Blackbird.AI raises $28M as misinformation defence becomes an enterprise priority
What's the deal? Blackbird.AI has raised $28 million in a strategic funding round to scale its AI-driven platform that detects and counters misinformation and narrative attacks. The round was led by Ten Eleven Ventures and Dorilton Ventures, with participation from existing investors, as the New York-based company targets enterprise, government, and national security clients.
The startup says it is seeing strong traction, reporting 118% year-on-year annual recurring revenue growth and a threefold increase in customers. Blackbird.AI positions its product as “narrative intelligence,” analysing how false or harmful stories spread online and helping organisations respond in real time.
Why now? The funding comes as misinformation risks move higher on corporate and government agendas, driven by elections, geopolitical conflict, and the wider use of generative AI. Companies and public bodies are under pressure to protect executives, brands, and institutions from coordinated influence campaigns that can escalate quickly.
Blackbird.AI is also moving upmarket. The company says recent customer wins include large global enterprises and public sector organisations, increasing demand for more scalable and automated tools.
What could go wrong? The market for misinformation and threat intelligence is becoming crowded, with established cybersecurity firms and new AI-native startups chasing the same buyers. Selling to governments and large enterprises also means long sales cycles and high expectations around accuracy, transparency, and compliance.
There is also reputational risk. Tools that monitor narratives and online behaviour must balance security needs with concerns around privacy, free speech, and misuse.
The signal: The round highlights how narrative risk is becoming a core part of enterprise security, not a niche communications problem. Investors are betting that misinformation defence will sit alongside cyber and physical security as a standard budget line.
It also reflects a broader shift toward specialised AI platforms that focus on high-stakes use cases, where customers are willing to pay for precision and speed rather than generic AI tools.
Sources:
PRN
Axios
AI Insider
A.M.
