In the development scene of DeFi, on-chain gaming, and Web3 applications, a recurring challenge has frustrated countless engineers—data quality. Slow data, fake data, high costs... Even the smartest smart contracts can't withstand the garbage information fed into them. This obstacle has stalled the industry's progress.

A core issue stands before us: how can blockchain systems reliably acquire and verify real-world information? This is not only a technical problem but also a trust issue.

The APRO team is quite representative—comprising engineers, data scientists, industry veterans from major companies, and seasoned experts in the crypto field. Their consensus is simple: without a reliable data layer, the so-called decentralized future is impossible to realize. They have carefully studied why previous oracle solutions have failed—susceptible to attacks, severe response delays, and poorly designed incentive mechanisms. With limited resources and slow progress, they gradually formed the project's character: steady and cautious, verifying every step, and being especially cautious about the word "trust."

The earliest products they launched were not perfect. In the beginning, features were simple, only handling price data, and problems frequently occurred. Off-chain data and on-chain data often mismatched, verification costs were astonishingly high, and latency issues persisted. But the team did not shy away from these challenges—instead, they faced them head-on. They experimented with hybrid off-chain computation and on-chain verification, gradually developing two mechanisms: "data push" and "data pull"—the former prioritizing speed, the latter accuracy. Ironically, this seemingly "less pure" flexible design became their core competitive advantage later on.

During technological iterations, the team realized that relying solely on mathematics and cryptography was not enough. They introduced AI-driven verification mechanisms—not to chase trends but to deploy multiple defenses on-chain. AI models can identify anomalies in real-time, cross-verify multiple data sources, significantly enhancing the system's robustness.