From EdTech to AI Advertising: How Omneky Applied Early Lessons in Personalization to Scale
Success in technology often comes from recognizing patterns across seemingly different markets. In a recent episode of Category Visionaries, Hikari Senju revealed how his experience building an EdTech startup shaped Omneky’s approach to AI-driven advertising.
The EdTech Foundation
Before founding Omneky, Hikari built an education technology company that tackled a fundamental challenge in learning: personalization at scale. “It was actually a chat interface where it would connect students with tutors and help answer questions regarding their math homework and other kinds of homework,” he explains.
The core problem was matching content to individual needs: “The application there and the problems were solving there was about personalized learning. How do you connect the right students to the right tutors? How do you create content or create coursework that is compelling and interesting for, based on different students backgrounds and their learning styles?”
The Advertising Parallel
This experience led to a crucial insight about digital advertising: “In many ways, advertising is education at scale,” Hikari notes. The parallels between personalized education and targeted advertising became clear as he moved into marketing leadership at the company that acquired his EdTech startup.
Running marketing operations revealed a universal challenge: “Advertisers have this insatiable desire in appetite for content, tell better personalized stories regarding all the different SKUs that an advertiser may have, and also regarding all the different audiences they may be targeting and across all the different platforms.”
Translating Lessons to New Markets
Three key principles from EdTech shaped Omneky’s development:
- Data-Driven Personalization Just as educational content needed to adapt to learning styles, advertising content needs to adapt to audience preferences. Omneky uses “computer vision and other kind of reverse album engineering to modify the designs of ads, what kind of keywords, what kind of visual elements are in the ad.”
- Feedback Loops Educational platforms improve through student feedback. Similarly, Omneky built systems where “customers can then provide feedback on through our workflow tool. And then that’s human feedback, that then if the ad isn’t good enough, they can provide human feedback on the platform.”
- Automated Distribution Like connecting students with the right tutors, Omneky automates content distribution: “The moment they approve the ad, it gets automatically launched across all the different platforms that they want to launch their ads against.”
Evolution of the Vision
The company’s vision has evolved beyond simple content generation. Drawing from his EdTech experience of creating comprehensive learning environments, Hikari sees Omneky becoming a complete platform for business growth: “We’ll generate the content, we’ll do the media buying. We’ll eventually generate landing pages using the data that the database we have.”
This comprehensive approach stems from understanding that both education and advertising require coordinated touchpoints: “We’re going to generate personalized experiences, omnichannel, and also cross funnel powered by data to help these businesses, these entrepreneurs, achieve their vision.”
Looking Forward
The parallels between education and advertising continue to inform Omneky’s development. As AI enables more personalized experiences, Hikari sees an opportunity to empower a new generation of entrepreneurs: “We’re going to see the explosion of single person entrepreneur. We’re going to see single people, companies become unicorns.”
For founders building in emerging markets, Omneky’s journey demonstrates the value of applying lessons across industries. Success often comes not from inventing entirely new solutions, but from recognizing how existing principles can solve problems in new markets.
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