Case Study: RavenPack achieves real-time, low-latency news analytics at scale with Franz Inc.

RavenPack - Customer Case Study

RavenPack, a leading provider of real-time news analysis for financial firms, faced the challenge of converting massive amounts of unstructured news into actionable, low-latency signals across more than 28,000 publicly traded companies. To meet demanding requirements for speed, accuracy and high availability, RavenPack turned to Franz Inc. and its Allegro Common Lisp platform to power its processing and delivery stack.

Using Franz Inc.'s Allegro Common Lisp, RavenPack built a sophisticated system that elementizes news into 100% computer-readable records with multiple sentiment, relevance and novelty measures and automatic detection of over 300 market-moving event categories. The Franz Inc. solution delivers millisecond real-time feeds, supports over 10 years of millisecond-timestamped back-testing data, and has provided the continuous 24/7 uptime RavenPack reports for more than seven years—enabling clients to react faster and improve investment decision-making.

RavenPack

Jason Cornez

Chief Technology Officer