Case Study: Raylu achieves 8x faster AI investment research with Bright Data

A Bright Data Case Study

Preview of the Raylu Case Study

Raylu cuts market research from 2 hours to 15 minutes with Bright Data

Raylu, an AI dealflow platform for private market investors, faced significant challenges scaling their web access infrastructure. Their existing setup could not support the high concurrency needed for real-time, agentic AI research, causing research delivery times to slow down drastically. This fragmentation also limited their data coverage and threatened their ability to meet enterprise SOC 2 compliance requirements. The company turned to vendor Bright Data for a solution.

By implementing Bright Data's services, including live scraping and prebuilt datasets, Raylu overhauled its web access layer. The results were substantial: market research delivery time was cut from 2 hours to just 15 minutes, an 8x improvement. Bright Data's infrastructure also enabled concurrency to scale from hundreds to hundreds of thousands of sessions and doubled the platform's core data sources, allowing Raylu to reliably serve its growing enterprise client base.


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