See it. Strike through it. Build it.

Aura Vision — See it

Aura Vision reads a page the way a person would on first look: it works out what the page is — a product, a listing, a thread, a table — and then finds the data you asked for, wherever it sits in the code.

This used to mean writing rules that pointed at exact spots in the page — and every one of them broke the day the site was redesigned. We do not do that. A price is recognised as a price wherever it appears. When the site moves things around tomorrow, the sentence you wrote still works.

• Natural-language requests, resolved against any page structure
• No selectors to write, no schemas to version and maintain
• Resilient to redesigns, A/B variants, and per-device markup
• Handles pagination, infinite scroll, and virtualized result streams

Aura Strike — Strike through it

Most data projects do not fail at reading the page. They fail at getting in. Serious sites are protected by systems built to spot and block automated traffic — Akamai, DataDome and PerimeterX among them. Getting past those reliably is a skill of its own, and it is the one this team was built on.

Aura Strike is years of work spent understanding how these systems decide. They check how your connection looks, run puzzles in the browser to test it is real, watch how a session behaves, and tie it all to the device. We satisfy every one of those checks properly — not with stolen tokens, but with sessions that hold up to constant inspection, on network routes matched to each site.

The difference from an off-the-shelf tool shows up in month three, when the site changes its defences and everyone else's data stops arriving. We plan for that. Keeping up with it is the job.

• TLS, HTTP/2, and browser fingerprint engineering
• JavaScript challenge solving, kept current as targets rotate
• Behavioral and session modeling that survives scoring systems
• Proxy and network architecture matched to each target's risk model

Aura Build — Build it

The job is not done until you can trust the data. Aura Build turns what the first two stages collect into the thing you actually use: clean records with the right types, the right formats, and the same field names across every source.

Checking is the point. Prices are checked as numbers, dates as dates, currencies and units made consistent, duplicates removed. A record that fails a check is not sent — we flag it and collect it again. Then it lands wherever you want it: an endpoint we host, a file drop, a webhook, or scheduled files.

• Typed, validated JSON — checked before every delivery
• Currency, unit, and date normalization across sources
• Deduplication and change detection between runs
• Delivery via hosted endpoint, S3/GCS, webhook, or scheduled files