Gudea raises $7 million to map emerging online crises
Gudea, an AI company focused on tracking how stories and rumours spread online, has raised $7 million in seed funding. The round was co-led by Mudita Venture Partners and Silicon Road Ventures, lifting the startup’s total funding to approximately $15 million. Gudea presented its approach on the Startup Battlefield stage at TechCrunch Disrupt 2026.
Founded in 2023 by Keith Presley, Jonathan Sperber and James Thomin, the company describes its product as a “storm tracker for the internet”. It is designed to help organisations identify potentially damaging online narratives before they become broader public crises.
From volume metrics to narrative pathways
Gudea contrasts its system with conventional social-listening tools that emphasise mentions, hashtags and impressions. Its AI is intended to analyse behaviour, relationships and the routes by which information travels, giving customers context on who is driving a conversation, how rapidly it is gaining traction and where it may move next.
The company says it monitors more than 500 mainstream and fringe websites and platforms, including X, Reddit and TikTok. Instead of only reporting an increase in posts, the platform aims to show the networks and distribution pathways behind that increase so decision-makers can judge whether and how to respond.
Presley said many communications, media and marketing leaders still rely on legacy tools built to count hashtags or impressions. Gudea’s premise is that reputation teams need a more proactive view of online activity, particularly when misinformation, hate speech or damaging rumours can accelerate from a small post into a wider controversy.
Generative AI changes the operating environment
Gudea emerged from work by the George Washington Initiative, a nonprofit established after the 2020 election. The team adapted approaches used by the intelligence community overseas to disrupt online networks, then applied them to domestic information campaigns. It concluded that available products did not adequately reveal how information moved among people, groups and platforms.
The company now has nearly 40 clients. Presley said they include a Fortune 50 telecommunications company, a Fortune 50 retailer, public-relations and crisis-communications agencies, government agencies, a large AI lab and a major band.
Presley linked the growing need for this capability to generative AI, which has lowered the effort and cost of producing content and coordinating online campaigns. He said that inauthentic activity appeared in roughly one in four cases the team examined in 2021 and 2023, compared with about nine in ten cases it now reviews.
Planned geolocation and pre-launch testing
Gudea plans to add narrative geolocation next year, with the stated goal of locating conversations down to the city-block level. It also wants customers to access more of the analytical capabilities behind its service. One example offered by the company is testing an advertising campaign through its AI model before launch to assess whether the strategy may produce a negative outcome.
For businesses, the immediate implication is that reputation monitoring may need to move beyond aggregate engagement measures. Understanding the actors, networks and pathways behind an emerging narrative can provide a firmer basis for deciding whether a response is needed.