About InfuseBI
InfuseBI automates data modeling, analysis, forecasting, and dashboard creation through a coordinated AI data team: Data Modeler, Analyst, Data Scientist, Composer, Dashboard Agent, and Designer. It builds checked, governed datasets from selected tables without SQL and records audit trails and versioned methods.
The Analyst decomposes changes into drivers with linked evidence, while the Data Scientist produces inspectable forecasts with uncertainty ranges and model comparisons.
Composer and Dashboard Agent generate charts, pivots, and full dashboards from governed data, and results can be published as reusable datasets with scheduled refresh. Connectors and an MCP marketplace enable ingestion from external apps and publishing approved datasets to AI agents under access controls.
Governance features include SSO, RBAC, row-level security, and LLM access controls, and embedded analytics support placing dashboards and the AI workspace inside applications with per-customer data isolation.
Key Features
Use Cases
Who is it for?
The Analyst decomposes changes into drivers with linked evidence, while the Data Scientist produces inspectable forecasts with uncertainty ranges and model comparisons.
Composer and Dashboard Agent generate charts, pivots, and full dashboards from governed data, and results can be published as reusable datasets with scheduled refresh. Connectors and an MCP marketplace enable ingestion from external apps and publishing approved datasets to AI agents under access controls.
Governance features include SSO, RBAC, row-level security, and LLM access controls, and embedded analytics support placing dashboards and the AI workspace inside applications with per-customer data isolation.
Key Features
- Automated AI-driven data workflows for data modeling, analysis, forecasting, and dashboard creation
- Builds governed datasets from selected tables without SQL, with audit trails and versioned methods
- Decomposes changes into drivers with linked evidence for explainable analysis
- Produces inspectable forecasts with uncertainty ranges and model comparisons
- Connectors and MCP marketplace for data ingestion and publishing to AI agents, with SSO, RBAC, row-level security, LLM access controls, and embedded analytics with per-customer data isolation
Use Cases
- Create accurate, explainable sales and demand forecasts using InfuseBI's no-code data modeling and explainable forecasting models, publish governed, versioned datasets for cross-team use, and embed interactive dashboards with row-level security for sales leaders and regional managers
- Develop automated root-cause and driver analysis for operational KPIs by connecting enterprise systems via built-in connectors, leveraging the Data Scientist and Analyst roles for evidence-linked analyses, and maintain auditable data lineage and versioning for compliance reviews
- Embed governed customer analytics into your SaaS product using InfuseBI's Composer and Dashboard Agent to deliver interactive, secured dashboards with row-level data security, inspectable forecasts, and centralized enterprise controls while keeping dataset governance and update pipelines no-code
Who is it for?
- Data analysts
- Data scientists
- Analytics engineers
- Bi developers / dashboard builders
- Business leaders / product managers
- Data engineers / platform engineers
- It / security & compliance officers
- Citizen analysts
- Embedded application developers
