UT Austin students turn newsroom monitoring frustration into live AI start-up
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BeatNews is helping two major-market television newsrooms track public records and agency updates, as its student founders prepare to expand the service across the US.
What began as a high-school frustration with the sheer volume of public records and agency notices journalists are expected to track has grown into a broadcast-focused artificial intelligence start-up with customers already using the product in live newsrooms. Shreyan Daulat, now a senior at the University of Texas at Austin, and co-founder Renil Gupta developed BeatNews after Daulat saw how much time assignment editors and reporters could lose simply trying to keep up with a flood of official updates. The company says its platform is built to watch public sources continuously, read new material as it appears and surface the most relevant developments for newsroom desks. According to BeatNews, that is intended to cut down on routine monitoring and give journalists more time to report and verify stories rather than search for them.
The proposition is aimed squarely at an industry where speed and coverage breadth are at a premium, particularly in broadcast newsrooms with lean staffing. BeatNews says it centralises oversight of government portals and local agency feeds into one stream, using AI to flag early signals and send alerts when something new emerges. The company adds that two major-market television newsrooms are already using the service, an indication that the product has moved beyond a classroom project and into operational use. Its founders are now looking to widen adoption across the United States once they complete their studies at UT Austin.
The wider context is a university environment that has been actively encouraging practical AI experimentation. UT Austin’s AI Studio says it provides students, faculty and staff with access to tools including ChatGPT, Claude and Microsoft 365 Copilot, alongside governance and support intended to make deployment secure and scalable. That ecosystem helps explain how a student-led idea could be tested and refined in a setting that links technical support to real-world applications. In journalism, similar products are appearing elsewhere too: SignalNews Austin, for example, says it uses AI to help with drafting, summarising and headline suggestions, while maintaining editorial review and labelling AI-assisted material for readers. BeatNews is part of that broader shift, though with a narrower focus on the assignment desk and the daily hunt for news leads.
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Source: Noah Wire Services · Original