All inventions

Prototype

Raquel

Compression before the tokens are spent.

Status. Cursor prototype, demoable.

What it does. A token compression method invented from scratch. Comparative tested against existing alternatives on real token workloads and outperformed them.

Why it matters. Token cost is a real constraint for every AI product. Reducing tokens before they are spent reduces cost downstream.

Problems solved. Cost reduction, throughput improvement, novel compression approach.

Competitors. General-purpose compression and token-efficiency techniques. Difference: designed for AI workloads.

Availability. Prototype, demoable on request.