Artificial Intelligence isn’t magic. It’s just pattern recognition at scale.

It started with simple if-then rules and humans telling computers exactly what to do. As data exploded, we taught machines to find patterns themselves. Then came deep learning, layering these patterns to spot edges, shapes, and entire objects, helping systems understand language and images at scale.

Underneath it all, AI needs three ingredients:

- Data(examples to learn from)
- Compute (the power to crunch the data)
- Algorithms (the methods that guide learning and decision-making)

Get these right, and you have a system that can see, predict, and generate. Miss one, and you’re back to square one.

At Lilypad, we’re focused on the “compute” piece, making it permissionless, accessible, and scalable for builders who are ready to push the boundaries of AI.