Introducing Scale Opal. Opal started as the first AI you can queue up with. But we realized something bigger. Every game session is raw behavioral data. Real decisions, real reactions, real strategy in structured environments. The AI industry needs this data and can't get it at scale. So we're building the infrastructure to capture it. Scale Opal turns gaming into a decentralized data engine. Play games. Generate data. Get paid.

Here's how it will work. You screen share your gameplay through our harness. We capture your visual feed and keystroke data in real time. This data maps directly onto problems the entire AI industry is trying to solve. Racing games become training data for self-driving models. Shooters become object tracking datasets. Strategy games become planning and resource allocation data for robotics.

We're accepting 100 players for our proof of concept launch. Spots are limited. Your gameplay gets benchmarked against our accuracy models. Clean driving lines, minimal collisions, consistent decision-making. The best data gets the best rewards. Payout rates are minimal right now. This is a beta. A proof of concept. We're here to prove the thesis that gaming data can train real AI models. If the data works, the payouts scale. Payouts run through the Solana wallet you're prompted with when you first load in. It's already built in.

Who's buying this data. AI companies training world models. Robotics companies that need human behavioral data but can't afford billion dollar annotation pipelines. Autonomous vehicle companies. Esports organizations that want to train on pro level decision making. Every company building embodied AI needs real human behavioral data at scale. Right now that data is either insanely expensive or doesn't exist. We're building the supply side.