The Connected Startup Episode 1: Papr

Every startup is born to solve a problem. The hard part is everything that breaks on the way there. The Connected Startup is our new monthly podcast about those roadblocks, and the founders who discovered a graph was the way through. Each episode traces one company's path from the wall they hit to what they could finally build once their data matched the shape of the problem. We ask every guest the same question: describe the moment you realized a graph was the right tool.
Our first guest is Shawkat Kabbara, founder and CEO of Papr, a context intelligence platform that gives AI agents long-term memory through a graph-native architecture built on Neo4j. Papr powers memory and retrieval for customers in fintech, commerce, healthcare, and insurance, turning unstructured data into queryable knowledge graphs via developer-friendly memory policies and a GraphQL API.
Shawkat walks through a before-and-after: 164 daily sales reports stuck as flat text, then the same data as a commerce graph an operator can query in real time. If your stack is straining against the questions you actually want to ask, this one's for you.
Join us live Thursday, June 18 at 12pm ET. We go live the third Thursday of every month, same time.

Видео The Connected Startup Episode 1: Papr канала Neo4j