Supernova AI
No-code analytics platform enabling businesses to connect, explore, and visualize data from 500+ sources without SQL or technical expertise.
What is Supernova AI?
Supernova AI (formerly Canvas) is a no-code analytics platform designed to democratize data access across organizations. It eliminates the need for technical teams or extensive engineering resources by allowing non-technical users to connect data from hundreds of business applications and databases, perform complex analysis through intuitive interfaces, and create actionable business dashboards. The platform combines a spreadsheet-like experience with enterprise-grade data warehousing capabilities, enabling teams to ask questions of their data and visualize insights in minutes rather than weeks. Whether starting with individual SaaS tools or leveraging an existing data warehouse, Supernova AI scales from early-stage startups to established enterprises seeking to build a data-driven culture.
Compare with Alternatives
| Feature | Supernova AI | Upsolve AI | Microsoft Power BI | Datagran |
|---|---|---|---|---|
| Rating | 0.0 | 0.0 | 0.0 | 0.0 |
| Pricing | Paid | Paid | Paid | Paid |
| Starting From | — | — | — | — |
| API | — | — | — | — |
| Free Tier | — | — | — | — |
| Mobile App | — | — | — | — |
Who is it for
Revenue Operations & Financial Analytics
Finance teams reconcile multi-source transaction data across Stripe, PayPal, QuickBooks, and databases to gain unified views of revenue, customer metrics, and cash flow without manual spreadsheet work.
Business Intelligence for Startups
Founders and operators build comprehensive dashboards tracking CAC, churn, runway, and ARR using pre-built templates, eliminating the need for dedicated data engineering resources during early growth stages.
Marketing & Performance Analytics
Marketing teams consolidate data from multiple ad platforms and CRM systems to analyze campaign performance, customer acquisition costs, and ROI across channels in unified dashboards.
Product & User Analytics
Product teams analyze user behavior, product usage patterns, and feature adoption by connecting product analytics platforms, databases, and CRM data to make data-driven product decisions.
Cross-Functional Team Collaboration
Teams across sales, operations, and engineering access shared, live dashboards with filters and explore data collaboratively without waiting for analyst support, accelerating insight velocity.