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Apr 22, 2026
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NewDecoded
3 min read

Image by Gelu Sulugiuc
Financial News Systems (FNS) has closed a €1.5 million pre-seed funding round to accelerate the development of its fully automated, AI-driven financial newsroom. The investment round was led entirely by Nordic venture firm Ugly Duckling Ventures. This capital infusion will allow the Copenhagen-based company to double its headcount and expand its coverage of market-moving events across 9,000 global entities.
Founded by Reuters veterans Gelu Sulugiuc and Nicolai Pedersen, FNS utilizes specialized AI models trained in-house to extract data from primary sources. The platform operates without human editors or copy desks, delivering alerts to investment professionals in milliseconds. According to internal performance data, the system can process M&A announcements in just 13 milliseconds, providing a significant speed advantage.
CEO Gelu Sulugiuc stated that the new funding will help the team extract and publish a broader range of critical information. The platform aims to cover earnings, forecasts, and drug trial results alongside more niche data like wind turbine contracts. This focus on specialized data points allows the company to provide a comprehensive view of corporate activity in the U.S., Canada, and Europe.
FNS currently operates in cooperation with Dow Jones Newswire and incorporates consensus estimates from FactSet. These integrations allow the AI to automatically benchmark live corporate earnings against market expectations. By combining raw speed with high-quality data sources, FNS provides a timing edge typically reserved for the largest institutional traders.
The company offers its Pro Plan for $25 per month, which includes sub-second real-time alerts and an automated earnings calendar. As the firm scales, it plans to introduce tracking for IPOs and macroeconomic indicators. Investors can access the platform through a 30-day free trial to experience the millisecond-latency performance firsthand.
The success of this funding round highlights a structural change in how market intelligence is consumed by professional investors. By eliminating the manual editorial process, FNS is setting a new benchmark for speed that traditional news agencies struggle to match. This move toward specialized, in-house AI models suggests that the future of financial journalism lies in software-defined data pipelines rather than human reporting for routine corporate disclosures. This transition will likely force legacy media to pivot toward deep analysis while machines handle the initial extraction.
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