Fetcher

Fetcher offers software for talent acquisition teams that automates candidate sourcing, engagement, and recruiting analytics. Rather than requiring recruiters to search databases, job boards, and resumes manually, the platform combines AI-based screening with a human expert team that assembles candidate profiles matched to a customer's hiring requirements. Sourced candidates can be reviewed in batches and pushed into automated email campaigns, with responses returning to the recruiter's inbox.

The product spans both outbound sourcing and, following a newer release, inbound recruiting, so customers can screen applicants with AI when candidate supply is plentiful and shift to outbound search when roles are harder to fill. Additional capabilities include configurable diversity search criteria intended to help teams build more representative pipelines, recruitment analytics, and integrations with applicant tracking systems, CRMs, email, and Slack.

Business model

Fetcher sells a talent sourcing and candidate engagement platform to employers' recruiting and people teams, pairing its software with a sourcing team that curates candidate profiles; prospective customers are directed to book a demo or get started via the website.

Traction

Publicly cited usage figures include an average of 23 seconds spent vetting a sourced candidate, roughly 17 hours saved per role, a 40% average response rate on automated email sequences, and claimed savings of $20,000 per recruiter per year in hourly sourcing costs. Named customer references include people and talent leaders who describe reviewing candidate batches in 15 minutes or less.