From Reuters to AI startups: Automating Financial News with Google Cloud episode artwork

EPISODE · May 27, 2026 · 44 MIN

From Reuters to AI startups: Automating Financial News with Google Cloud

from Cloud Do You Do? · host Stepan Kaiser, Revolgy, Financial News Systems, Gelu Sulugiuc

Can a machine beat a Wall Street journalist to the punch? In this episode of the Cloud Do You Do podcast, Revolgy’s Štěpán Kaiser sits down with Gelu Sulugiuc, a former financial journalist for Bloomberg and Reuters who traded the newsroom for the startup world. Gelu shares his incredible journey from growing up in communism to building and successfully selling his first AI startup, PLX AI, to Thomson Reuters. Today, he’s building his next company on Google Cloud. His team creates custom tools that scan financial reports and catch the big news the second it drops. In this episode: Why building specialized, in-house AI models is more accurate and cost-effective than relying on massive LLMs like Claude. How automation is freeing up journalists to do real investigative work. The future of algorithmic trading for everyday investors. Plus, a hilarious story about Gelu’s first day working in Denmark. We are Revolgy - a global cloud partner. Our cloud engineers and architects provide professional and managed services for your projects on GCP and AWS. In a nutshell, we help to make life digital-native companies, SMBs and corporates in the cloud easier. Check our website revolgy.com for more information.Make sure to follow Revolgy on Spotify, Linkedin, and X.Thanks a lot for listening, and see you next time!

Episode metadata supplied by the publisher feed · Published May 27, 2026

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Join former Reuters journalist Gelu Sulugiuc as he shares his journey from the newsroom to building cutting-edge AI startups that automate financial news. Learn how his team leverages Google Cloud to create specialized AI models that extract complex market data faster and more accurately than standard LLMs.

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From Reuters to AI startups: Automating Financial News with Google Cloud

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