Earlier this year, three founders set out on a mission to reimagine how generative AI can support marketing teams in creating content and bring together a marketing landscape long fragmented by specialized tools. Elaine Zelby, Honglei Liu, and EJ Cho recognized that too many marketing applications each addressing a narrow part of a campaign had led to inefficiencies, siloed data, and ultimately, inconsistent messaging.
Over the past decade, teams have been forced to juggle separate tools for emails, ads, landing pages, and much more. This division not only makes it harder to maintain a cohesive brand voice but also strains lean marketing teams tasked with meeting ever-higher goals. With the advent of large language models (LLMs), the founders saw an opportunity to help teams create content at scale while easing the burden of manual processes. And that’s how Tofu was born—named after “Top of Funnel,” a marketing term representing the stage where potential customers first engage with a brand or product.
A Platform Built to Do More With Less
Tofu’s solution is simple in concept yet broad in its application. The platform is designed to create, execute, and measure hyper-personalized campaigns at scale. Whether it’s generating thousands of account-specific emails for ABM campaigns or tailoring whitepapers to address the concerns of 20 different industries, Tofu’s approach is built on the idea of putting targeted campaigns on autopilot. This allows marketing teams to focus on core messaging and strategic decisions rather than being bogged down by repetitive tasks.
