AI Trends

AI data collection is at the heart of how AI models learn. Without the correct data, even the most innovative artificial intelligence tools can’t do much.
Posted by Kael Odin on 2026-07-24 — 10 min read

EV charging networks face a strange data problem. The business looks physical: chargers, parking lots, grid connections, driver routes, and maintenance crews.
Posted by Xyla Huxley on 2026-07-10 — 20 min read

The newest visibility problem for B2B software companies is not only ranking on Google.
Posted by Xyla Huxley on 2026-07-10 — 20 min read

Most companies do not wake up one day and decide they need a residential proxy.
Posted by Xyla Huxley on 2026-07-08 — 20 min read

A residential proxy is often described as a way to route traffic through real-user IP addresses, but that definition undersells its value.
Posted by Xyla Huxley on 2026-07-07 — 20 min read

Residential proxy, LLM, sports video, and AI model training may sound like separate topics, but they are often parts of the same data problem.
Posted by Xyla Huxley on 2026-07-07 — 20 min read

AI model training conversations often start with model size, GPU clusters, token budgets, and evaluation scores.
Posted by Xyla Huxley on 2026-07-07 — 20 min read

Sports video is one of the most demanding categories for data collection.
Posted by Xyla Huxley on 2026-07-07 — 20 min read

An LLM can sound confident even when its context is incomplete. That is why teams building retrieval systems, evaluation datasets, search assistants, vertical copilots, and AI agents need to think carefully about where their web and SERP data comes from.
Posted by Xyla Huxley on 2026-07-07 — 20 min read