Case Study: Sardine prevents fraud and cuts costs with Sigma Computing

How this AI startup uses Sigma to prevent fraud

Sardine, an AI startup focused on real-time fraud prevention, needed a faster way to make critical risk data accessible across customers, analysts, and operators. Before using Sigma Computing, the team was dealing with siloed data providers and applications, making it difficult to quickly find the right information when fraud threats appeared.

With Sigma Computing’s embedded analytics and easy-to-use BI platform, Sardine was able to surface fraud signals directly inside its own app, support regional data separation, and empower more employees to self-serve insights without heavy reliance on the analytics team. The impact included a reported $120,000 in annual cost savings, plus better visibility into query costs and stronger tools for tuning machine learning models and supporting future AI-driven workflows.

Sardine

Mike Ward

Senior Risk Data Analyst