7 filter dimensions.
AI does the syntax. You do the brief.
Scout's AI reads your plain-English brief and builds structured filters across the index. Every filter is visible. Refine any dimension, rerun in a click.
Job title
Head of Engineering, VP Engineering, Director of Engineering, plus variants. Titles are canonicalised, so "CEO" matches "Chief Executive Officer" and "MD" reads by industry context.
Skills
React · Python · AWS · Salesforce · SQL. Tagged against a standardised skill taxonomy. The same skill means the same thing whether a profile writes "JS" or "JavaScript".
Location
Auckland · Sydney · London · Remote · UK-wide. City, region, country. Every location canonicalised to a single geo record.
Industry
SaaS · FinTech · Healthcare · Retail · Legal. Inherited from the current employer's industry tag, drawn from 74M+ normalised company records.
Employer
Current or previous companies. Normalised: "Xero", "Xero Ltd" and "xero.com" resolve to the same record. Drawn from 925M+ work-experience records across the index.
Name
Search by name when you have a referral or already know who you're looking for. Pulls the contact straight to the top of the list.
880 million LinkedIn profiles.
One switch.
Toggle the entire index down to the LinkedIn-connected subset only. Profiles with a verified LinkedIn URL, verified work history, and public contact details. Same brief, narrower scope.
Accuracy is a philosophy.
Not a metric.
Four opinionated choices that run before a Scout match touches your screen.
Three sources rejected for every one in.
Every new source passes a quality gate: linkage accuracy, email validation, phone tagging. Only then does a single source land in the index. Thousands of datasets come in; only the ones that survive ship.
When in doubt, records split.
The engine is biased against false merges. It would rather miss a match than show you the wrong person. Accuracy comes before aggressive consolidation.
The index refreshes every month.
Every field (titles, employers, locations, skills) runs through the same standardisation pipeline. Canonicalised, normalised, with field-level de-duplication on every release.
Professional data only. No sensitive PII.
Every source is compliance-reviewed before it touches the index. No special-category attributes under GDPR Article 9: race, sexual orientation, trade union membership, genetic, medical, or political data. Excluded by design, not by filter.
Questions,
answered honestly.
The things recruiters ask before they switch sourcing tools. If we haven't answered yours, email Martin. He reads every message.
2.4 billion public professional profiles, with 880M+ LinkedIn-connected, plus 3.76M in New Zealand, 22M in Australia, 55M in the UK, and millions across 200+ other countries. The index is refreshed monthly.
Make hiring human again.
Thirty minutes with us, and you’ll know. We run Scout on a brief you’re filling now, walk your workflow through the ATS, and tell you straight if Caliber fits. No deck, no BDR, no follow-up sequence.