
Global Tech Leader | Startup Mentor | Venture Builder
Featured in Google’s Gemini Embedding 2’s global announcement, Sparkonomy is supercharging its Creator Genome to build a fairer creator economy. This “digital DNA” uses Gemini models to analyze video, audio, and text, matching creators to brands based on the real value of their work rather than just follower counts. The embeddings integration has reduced latency by 70% and allows Sparkonomy to index millions of video minutes, ensuring talented creators get the visibility and opportunities they deserve.

We have some exciting news to share. Sparkonomy was featured in Google’s latest global launch announcement for Gemini Embedding 2, a new AI model built to understand video, images, and text together.
For us, this is more than a proud moment. It is a step forward in something we care deeply about: helping creators get seen for the real value of their work.

Right now, the creator economy is not always fair. Brands often choose creators based on follower counts, views, or quick first impressions. That happens because finding the right creator is hard. No person can watch hundreds of videos, review endless posts, and compare every detail with perfect judgment. So people take shortcuts. And when they do, real talent often gets missed.
Creators are more than numbers. Every creator has a unique style, voice, and presence. Creators are inherently multimodal. Their work lives across video, audio, images, and text. That is why we built the Creator Genome.
Think of the Creator Genome as the digital DNA of a creator’s work. It helps us understand what makes each creator distinct. It looks at things like how a creator speaks, how they show up on camera, the style of their visuals, and the overall feel of their content.
Working with Google’s latest AI models helps us do this in a much better way. Gemini helps us understand these signals together, not one by one. That means we can see creators more fully and match them to opportunities with greater speed, precision, and fairness.
In our work so far, this has helped reduce latency by up to 70%. It has also improved how well we match content across text, images, and video. And it gives the Creator Genome the ability to index millions of minutes of video alongside images and text.
For creators, this means one simple thing: a fairer shot. A fairer shot at being discovered. A fairer shot at being matched with the right brands. A fairer shot at building a real business from creative work.
That is the future we are building at Sparkonomy. We call it an Economic Equality Engine for creators. The idea is simple. More creators should get real opportunities based on the substance of their work, not just the size of their numbers.
This is only the beginning, and we are excited for what comes next.
I am a tech leader and strategist based in Singapore. After 20 years working across Google, Microsoft, Samsung, and ABN AMRO, I now build and mentor at the edge of technology and new work. At Sparkonomy, I write about how smart systems and AI can complement creators by handling the friction so you can spend more time creating and still build a sustainable career.

Previously scaling billion-dollar businesses at:
Previously scaling billion-dollar businesses at: