Case Study: v2 Ratings achieves ultrafast, accurate fundamental company ratings with Xignite Financials API

v2 Ratings - Customer Case Study

v2 Ratings is a Boston/New York startup (founded 2014) that built a machine‑learning platform to deliver fast, bias‑free fundamental relative value ratings for institutional investors. Their challenge was ingesting and pre‑processing vast, disparate financial data—with high quality, low latency and low cost—so their models could support split‑second trading decisions without falling prey to “garbage in/garbage out.”

v2 solved this by integrating XigniteFinancials’ cloud APIs (300+ financial data points) into their ratings engine—an integration completed and moved to production within 24 hours. The result: reliable, real‑time (and delayed free) ratings delivered via API and web/mobile, broad syndication to major finance outlets and social platforms, and measurable improvements in speed, accuracy and product scalability.

v2 Ratings