Introducing Datapoint AI

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.

Why this matters now

The demand for human preference data is exploding. Every major AI lab is racing to align their models with human values, and that requires massive amounts of diverse feedback. Traditional approaches can't scale fast enough.

The old way

1. Hire contractors through gig platforms
2. Train them on specific annotation tasks
3. Monitor quality through expensive QA processes
4. Scale linearly with headcount

The Datapoint way

1. Tap into existing mobile attention
2. Make labelling feel like a game, not work
3. Built-in quality through redundancy and consensus
4. Scale exponentially with distribution

What we're building

Our platform transforms idle moments into valuable data collection opportunities:

• Pairwise comparisons: "Which response is better?"
• Ranking tasks: "Order these from best to worst"
• Preference signals: "Rate this on a scale"
• Classification: "What category does this belong to?"

Each interaction takes seconds but generates the exact signal format that modern RLHF pipelines need.

Join us

We're looking for partners across the ecosystem:

• Publishers who want to increase engagement and revenue
• AI labs who need diverse, high-quality preference data
• Researchers interested in large-scale human feedback

The infrastructure for the next generation of AI alignment is being built now. Let's build it together.