Organization Name – Grass

Category – Data & Analytics

About

powered by irmaAI

Grass sits between people who have residential bandwidth and AI companies that need data scraped through non-datacenter IP addresses, and it captures value from connecting them. Three million users have installed the Grass extension. $GRASS is listed on tier-1 exchanges. The company reports $33 million in annualized revenue — a figure sourced from company disclosures. By aggregation-theory logic, this is a strong early position: Grass controls the supply side (residential nodes) and the demand side (AI training data buyers) simultaneously.

The strategic question is whether the position is… durable. Data scraping through residential proxies creates legal and regulatory exposure that accumulates at the aggregator level, not the contributor level. The legal and ethical contours of residential proxy networks for AI training data collection are not settled territory — contributing residential bandwidth through a proxy network creates considerations the platform’s incentive design is not built to surface prominently for contributors. Readers should investigate this dimension independently before significant participation.

No team members are publicly identified — a standard transparency gap. Whether the aggregation position is defensible against regulatory pressure or alternative DePIN architectures serving the same AI-training-data demand is the right strategic question. For the broader DePIN context in which Grass operates, see decentralized physical infrastructure networks. VBTS is 9.09 — 50th percentile. The business model is coherent; the residential-proxy legal surface requires independent assessment before participation at scale. Read More