Last updated: 2026-05-06
robots.txt and rate limits when fetching public web pages.Companies House is the UK Government register of incorporated businesses. It is public by Act of Parliament — every UK limited company is required by statute to file its directors, address, accounts and other information.
We use the official Companies House Public Data API to retrieve: company names & numbers, registered office addresses, SIC codes, incorporation dates, officer appointments & resignations, persons-with-significant-control, filing history, charges, insolvency cases, and filed accounts (iXBRL or PDF).
For each lead, we may fetch up to ~16 pages of the company's own website (the homepage and a list of
canonical contact-page paths: /contact, /about, /team, /people,
/leadership, /legal, etc.). We extract:
info@, sales@,
named contacts on a team page).tel: hrefs and free text.
We honour robots.txt and use a small number of bounded fetches per lead. We do not
crawl outside the canonical contact-style paths and we do not store full HTML beyond what's
needed to extract the structured fields above.
SerpAPI is a paid search-result aggregator that returns Google's public index for a search query. We use it to identify:
The data we receive from SerpAPI is the Google search-result snippet, not the underlying page content. SerpAPI is the data source; the pages it indexes remain controlled by their owners.
Our position on LinkedIn data is deliberately conservative:
We perform a single DNS query per lead to read the company's public MX (mail-exchange) records. This tells us which email infrastructure the company uses (Microsoft 365, Google Workspace, Mimecast, etc.). DNS records are public by design — they are how mail-routing on the internet works. No authentication is involved.
Hunter is a third-party email-pattern provider. Our integration:
example.co.uk) and receives back the company's email pattern
(e.g. {first}.{last}@) plus a list of publicly-listed email addresses Hunter has
gathered for that domain.Hunter is the data controller for its own database. Our use is subject to Hunter's terms and privacy policy.
OpenAI's models are used to generate plain-English company summaries, "why-now" outreach rationales, and to interpret user-typed search criteria. We send only what's needed for the immediate task and do not allow OpenAI to use our data for model training (we use API endpoints with training-opt-out by default). Outputs are AI-generated and may contain inaccuracies; users are required by our Terms to verify against source data before acting.
See the Sub-processors page for the full list, including hosting, payments, and transactional email.