AI Boulder Problem Generation: How It Works

How does a computer "know" how to set a boulder? It starts with data. MAKIG uses a combination of computer vision and deep reinforcement learning to understand the climbing wall environment.

The Digital Twin

First, we create a digital twin of your climbing wall and the holds available. MAKIG's database includes 3D scans of thousands of hold models from major manufacturers. The AI knows the texture, positivity, and size of every hold.

The Generation Process

When you ask MAKIG to generate a boulder problem, it simulates millions of potential sequences. It evaluates them based on difficulty, flow, and safety. The result is a curated selection of routes that fit your specific criteria (grade, wall angle, hold set) instantly. It's not random; it's calculated creativity.