Wrangle is AI sourcing and outbound for recruiters. Briefs are written in natural language and profiles are scored against the whole brief rather than keyword matched; scheduled agents re-run searches, screen new candidates and explain their decisions; Collections keep a unified record of every interaction with a candidate; and Sequences draft personalised outreach from that context. It integrates with Ashby, Greenhouse, Lever and Recruit CRM.
Two things distinguish it from the crowded field around it. The accuracy claim is attached to a named public benchmark – 95.1% on the Exa AI People Search Eval – which is checkable in a way that vendor-reported percentages are not, and citing an external evaluation at all puts it ahead of competitors quoting their own numbers. And ‘visible reasoning’ matters more in recruiting than in most domains: a screening decision you cannot explain is a compliance problem as much as a product one, and shortlisting tools that emit a score with no rationale leave the recruiter unable to defend it.
The remaining claims are softer than the benchmark – 3x response rates, 8x faster to shortlist, $25k saved per hire come with no methodology – and should be read as marketing rather than evidence. The broader caution applies to every tool in this category: automated candidate scoring is subject to bias audit requirements under NYC Local Law 144 and comparable rules elsewhere, and visible reasoning helps with that without satisfying it. Pricing is per seat and steep for the category – Starter $199 a month per seat, Scale $499 – which suits an agency billing the cost onward better than an in-house team of two.
