Case Study: spyne achieves faster embedded analytics and AI chatbot capabilities with Cube Dev

Embedded Analytics and AI Chatbot on one semantic layer

spyne, a SaaS business operations platform based in Paris, needed a way to give publishers, agencies, and marketers fast, fully customized embedded dashboards inside its own product. The team wanted complete control over the visual experience, better performance on Google BigQuery, and a simpler way for customers to explore campaign data without writing complex SQL.

Cube Dev provided Cube Cloud as the semantic layer and query acceleration engine behind spyne’s embedded analytics. With pre-aggregations, caching, multi-tenant security, and API-driven query generation, spyne launched custom dashboards and an AI chatbot on the same data model. The result was BigQuery query performance improved from seconds to milliseconds, faster rollout of spyneAI, and a scalable foundation for both analytics and natural-language insights.

spyne

Patrice Navarre

CTO and co-founder