Flowing Bee, an AI-driven behavioral insights platform revolutionizing marketing strategy and execution, has secured $1.6 million in a pre-seed funding round. The investment was led by Archangel Ventures, with participation from The University of Melbourne Genesis Pre-Seed Fund, Antler, LaunchVic’s Alice Anderson Fund, M8 Ventures, and strategic angel investors. The funding will drive team expansion, customer acquisition in Australia and the U.S., and the advancement of Flowing Bee’s behavioral insights engine and automated campaign creation capabilities.
Founded by behavioral scientist Michael Sankey and former Formula 1 simulation engineer Sara Khorasani, Flowing Bee applies AI and behavioral science to streamline marketing decision-making. Sankey, the company’s CEO, emphasized that brands waste billions on ineffective campaigns due to a failure to activate the psychological drivers of consumer behavior. He stated that Flowing Bee’s platform bridges this gap, combining behavioral insights with AI to deliver high-performing campaigns at scale. He described the company’s mission as eliminating the guesswork from marketing, starting with enterprises and eventually making the technology accessible to small and medium-sized businesses worldwide.
The martech startup already serves ASX-listed companies, addressing an industry where an estimated $600 billion is lost annually on ineffective marketing communications. M8 Ventures partner Emily Rich highlighted that Flowing Bee represents a fundamental shift in how brands understand and engage their audiences, offering insights that traditional marketers rarely access. She noted that the company’s fusion of behavioral science and AI enables marketing campaigns that genuinely resonate with customers.
Genesis Pre-Seed Fund CEO Hun Gan underscored the importance of investing in university-born startups that translate groundbreaking research into commercial impact. He described Flowing Bee’s behavioral AI technology as an example of how academic innovation can shape the future of marketing. He also emphasized that early-stage investments like this help bridge the funding gap for emerging AI companies, ensuring that cutting-edge research evolves into market-ready solutions.
