Fetcher

Fetcher is a recruiting platform that uses AI to automatically source, reach out, and engage candidates. It helps teams fill roles faster by streamlining candidate discovery, outreach sequences, and performance analytics.
Pricing Model: Paid
https://www.fetcher.ai
Release Date: 28/02/2025

Fetcher Features:

  • Automated candidate sourcing from multiple sources to build curated talent batches
  • Outbound email and outreach sequence automation to engage passive candidates
  • Diversity search filters and goals to build more inclusive pipelines
  • Integration with ATSs, CRMs, email tools, LinkedIn plugins, Slack etc.
  • Analytics dashboards to monitor sourcing, engagement rates, response rates, and funnel metrics
  • Inbound applicant review workflows to manage incoming candidate applications easily
  • Success team support and human-in-the-loop features to enhance quality of sourcing
  • Customizable talent pools and segments based on skills, experience, and location
  • Candidate profile refresh/enrichment to keep data up-to-date
  • Automated scheduling, outreach templates, and streamlined candidate outreach operations

Fetcher Description:

Fetcher is an AI-driven talent sourcing and outreach platform built to help recruiting teams reduce time-to-hire and improve candidate quality. Through combining automated tools and human expertise, the platform assists companies in identifying, engaging, and nurturing potential candidates before and during the recruitment process. Users define role criteria, skills, experience levels, and diversity goals. Fetcher then curates candidate profiles from a range of sources, enriching them with relevant data, and automatically conducting outreach via personalized email sequences.

Recruiters can manage whether sourcing is passive or active, depending on how difficult a role is to fill. For less competitive roles, Fetcher streamlines review of inbound applicants. For harder to fill roles, it enables outbound sourcing to proactively identify passive talent. The platform also offers integrations to Applicant Tracking Systems, LinkedIn plugins, email/calendar tools, and Slack so that candidate data flows more smoothly, avoiding manual copy-pasting or fragmented workflows.

Performance metrics are a key component of Fetcher. It provides dashboards showing numbers of candidates sourced, contacted, engaged, and hired, with analytics around how fast outreach yields responses, and how well the sourced candidates match hiring criteria. Recruiting teams benefit from features like diversity tracking to ensure pipelines are representative, profile refresh to maintain current candidate information, and human support for overseeing quality in critical roles.

Fetcher’s pricing is structured in tiers designed for growing to scaling teams. While there is no forever-free major tier, plans begin at a price point suitable for smaller teams and scale upward based on volume of candidate sourcing, managed roles, seats, and support. For companies with heavy hiring needs, high outreach volumes, and tight deadlines, Fetcher helps reduce manual sourcing costs and allows recruiters to spend more time on candidate experience, interviews, and relationship building rather than searching.

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