What is Upsolve AI?
Upsolve AI is an embedded business intelligence tools platform that lets SaaS companies add analytics and dashboards directly into their products. Instead of sending users to external BI platforms, Upsolve AI keeps analytics inside the host application. End users get self-serve access to charts, reports, and dashboards without switching tools or waiting on internal teams.
Features & Benefits
- Self-serve dashboard builder – Give end users a point-and-click interface to build and customize their own charts and dashboards independently
- AI charting – Generate charts and visualizations by asking Upsolve AI a question in natural language
- SQL + AI query builder – Write SQL manually or let AI generate queries against connected data sources
- Pivot tables, filtering, and drill-down – Access advanced data exploration features out of the box without additional configuration
- Chart templates and marketplace – Save custom charts as reusable templates and share them across customer accounts
- Multi-tenancy and RBAC – Inherit existing role-based access controls and tenant isolation rules directly without additional engineering
- Embeddable dashboards – Deploy analytics via React components or iFrame into any part of a SaaS application
- White-labeling and private-labeling – Apply custom CSS or use the built-in Dashboard Designer to match the host product’s design system
- Dashboard version control – Update layouts, charts, and filters after deployment without redeploying the application
- Real-time data refresh – Support push and pull-based data refresh mechanisms for near real-time dashboard updates
- Multi-dashboard embedding – Embed different dashboards across different user roles, routes, or feature areas within one application
- Broad data source connectivity – Connect to relational databases, NoSQL stores, cloud data warehouses (Snowflake, ClickHouse, AWS, GCP, Azure), SaaS tools, and custom APIs
- API-first data plane – Use the Upsolve API to build custom data connections beyond pre-built connectors
Real-World Applications
Product teams at SaaS companies can use Upsolve AI to ship customer-facing analytics without building a data visualization layer from scratch. A supply chain platform, for example, might embed role-specific dashboards for warehouse managers and logistics coordinators, each seeing only the metrics relevant to their function. This removes the need for users to export data into external business intelligence tools and reduces back-and-forth with customer success teams.
FinTech and healthcare platforms that serve users with varying levels of data fluency may benefit from Upsolve AI’s self-serve workspace. Non-technical users can build their own reports using the point-and-click interface, while power users can write or generate SQL queries directly. This kind of embedded BI capability can help platforms increase perceived product value without additional engineering overhead.
Marketing analytics platforms and product-led SaaS tools can use Upsolve AI to let customers explore their own performance data in real time. Rather than waiting for scheduled reports, users can filter, drill down, and pivot data inside the product. Teams looking to offer customer data analytics tools as a native product feature — not a bolt-on — can deploy embeddable dashboards in a single day using the drag-and-drop builder.
Businesses evaluating embedded analytics platforms for multi-tenant environments may find Upsolve AI’s access control inheritance useful. Because the platform adopts existing permission structures automatically, engineering teams avoid rebuilding authorization logic. This makes it practical for enterprise SaaS products that need to isolate data by customer account while still offering flexible, self-serve business intelligence tools across their user base.
