plugins.
8
Developer Tools and Accelerators
Use Compose SDK to generate embed code, work across multiple frameworks, and accelerate development with custom plugins.
