[ Diverse opinions ]
[ 10x cheaper than traditional labelling ]
[ Real opinions, real people ]
[ Quality at quantity ]
[ Train better models faster ]
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Published
Every day, billions of people mindlessly tap past mobile ads. Every day, AI labs become increasingly desperate for the one thing they can't generate: a genuine human opinion
Datapoint AI connects these two broken markets. We replace ad units inside mobile apps with quick, Duolingo-style data labelling tasks — pairwise comparisons, rankings, preference signals — the exact format modern AI training runs on.
Users get a more engaging experience.
Publishers earn more per impression.
AI labs get diverse human preference data at a scale that no labelling workforce could ever match.
Timing matters. As AI works through every economic domain, human taste and judgment remain stubbornly subjective. However, the supply chain for quality human feedback is still stuck in the gig-work era. It is slow, expensive, and hard to scale. The solution is to embed the work into the attention infrastructure that already exists.
The next trillion data points won't come from a warehouse of annotators. They'll come from the phones already in everyone's pockets.
