Gudea has secured $7 million in seed funding to help companies forecast which online narratives will spread widely and identify who's pushing them, the Minneapolis-based startup announced. Mudita Venture Partners and Collide Capital jointly led the round, bringing the company's total capital raised to approximately $15 million since it launched in 2023. The startup positions itself as a "storm tracker for the internet," mapping how information flows across people, communities, and platforms to anticipate when stories will explode, how far they'll reach, and when they'll disappear.
Gudea's revenue has climbed 357% year over year, according to co-founder and CEO Keith Presley. The company currently serves 39 customers, including major AI firms and businesses in telecommunications, entertainment, and retail, though it won't name them due to the sensitive nature of its work. The startup operates with roughly 25 employees and monitors over 600 social media platforms. It traces its origins to the George Washington Initiative, a nonprofit that repurposed intelligence community tactics originally used to combat online Al Qaeda and ISIS networks for domestic information campaigns.
"We don't need to know what we're looking for to find it, so we can find all of those good or bad narratives before you know what keywords you should be searching for," Presley told Crunchbase News. The company examines whether accounts showing unusual behavior are driving conversations and tracks how narratives migrate from obscure online communities into mainstream platforms. According to Georgia Paul, Gudea's director of client experience, the startup's analysis of online claims linking Taylor Swift to Nazism around an album release revealed the narrative was being manipulated. The company says its work has also covered cases involving corporate espionage and stock market manipulation.
The startup emerged as a commercial entity after the team examined backlash surrounding Bud Light's marketing campaign with actor Dylan Mulvaney and discovered the critics used the same information pathways that had carried COVID disinformation. That realization—that patterns were repeating and applications extended far beyond disinformation—prompted the 2023 spinout. Gudea uses deep learning, including graph neural networks, to analyze behavior patterns, which Presley describes as "like fingerprints," then employs a large language model to summarize findings. The company sells its software through alerts, platform access, and automatically delivered reports, with the latter designed for senior teams unlikely to log into a platform themselves. Buddy Foster, an investor at Mudita Venture Partners, notes that most competing tools are "reactive and surface-layer," whereas Gudea models how information moves to spot problems before anyone knows to search for them.
The startup plans to use its fresh capital to grow its team, build new features, and expand coverage across platforms, languages, and regions. Its initial commercial focus has been reputational risk management—helping large businesses catch potentially consequential stories before they spread widely—but the technology can also identify positive trends companies might exploit. Presley frames the broader mission as making the mechanisms behind online information more transparent, noting that people are making real-world decisions based on what they see online, and not all of that information is authentic. For businesses navigating an environment where brand damage now originates in the internet's fringe corners and builds momentum before reaching headlines, the ability to see what's coming before it becomes a crisis could prove essential. As synthetic content and coordinated campaigns grow more sophisticated, companies may increasingly need to choose between investing in predictive intelligence or accepting the reputational risks that come with staying reactive.