Turning public websites and Companies House records into cleaner business intelligence.

Business data is rarely clean when you first find it. A company might have a website, phone number, email address, social profiles, trading address, registration number, sector, directors and official Companies House record, but those details are usually scattered across different public sources.

DataLocate was built to turn that messy public information into something a business could actually search, trust and use. The challenge was not just collecting pages. It was finding the right signals, removing duplicates, cleaning values and connecting them to official company context.

The crawler discovers or imports websites, runs controlled scans, stores page snapshots and extracts useful business signals such as emails, phone numbers, social links, company numbers and page metadata. Those values are then normalised, deduplicated and scored before being stored in a searchable data bank.

The Companies House service adds the official layer around that data: company records, statuses, SIC codes, registered office details, officers, people with significant control, charges and filing history. Together, the two systems create a cleaner business profile than either source could provide alone.

The crawl engine uses scheduled scans, proxy controls, user agents, page limits and response checks to gather public website content safely and repeatably. Each page is stored as a version, tagged by page type and made available for later analysis without needing to crawl the same site again.

The analyser then runs configurable formulas and AI prompts across the stored pages. Data points are cleaned into standard formats, hashed for deduplication and scored for confidence. The Companies House mirror makes the official company data searchable and available for enrichment through API and dashboard views.

A raw crawl gives you pages. DataLocate turns those pages into structured business intelligence: contact details, categories, source trails, confidence scores and official company context.

That matters for teams who need to filter markets, enrich company lists, identify useful prospects, reduce duplicate records and make better use of public business information without relying on manual research.