Fetcher

Fetcher leverages AI for automated candidate sourcing, emphasizing diversity-focused recruiting. The platform streamlines communication with candidates through automated outreach and follow-ups. Integration with existing ATS/CRM systems ensures seamless syncing, while customizable search criteria tailor searches to specific hiring needs. 

Fetcher provides data-driven insights for recruitment optimization and offers different pricing tiers, including a free option with limitations on monthly profiles. The platform enhances recruitment efficiency, actively builds diverse workforces, and facilitates streamlined candidate communication. It leverages data for informed hiring decisions and engages passive candidates effectively. 

Fetcher Features

• Automated Candidate Sourcing: Utilizes AI to find suitable candidates.

• Diversity-Focused Recruiting: Emphasizes creating diverse candidate pools.

• Automated Outreach and Follow-ups: Streamlines communication with candidates.

• Integration with ATS/CRM: Seamless syncing with existing systems.

• Data-Driven Insights: Offers analytics for recruitment optimization.

• Customizable Search Criteria: Tailors searches to specific hiring needs.

• Passive Candidate Engagement: Targets candidates not actively seeking jobs.

• Team Collaboration Tools: Facilitates teamwork in the recruitment process.

Fetcher Pricing

• Free: 50 profiles per month
• Growth: $199/user/month ($149/user/month annually)
• Amplify: $649/user/month ($549/user/month annually)

Fetcher Usages

• Enhanced Recruitment Efficiency: Using AI for rapid and precise sourcing of candidates, particularly for roles requiring specific skill sets.

• Building Diverse Workforces: Actively creating candidate pools that emphasize diversity, aiding companies in fostering inclusive workplaces.

• Streamlined Candidate Communication: Automating initial contact and follow-ups with candidates, thus saving time and ensuring consistent engagement.

• Data-Informed Hiring Decisions: Leveraging analytics to refine recruitment strategies and improve hiring outcomes.

• Effective Passive Candidate Engagement: Reaching out to individuals not actively job searching, thereby expanding the talent pool.

Fetcher Competitors

• Findem: It does talent acquisition with AI-driven sourcing, personalized engagement, and efficient application review. Aimed at diversity and informed decision-making, it integrates seamlessly for scalable candidate management. 

• Amazing Hiring: It uses AI sourcing to rapidly identify top candidates online. It streamlines recruitment with personalized engagement, direct contact features, and a browser extension. This customizable solution optimizes talent search, outreach, and comprehensive candidate profiling.

• Cogbee: It performs recruitment with AI-driven assessments, one-way video screenings, and agile remote proctoring. Seamlessly integrating with ATS, it optimizes talent evaluation and offers role-based user access for a tailored hiring experience.

Fetcher Launch and Funding

Fetcher was founded in 2015 by Andres Blank, Chris Calmeyn, Genevieve Wolff Jurvetson, Javier Castiarena, Natan Santolo and Santi Aimetta with Headquarters in the Greater New York Area, East Coast, Northeastern US. It last raised a Series B funding of $27M from Tola Capital bringing its total funding to $47.3M.

Fetcher Limitations

• AI Matching Precision: While AI enhances candidate sourcing, it may not always perfectly match candidate profiles with job requirements.

• Integration Complexity: Integrating with existing ATS/CRM systems can be complex and may require additional setup.