Revolutionizing AI Training, Data Collection, and User Verification Through Gaming

Traditional CAPTCHAs create friction with a passive experience that interrupts user workflow. Static data labeling is inefficient, with 25% of users abandoning forms due to frustration with complex verification challenges.

Space Trainer transforms security into entertainment through active gameplay that users enjoy. Dynamic AI training occurs naturally during play, with 98% of users preferring this engaging approach and 40% higher completion rates.
We collect and anonymize player interactions, creating valuable labeled datasets similar to CAPTCHA but at much higher volume and quality. This data can be licensed to AI companies for training computer vision and decision-making models.
$29.7B market by 2026 (21.9% CAGR)
Grandview Research projects the AI datasets and licensing market to grow at 26.8% CAGR (2025–2030), driven by demand for specialized academic and commercial training data.
We offer custom reinforcement learning environments for businesses. Companies can train their AI models directly using our game platform, with real human gameplay providing the training signals for strategic decision-making.
35% YoY growth in Cloud AI platforms
The Cloud AI market is forecast to grow at 32.4% CAGR (2024–2029), driven by enterprise adoption of scalable AI tools. Source: MarketsandMarkets
Beyond just labeled data, we capture complete gameplay sequences that feed directly into reinforcement learning loops. This allows AI models to learn complex strategies and decision-making from human players in dynamic environments.
18% of platforms use real-time data
IDC forecasts cloud services spending to double by 2028, fueled by AI adoption.
Our platform integrates seamlessly with websites and mobile apps, replacing traditional CAPTCHAs while collecting valuable training data. Website owners can monetize user verification through our revenue-sharing program.
58% of gaming revenue from mobile by 2026
Mobile gaming accounts for 49% of global revenue ($92.6B in 2026), with projections to reach $103B by 2027. Newzoo via The National | Statista via Udonis

Deep Q-Learning Neural Network Architecture
Our platform collects two types of valuable AI training data: 1) Labeled visual data similar to CAPTCHA but at higher volume, and 2) Complete gameplay sequences that feed directly into reinforcement learning models, teaching AI strategic decision-making in dynamic environments.