Case Study: Graph AI scales graph AI development and production with thatDot’s Quine streaming graph

Graph AI builds production graph AI on a 2 min read with thatDot

Graph AI, an organization developing graph-based artificial intelligence techniques, faced a significant challenge. While graph AI promised major advances, the company found that production graph data pipelines lacked the performance needed to deploy these new tools at scale, hindered by the limited scaling performance of existing graph databases.

To solve this, Graph AI turned to thatDot and its Quine streaming graph platform. This solution provided a single environment for both developing graph AI techniques and deploying them on high-volume data streams. The platform allowed data scientists to define data ingestion, transformation, and AI logic—via Cypher queries, User Defined Functions, or standing queries—in the lab and then migrate those operations directly to production, enabling scalable deployment.

Graph AI