Case Study: Moonnox launches secure embedded BI and AI agent impact metrics with Upsolve AI

How Moonnox uses Upsolve AI to Embed Business Intelligence in its platform for AI Agent Impact Metrics

Moonnox, an AI-native professional services automation platform, sought to quantitatively demonstrate its platform's impact to clients. They faced a significant technical challenge, as their complex, multi-dimensional security model built in PostgreSQL would typically require months of engineering work to replicate in an analytics solution. They needed a seamless way to provide secure and customizable analytics for each customer.

Upsolve AI provided a solution that seamlessly integrated with Moonnox's existing security, inheriting their PostgreSQL row-level security to eliminate the need for rebuilding permissions. This allowed Moonnox to deploy fully embedded and customizable business intelligence to production in under four weeks, a process that would traditionally take 3-4 months. This accelerated their time-to-market, eliminated thousands of lines of code, and enabled them to clearly prove their platform's ROI to customers.

Moonnox

David Cotten

Chief Technology Officer