Case studies
How teams deliver Graph + AI solutions with GraphGrid
Real-world results from data & analytics teams that used GraphGrid to connect data across silos and ship graph-enhanced AI solutions in weeks instead of years — with their existing teams and skills.
Featured case studies
How to Hunt a Cheat: Knowledge Graphs vs. Fraud & Noncompliance
A bureau of the U.S. Department of the Treasury used connected data to recover millions in unpaid funds, eliminating up to 90% of the time analysts spent on each case.
A Knowledge Graph-Backed Telemedicine API in Just Eight Weeks
A telemedicine provider went from concept to a live, knowledge graph-backed API in eight weeks, saving time and engineering effort with GraphGrid.
Common threads
Across these engagements the pattern is consistent: existing relational data and unstructured text are modeled as a knowledge graph, GraphGrid's core services (search, NLP, change data capture) are composed into a solution, and the customer's own developers and analysts take over — using standard APIs and SDKs in languages they already know. The result is a reusable Graph + AI foundation rather than a one-off project.