Universal Intelligence
Connect your data. Build once. Run anywhere.
A complete data intelligence platform that connects any data source, automatically maps it into one shared set of business concepts, and lets you query across all of them — from built-in dashboards, from SQL, or in plain English through an AI assistant. Zero vendor lock-in.
How It Works
Connect Any Data Source
Automated connections to SaaS applications, databases, and data warehouses. Salesforce, HubSpot, Snowflake, BigQuery, PostgreSQL, and more — all with secure OAuth or credential-based authentication.
Intelligent Data Mapping
Automatically maps your data using intelligent pattern recognition. No manual ETL required. Review confidence scores and approve mappings with one click.
Visualize Anywhere
Import existing Power BI, Tableau, Looker and SSRS dashboards with their formulas translated automatically. Your measure logic exports back out as DAX, LOD or SQL — never trapped here.
How We Compare
Traditional BI platforms charge premium prices, lock you into their ecosystem, and still require you to manage data connections, mapping, and infrastructure separately.
| Feature | Competitor BI Enterprise BI Suite | Competitor T Visual Analytics Platform | Competitor L Cloud Analytics Platform | Universal Intelligence Complete Platform |
|---|---|---|---|---|
| Price | $20/user/mo | $75/user/mo | $5,000+/mo | $4.99–$12.99/user/mo |
| Built-In Connectors | Limited (requires separate ETL) | Moderate (many require manual setup) | Requires data engineering team | Built-in (OAuth + credentials) |
| Vendor Lock-In Free | ||||
| Dashboard Import | ||||
| Export Measure Logic | DAX / LOD / SQL | |||
| Intelligent Data Layer | Proprietary | Partial | Custom modeling language | Built-in |
| Managed Infrastructure |
7-day free Pro trial.
Frequently Asked Questions
Universal Intelligence provides a complete, end-to-end Infrastructure as a Service (IaaS) for business intelligence — the kind of integrated analytics platform that was previously only accessible to large enterprises with dedicated data engineering teams and six-figure budgets.