Financial News Systems
AI news platform whose specialized models turn company press releases and filings into market-moving headlines in milliseconds, for traders and analysts.
What it is
Financial News Systems (FNS) is a Copenhagen-based AI startup founded in 2024 by Gelu Sulugiuc and Nicolai Bjerre Pedersen, who previously co-founded PLX AI (acquired by Thomson Reuters in 2022). FNS trains its own specialized models to read press releases and regulatory filings from 9,000+ companies across the US, Canada and Europe, publishing headlines in 100 to 150 milliseconds. Individuals get a $25-a-month Pro plan, institutions get custom structured data feeds, and a Dow Jones Newswires partnership puts FNS headlines on Bloomberg, LSEG and FactSet terminals.
Who it's for
Day traders, algorithmic traders, family offices, wealth managers and equity analysts who need market-moving company news before the market prices it in.
Why it's better
- •Specialized models built for one job, faster and cheaper at scale than general-purpose LLMs.
- •Headlines land in 100 to 150 milliseconds, beating legacy terminals on earnings releases.
- •Accuracy above 99.8%, with error rates around 0.13 to 0.18% on recent months.
- •Structured data feeds let algorithmic traders act on news automatically, with no human in the loop.
- •A $25-a-month Pro plan puts institutional-speed news within reach of individual traders.
Heard on AI for Founders
Financial News Systems was featured in an episode of the AI for Founders podcast. Hear the full conversation.
Listen to the EpisodeRelated Tools in Data
Explore more AI tools for founders
Browse All Tools